ICML2023

会议论文列表

本会议共有 1828 篇论文

序号	标题	链接	推荐理由	推荐度	摘要	作者	组织
1		Data Structures for Density Estimation		0		Alexandr Andoni, Anders Aamand, Justin Y. Chen, Piotr Indyk, Sandeep Silwal, Shyam Narayanan
2		ClusterFuG: Clustering Fully connected Graphs by Multicut		0		Ahmed Abbas, Paul Swoboda
3		Generalization on the Unseen, Logic Reasoning and Degree Curriculum		0		Aryo Lotfi, Emmanuel Abbe, Kevin Rizk, Samy Bengio
4		Toward Large Kernel Models		0		Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit
5		Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making		0		Ann Nowé, Axel Abels, Tom Lenaerts, Vito Trianni
6		Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects		0		Antoine Bertoncello, Josselin Garnier, Naoufal Acharki, Ramiro Lugo
7		BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming		0		Andrea Patane, Luca Laurenti, Morteza Lahijanian, Steven Adams
8		SAM operates far from home: eigenvalue regularization as a dynamical phenomenon		0		Atish Agarwala, Yann N. Dauphin
9		Second-order regression models exhibit progressive sharpening to the edge of stability		0		Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington
10		Global optimality of Elman-type RNNs in the mean-field regime		0		Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee
11		SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification		0		Ameet Deshpande, Karthik R. Narasimhan, Pranjal Aggarwal
12		Adaptive IMLE for Few-shot Pretraining-free Generative Modelling		0		Ke Li, Mehran Aghabozorgi, Shichong Peng
13		Scaling Laws for Generative Mixed-Modal Language Models		0		Alexis Conneau, Armen Aghajanyan, Karen Hambardzumyan, Lili Yu, Luke Zettlemoyer, Naman Goyal, Omer Levy, Stephen Roller, Susan Zhang, WeiNing Hsu
14		Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability		0		Anass Aghbalou, Guillaume Staerman
15		Constrained Causal Bayesian Optimization		0		Alan Malek, Ira Ktena, Silvia Chiappa, Virginia Aglietti
16		Explaining the effects of non-convergent MCMC in the training of Energy-Based Models		0		Aurélien Decelle, Beatriz Seoane, Elisabeth Agoritsas, Giovanni Catania
17		Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies		0		Adam Tauman Kalai, Gati V. Aher, Rosa I. Arriaga
18		Interventional Causal Representation Learning		0		Divyat Mahajan, Kartik Ahuja, Yixin Wang, Yoshua Bengio
19		Sequential Underspecified Instrument Selection for Cause-Effect Estimation		0		Elisabeth Ailer, Jason S. Hartford, Niki Kilbertus
20		Atari-5: Distilling the Arcade Learning Environment down to Five Games		0		Marcus Hutter, Matthew Aitchison, Penny Sweetser
21		Towards credible visual model interpretation with path attribution		0		Mohammad A. A. K. Jalwana, Naveed Akhtar
22		Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data		0		Ahmet Alacaoglu, Hanbaek Lyu
23		Recasting Self-Attention with Holographic Reduced Representations		0		Edward Raff, James Holt, Mohammad Mahmudul Alam, Stella Biderman, Tim Oates
24		The Saddle-Point Method in Differential Privacy		0		Flávio P. Calmon, Juan Felipe Gómez, Lalitha Sankar, Oliver Kosut, Shahab Asoodeh, Wael Alghamdi
25		Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think		0		Christian H. X. Ali MehmetiGöpel, Jan Disselhoff
26		A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models		0		Balaji Lakshminarayanan, Dustin Tran, James Urquhart Allingham, Jeremiah Zhe Liu, Jie Ren, Michael W. Dusenberry, Xiuye Gu, Yin Cui
27		On the Privacy-Robustness-Utility Trilemma in Distributed Learning		0		John Stephan, Nirupam Gupta, Rachid Guerraoui, Rafael Pinot, Youssef Allouah
28		Differentially Private Distributed Bayesian Linear Regression with MCMC		0		Baris Alparslan, S. Ilker Birbil, Sinan Yildirim
29		Robust and Scalable Bayesian Online Changepoint Detection		0		FrançoisXavier Briol, Jeremias Knoblauch, Matías Altamirano
30		Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels		0		Fabian Altekrüger, Gabriele Steidl, Johannes Hertrich
31		Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost		0		András György, Lin Yang, Sanae Amani, Tor Lattimore
32		A Kernelized Stein Discrepancy for Biological Sequences		0		Alan Nawzad Amin, Debora Susan Marks, Eli N. Weinstein
33		The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation		0		Csaba Szepesvári, Nan Jiang, Philip Amortila
34		Meta Optimal Transport		0		Brandon Amos, Giulia Luise, Ievgen Redko, Samuel Cohen
35		Near-Optimal Φ-Regret Learning in Extensive-Form Games		0		Gabriele Farina, Ioannis Anagnostides, Tuomas Sandholm
36		A Modern Look at the Relationship between Sharpness and Generalization		0		Francesco Croce, Maksym Andriushchenko, Matthias Hein, Maximilian Müller, Nicolas Flammarion
37		SGD with Large Step Sizes Learns Sparse Features		0		Aditya Vardhan Varre, Loucas PillaudVivien, Maksym Andriushchenko, Nicolas Flammarion
38		Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series		0		Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh
39		Paging with Succinct Predictions		0		Adam Polak, Antonios Antoniadis, Bertrand Simon, Joan Boyar, Kim S. Larsen, Lene Monrad Favrholdt, Marek Eliás, Ruben Hoeksma
40		Mixing Predictions for Online Metric Algorithms		0		Adam Polak, Antonios Antoniadis, Bertrand Simon, Christian Coester, Marek Eliás
41		Exponential Smoothing for Off-Policy Learning		0		Anna Korba, David Rohde, Imad Aouali, VictorEmmanuel Brunel
42		Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models		0		Christopher Liaw, Hassan Ashtiani, Jamil Arbas
43		Principled Acceleration of Iterative Numerical Methods Using Machine Learning		0		Qianxiao Li, Sohei Arisaka
44		Faster Rates of Convergence to Stationary Points in Differentially Private Optimization		0		Cristóbal Guzmán, Enayat Ullah, Michael Menart, Raef Bassily, Raman Arora, Tomás González
45		Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning		0		Eugene Belilovsky, MohammadReza Davari, Nader Asadi, Rahaf Aljundi, Sudhir P. Mudur
46		Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime		0		Hilal Asi, Kunal Talwar, Tomer Koren, Vitaly Feldman
47		From Robustness to Privacy and Back		0		Hilal Asi, Jonathan R. Ullman, Lydia Zakynthinou
48		SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance		0		Amit Attia, Tomer Koren
49		Adversarially Robust PAC Learnability of Real-Valued Functions		0		Idan Attias, Steve Hanneke
50		Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning		0		Andreas Loukas, Mattia Atzeni, Mrinmaya Sachan
51		Learning to Initiate and Reason in Event-Driven Cascading Processes		0		Eli A. Meirom, Gal Chechik, Shie Mannor, Yuval Atzmon
52		On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm		0		Julien Aubert, Luc Lehéricy, Patricia ReynaudBouret
53		Dirichlet Diffusion Score Model for Biological Sequence Generation		0		Chenlai Shi, Jian Zhou, Kseniia Dudnyk, Pavel Avdeyev, Yuhao Tan
54		Gradient Descent Converges Linearly for Logistic Regression on Separable Data		0		Kyriakos Axiotis, Maxim Sviridenko
55		Naive imputation implicitly regularizes high-dimensional linear models		0		Alexis Ayme, Aymeric Dieuleveut, Claire Boyer, Erwan Scornet
56		Half-Hop: A graph upsampling approach for slowing down message passing		0		ChiHeng Lin, Eva L. Dyer, Lakshmi Sathidevi, Mehdi Azabou, Michal Valko, Petar Velickovic, Ran Liu, Shantanu Thakoor, Venkataramana Ganesh
57		CLUTR: Curriculum Learning via Unsupervised Task Representation Learning		0		Abdus Salam Azad, Aleksandra Faust, Ion Stoica, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Pieter Abbeel
58		Personalized Subgraph Federated Learning		0		Jaehong Yoon, Jinheon Baek, Jiongdao Jin, Sung Ju Hwang, Wonyong Jeong
59		Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language		0		Alexei Baevski, Arun Babu, Michael Auli, WeiNing Hsu
60		Efficient preconditioned stochastic gradient descent for estimation in latent variable models		0		Charlotte Baey, Estelle Kuhn, JeanBenoist Leger, Maud Delattre, Sarah Lemler
61		Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection		0		Gregory Canal, Haoyue Bai, Jeongyeol Kwon, Robert D. Nowak, Xuefeng Du, Yixuan Li
62		Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization		0		Juanzi Li, Lei Hou, Xin Lv, Yushi Bai
63		Linear optimal partial transport embedding		0		Ivan Vladimir Medri, Rana Muhammad Shahroz Khan, Rocio Diaz Martin, Soheil Kolouri, Yikun Bai
64		Implicit Graph Neural Networks: A Monotone Operator Viewpoint		0		Bao Wang, Cory D. Hauck, Justin M. Baker, Qingsong Wang
65		Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems		0		Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau
66		Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures		0		Laura Grigori, Matthias Beaupère, Oleg Balabanov, Victor Lederer
67		Efficient Online Reinforcement Learning with Offline Data		0		Ilya Kostrikov, Laura Smith, Philip J. Ball, Sergey Levine
68		Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes		0		Marin Ballu, Quentin Berthet
69		On the Functional Similarity of Robust and Non-Robust Neural Representations		0		András Balogh, Márk Jelasity
70		Robust Budget Pacing with a Single Sample		0		Balasubramanian Sivan, Di Wang, Rachitesh Kumar, Santiago R. Balseiro, Vahab Mirrokni
71		Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time		0		Kiarash Banihashem, Leyla Biabani, MohammadTaghi Hajiaghayi, Morteza Monemizadeh, Peyman Jabbarzade, Samira Goudarzi
72		One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale		0		Chongxuan Li, Fan Bao, Gang Yue, Hang Su, Jun Zhu, Kaiwen Xue, Shen Nie, Shi Pu, Yaole Wang, Yue Cao
73		Optimizing the Collaboration Structure in Cross-Silo Federated Learning		0		Haohan Wang, Jingrui He, Jun Wu, Wenxuan Bao
74		MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation		0		Lior Yariv, Omer BarTal, Tali Dekel, Yaron Lipman
75		Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space		0		Anas Barakat, Ilyas Fatkhullin, Niao He
76		Interpretable Neural-Symbolic Concept Reasoning		0		Alberto Tonda, Francesco Giannini, Frédéric Precioso, Gabriele Ciravegna, Giuseppe Marra, Lucie Charlotte Magister, Mateja Jamnik, Mateo Espinosa Zarlenga, Pietro Barbiero, Pietro Lio
77		Moccasin: Efficient Tensor Rematerialization for Neural Networks		0		Bistra Dilkina, Burak Bartan, Christopher Lott, Haoming Li, Harris Teague
78		User-level Private Stochastic Convex Optimization with Optimal Rates		0		Raef Bassily, Ziteng Sun
79		A Statistical Perspective on Retrieval-Based Models		0		Ankit Singh Rawat, Manzil Zaheer, Soumya Basu
80		Human-Timescale Adaptation in an Open-Ended Task Space		0		Adrian Collister, Alexander Zacherl, Avishkar Bhoopchand, Edward Hughes, Feryal M. P. Behbahani, Hannah Openshaw, Jack ParkerHolder, Jakob Bauer, Jakub Sygnowski, Karl Tuyls, Karol Gregor, Kate Baumli, Lei M. Zhang, Lucy Gonzalez, Maria LoksThompson, Michael Chang, Natalie Clay, Nathalie BradleySchmieg, Nemanja Rakicevic, Nicolas Perez Nieves, Sarah York, Satinder Singh, Sheleem Kashem, Shreya Pathak, Tim Rocktäschel, Vibhavari Dasagi, Yannick Schroecker
81		A Kernel Stein Test of Goodness of Fit for Sequential Models		0		Arthur Gretton, Heishiro Kanagawa, Jerome Baum
82		Individually Fair Learning with One-Sided Feedback		0		Aaron Roth, Yahav Bechavod
83		Predicting Ordinary Differential Equations with Transformers		0		Alexander Neitz, Giambattista Parascandolo, Michal Klein, Niki Kilbertus, Sören Becker
84		Explaining Reinforcement Learning with Shapley Values		0		Daniel Beechey, Thomas M. S. Smith, Özgür Simsek
85		TIDE: Time Derivative Diffusion for Deep Learning on Graphs		0		Maks Ovsjanikov, Maximilian Krahn, Maysam Behmanesh
86		Fast as CHITA: Neural Network Pruning with Combinatorial Optimization		0		Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder, Riade Benbaki, Wenyu Chen, Xiang Meng, Zhe Zhao
87		Continuously Parameterized Mixture Models		0		Christopher M. Bender, Junier Oliva, Marc Niethammer, Yifeng Shi
88		Controllable Neural Symbolic Regression		0		Luca Biggio, PierreAlexandre Kamienny, Tommaso Bendinelli
89		On Second-Order Scoring Rules for Epistemic Uncertainty Quantification		0		Eyke Hüllermeier, Viktor Bengs, Willem Waegeman
90		Certified Robust Neural Networks: Generalization and Corruption Resistance		0		Bart P. G. Van Parys, M. Amine Bennouna, Ryan Lucas
91		Gaussian processes at the Helm(holtz): A more fluid model for ocean currents		0		Brian L. Trippe, David R. Burt, Junfei Xia, Kaushik Srinivasan, Renato Berlinghieri, Ryan James Giordano, Tamara Broderick, Tamay M. Özgökmen
92		Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion		0		Alberto Marchesi, Andrea Celli, Francesco Trovò, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti
93		Constrained Phi-Equilibria		0		Alberto Marchesi, Francesco Trovò, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti
94		Differentiable and Transportable Structure Learning		0		Fergus Imrie, Jeroen Berrevoets, Mihaela van der Schaar, Nabeel Seedat
95		Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision		0		Arturs Berzins
96		Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks		0		Andres TroyaGalvis, Guillaume Coiffier, Louis Béthune, Mathieu Serrurier, Paul Novello, Quentin Vincenot, Thibaut Boissin
97		Neural Algorithmic Reasoning with Causal Regularisation		0		Beatrice Bevilacqua, Borja Ibarz, Charles Blundell, Ioana Bica, Jovana Mitrovic, Kyriacos Nikiforou, Michela Paganini, Petar Velickovic
98		Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference		0		Ayush Bharti, FrançoisXavier Briol, Masha Naslidnyk, Oscar Key, Samuel Kaski
99		Bandit Online Linear Optimization with Hints and Queries		0		Aditya Bhaskara, Ashok Cutkosky, Manish Purohit, Ravi Kumar
100		Improved Online Conformal Prediction via Strongly Adaptive Online Learning		0		Aadyot Bhatnagar, Caiming Xiong, Huan Wang, Yu Bai
101		Data-Copying in Generative Models: A Formal Framework		0		Kamalika Chaudhuri, Robi Bhattacharjee, Sanjoy Dasgupta
102		Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling		0		Aviya Skowron, Edward Raff, Eric Hallahan, Hailey Schoelkopf, Herbie Bradley, Kyle O'Brien, Lintang Sutawika, Mohammad Aflah Khan, Oskar van der Wal, Quentin Gregory Anthony, Shivanshu Purohit, Stella Biderman, USVSN Sai Prashanth
103		StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes		0		N. M. Anoop Krishnan, Sahil Manchanda, Sayan Ranu, Srikanth Sastry, Vaibhav Bihani
104		Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion		0		Anderson Schneider, Kashif Rasul, Marin Bilos, Stephan Günnemann, Yuriy Nevmyvaka
105		In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation		0		Julian Bitterwolf, Matthias Hein, Maximilian Müller
106		Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames		0		Aravindh Mahendran, Gamaleldin Fathy Elsayed, Mehdi S. M. Sajjadi, Ondrej Biza, Sjoerd van Steenkiste, Thomas Kipf
107		Understanding Oversquashing in GNNs through the Lens of Effective Resistance		0		Amir Nayyeri, Mitchell Black, Yusu Wang, Zhengchao Wan
108		Unit Scaling: Out-of-the-Box Low-Precision Training		0		Carlo Luschi, Charlie Blake, Douglas Orr
109		FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems		0		Marc Lelarge, Matthieu Blanke
110		Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits		0		Markus Bläser
111		Learning the Dynamics of Sparsely Observed Interacting Systems		0		Adeline Fermanian, Agathe Guilloux, AnneSophie Jannot, Linus Bleistein
112		Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions		0		Anay Mehrotra, L. Elisa Celis, Lingxiao Huang, Niclas Boehmer, Nisheeth K. Vishnoi
113		Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist		0		Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy
114		A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks		0		David Boetius, Stefan Leue, Tobias Sutter
115		Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels		0		Marco Mondelli, Shayan Kiyani, Simone Bombari
116		Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals		0		Alain Rakotomamonjy, Benoît Malézieux, Clément Bonet, Lucas Drumetz, Matthieu Kowalski, Nicolas Courty, Thomas Moreau
117		Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere		0		Anima Anandkumar, Boris Bonev, Christian Hundt, Jaideep Pathak, Karthik Kashinath, Maximilian Baust, Thorsten Kurth
118		The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning		0		Bruno Gaujal, Victor Boone
119		Model-agnostic Measure of Generalization Difficulty		0		Akhilan Boopathy, Asaad Mohammedsaleh, Ila Fiete, Jaedong Hwang, Kevin Liu, Shu Ge
120		Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge		0		Dino Sejdinovic, Jake Fawkes, Shahine Bouabid
121		In Search for a Generalizable Method for Source Free Domain Adaptation		0		Bart van Merrienboer, Eleni Triantafillou, Malik Boudiaf, Tom Denton, Vincent Dumoulin
122		Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling		0		Aaron Sidford, Adam Bouland, Kevin Tian, Yosheb M. Getachew, Yujia Jin
123		Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?		0		Akash Nagaraj, Julien Colin, Lakshya Singhal, Rishav Mukherji, Thomas Fel, Thomas Serre, Victor Boutin
124		Settling the Reward Hypothesis		0		David Abel, John D. Martin, Michael Bowling, Will Dabney
125		ILLUME: Rationalizing Vision-Language Models through Human Interactions		0		Björn Deiseroth, Kristian Kersting, Manuel Brack, Patrick Schramowski
126		Provably Learning Object-Centric Representations		0		Bernhard Schölkopf, Jack Brady, Julius von Kügelgen, Roland S. Zimmermann, Wieland Brendel, Yash Sharma
127		Quantifying Human Priors over Social and Navigation Networks		0		Gecia Bravo Hermsdorff
128		Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss		0		Guido Montúfar, Jing An, Katerina Papagiannouli, Pierre Bréchet
129		Emergence of Sparse Representations from Noise		0		Bruno A. Olshausen, Gabriel Kreiman, Rylan Schaeffer, Trenton Bricken
130		Differentially Private Optimization on Large Model at Small Cost		0		George Karypis, Sheng Zha, YuXiang Wang, Zhiqi Bu
131		Machine Learning Force Fields with Data Cost Aware Training		0		Alexander Bukharin, Shengjie Wang, Simiao Zuo, Tianyi Liu, Tuo Zhao, Weihao Gao, Wen Yan
132		Label differential privacy and private training data release		0		Andrés Muñoz Medina, Róbert Istvan BusaFekete, Sergei Vassilvitskii, Umar Syed
133		The SSL Interplay: Augmentations, Inductive Bias, and Generalization		0		Alberto Bietti, Bobak Toussi Kiani, Randall Balestriero, Vivien Cabannes, Yann LeCun
134		Online Mechanism Design for Information Acquisition		0		Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
135		MyoDex: A Generalizable Prior for Dexterous Manipulation		0		Sudeep Dasari, Vikash Kumar, Vittorio Caggiano
136		What Can Be Learnt With Wide Convolutional Neural Networks?		0		Alessandro Favero, Francesco Cagnetta, Matthieu Wyart
137		Causal Discovery with Latent Confounders Based on Higher-Order Cumulants		0		Kun Zhang, Ruichu Cai, Wei Chen, Zhifeng Hao, Zhiyi Huang
138		On the Connection Between MPNN and Graph Transformer		0		Chen Cai, Rose Yu, Truong Son Hy, Yusu Wang
139		Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition		0		Anbang Yao, Dongqi Cai, Yangyuxuan Kang, Yurong Chen
140		Extrapolated Random Tree for Regression		0		Hanfang Yang, Yiwei Dong, Yuchao Cai, Yuheng Ma
141		Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization		0		Chaobing Song, Jelena Diakonikolas, Stephen J. Wright, Xufeng Cai
142		Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?		0		Ruisi Cai, Zhangyang Wang, Zhenyu Zhang
143		Doubly Optimal No-Regret Learning in Monotone Games		0		Weiqiang Zheng, Yang Cai
144		Multi-Agent Learning from Learners		0		Francesco Chini, Mine Melodi Caliskan, Setareh Maghsudi
145		Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network		0		Chenfanfu Jiang, Menglei Chai, Minchen Li, Yadi Cao
146		Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization		0		Felix Jimenez, Florian Tobias Schäfer, Huiyan Sang, Jian Cao, Matthias Katzfuss, Myeongjong Kang
147		Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation		0		Deva Ramanan, James Hays, Liangyan Gui, Mengtian Li, Shengcao Cao, YuXiong Wang
148		One-sided Matrix Completion from Two Observations Per Row		0		Gregory Valiant, Percy Liang, Steven Cao
149		State and parameter learning with PARIS particle Gibbs		0		Eric Moulines, Gabriel Cardoso, Jimmy Olsson, Sylvain Le Corff, Yazid Janati El Idrissi
150		Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning		0		Clément Romac, Olivier Sigaud, PierreYves Oudeyer, Sylvain Lamprier, Thomas Carta, Thomas Wolf
151		Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning		0		Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
152		Scalable Safe Policy Improvement via Monte Carlo Tree Search		0		Alberto Castellini, Alessandro Farinelli, Edoardo Zorzi, Federico Bianchi, Matthijs T. J. Spaan, Thiago D. Simão
153		LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning		0		Nathalie Baracaldo, Shiqiang Wang, Stacy Patterson, Swanand Kadhe, Timothy Castiglia, Yi Zhou
154		On the Robustness of Text Vectorizers		0		Damien Garreau, Rémi Catellier, Samuel Vaiter
155		Learning Globally Smooth Functions on Manifolds		0		Alejandro Ribeiro, Benjamin David Haeffele, Juan Cerviño, Luiz F. O. Chamon, René Vidal
156		Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond		0		Chulhee Yun, Jaewook Lee, Jaeyoung Cha
157		Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations		0		Jaehoon Cha, Jeyan Thiyagalingam
158		STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning		0		Alec Koppel, Amrit S. Bedi, Dinesh Manocha, Furong Huang, Mengdi Wang, Souradip Chakraborty
159		Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits		0		Ambuj Tewari, Saptarshi Roy, Sunrit Chakraborty
160		Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition		0		Diana L. Borsa, Rémi Munos, Shantanu Thakoor, Will Dabney, Yash Chandak, Yunhao Tang, Zhaohan Daniel Guo
161		Memory-Based Dual Gaussian Processes for Sequential Learning		0		Arno Solin, Mohammad Emtiyaz Khan, Paul Edmund Chang, Prakhar Verma, S. T. John
162		Muse: Text-To-Image Generation via Masked Generative Transformers		0		Aaron Maschinot, Dilip Krishnan, Han Zhang, Huiwen Chang, Jarred Barber, José Lezama, Kevin Patrick Murphy, Lu Jiang, Michael Rubinstein, MingHsuan Yang, William T. Freeman, Yuanzhen Li
163		On Investigating the Conservative Property of Score-Based Generative Models		0		BoWun Cheng, ChenHao Chao, ChunYi Lee, WeiFang Sun
164		Robust and private stochastic linear bandits		0		Hossein Esfandiari, Vahab Mirrokni, Vasileios Charisopoulos
165		Streaming Submodular Maximization with Differential Privacy		0		Anamay Chaturvedi, Huy L. Nguyen, Thy Dinh Nguyen
166		Why does Throwing Away Data Improve Worst-Group Error?		0		David LopezPaz, Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky
167		Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits		0		Daniel Vial, R. Srikant, Ronshee Chawla, Sanjay Shakkottai
168		Correcting discount-factor mismatch in on-policy policy gradient methods		0		A. Rupam Mahmood, Fengdi Che, Gautham Vasan
169		Fast Federated Machine Unlearning with Nonlinear Functional Theory		0		Da Yan, Dejing Dou, Ji Liu, Jun Huan, Lingjuan Lyu, Tianshi Che, Yang Zhou, Zijie Zhang
170		On the Statistical Benefits of Temporal Difference Learning		0		Daniel Russo, David Cheikhi
171		Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces		0		Zhengdao Chen
172		Beyond the Edge of Stability via Two-step Gradient Updates		0		Joan Bruna, Lei Chen
173		Trompt: Towards a Better Deep Neural Network for Tabular Data		0		HsinRung Chou, KuanYu Chen, PingHan Chiang, TienHao Chang, TingWei Chen
174		Differentially Private Stochastic Convex Optimization under a Quantile Loss Function		0		Du Chen, Geoffrey A. Chua
175		Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers		0		Alex Dimakis, Giannis Daras, Sitan Chen
176		Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation		0		Anderson Schneider, Fengpei Li, Kashif Rasul, Nicole Tianjiao Yang, Shandian Zhe, Shikai Fang, Wei Deng, Yikai Zhang, Yu Chen, Yuriy Nevmyvaka
177		ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines		0		Phillip B. Gibbons, Pratik Pramod Fegade, Siyuan Chen, Tianqi Chen, Todd C. Mowry
178		Is Learning Summary Statistics Necessary for Likelihood-free Inference?		0		Adrian Weller, Michael U. Gutmann, Yanzhi Chen
179		Subequivariant Graph Reinforcement Learning in 3D Environments		0		Fuchun Sun, Jiaqi Han, Runfa Chen, Wenbing Huang
180		GuardHFL: Privacy Guardian for Heterogeneous Federated Learning		0		Guowen Xu, Hanxiao Chen, Hongwei Li, Kangjie Chen, Meng Hao, Tianwei Zhang, Xilin Zhang
181		Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling		0		Jiaxing He, Liping Liu, Xiaohui Chen, Xu Han
182		Evolving Semantic Prototype Improves Generative Zero-Shot Learning		0		Kun Zhang, Shiming Chen, Tongliang Liu, Wenjin Hou, Xiaohan Ding, Xinge You, Yibing Song, Ziming Hong
183		Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization		0		Fengwei Zhou, Tianyang Hu, Yimeng Chen, Zhenguo Li, ZhiMing Ma
184		Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity		0		Krishna Balasubramanian, Minhui Huang, Shiqian Ma, Xuxing Chen
185		Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data		0		Kaixuan Huang, Mengdi Wang, Minshuo Chen, Tuo Zhao
186		Sample Complexity of Probability Divergences under Group Symmetry		0		Luc ReyBellet, Markos A. Katsoulakis, Wei Zhu, Ziyu Chen
187		Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions		0		Holden Lee, Hongrui Chen, Jianfeng Lu
188		Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers		0		Bo Du, Hai Zhao, Lefei Zhang, Yineng Chen, Zuchao Li
189		HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation		0		Jin Huang, Keyan Zhang, Lu Chen, Quanshi Zhang, Siyu Lou
190		Generalized Implicit Follow-The-Regularized-Leader		0		Francesco Orabona, Keyi Chen
191		Fisher Information Embedding for Node and Graph Learning		0		Dexiong Chen, Karsten M. Borgwardt, Paolo Pellizzoni
192		Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues		0		Gang Pan, Jiaxuan Chen, Yu Qi
193		Stratified Adversarial Robustness with Rejection		0		Jayaram Raghuram, Jiefeng Chen, Jihye Choi, Somesh Jha, Xi Wu, Yingyu Liang
194		Multi-task Hierarchical Adversarial Inverse Reinforcement Learning		0		Dipesh Tamboli, Jiayu Chen, Tian Lan, Vaneet Aggarwal
195		Model Transferability with Responsive Decision Subjects		0		Kun Zhang, Yang Liu, Yatong Chen, Zeyu Tang
196		Layered State Discovery for Incremental Autonomous Exploration		0		Alessandro Lazaric, Andrea Tirinzoni, Liyu Chen, Matteo Pirotta
197		Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization		0		Lijun Zhang, Peng Zhao, Sijia Chen, WeiWei Tu
198		Learning to Optimize Differentiable Games		0		Nelson Vadori, Tianlong Chen, Xuxi Chen, Zhangyang Wang
199		Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets		0		Haoran Sun, Qian Wang, Xiang Yan, Xiaotie Deng, Yurong Chen, Zhaohua Chen, Zhijian Duan
200		Semi-Offline Reinforcement Learning for Optimized Text Generation		0		Changyu Chen, Jie Cao, Li Dong, Rui Yan, Victor Ye Dong, Xiting Wang, Yi Liu, Yiqiao Jin
201		Lower Bounds for Learning in Revealing POMDPs		0		Caiming Xiong, Fan Chen, Huan Wang, Song Mei, Yu Bai
202		Implicit Neural Spatial Representations for Time-dependent PDEs		0		Changxi Zheng, Eitan Grinspun, Honglin Chen, Peter Yichen Chen, Rundi Wu
203		BEATs: Audio Pre-Training with Acoustic Tokenizers		0		Chengyi Wang, Daniel Tompkins, Furu Wei, Sanyuan Chen, Shujie Liu, Wanxiang Che, Xiangzhan Yu, Yu Wu, Zhuo Chen
204		Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model		0		Jibang Wu, Siyu Chen, Yifan Wu, Zhuoran Yang
205		Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization		0		Jing Xu, Lesi Chen, Luo Luo
206		Efficient Personalized Federated Learning via Sparse Model-Adaptation		0		Bolin Ding, Daoyuan Chen, Dawei Gao, Liuyi Yao, Yaliang Li
207		A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening		0		Jie Chen, Rentian Yao, Yifan Chen, Yun Yang
208		How to address monotonicity for model risk management?		0		Dangxing Chen, Weicheng Ye
209		Sketched Ridgeless Linear Regression: The Role of Downsampling		0		Qiang Sun, Siyue Yang, Xin Chen, Yicheng Zeng
210		Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning		0		Dingyang Chen, Qi Zhang
211		Bidirectional Learning for Offline Model-based Biological Sequence Design		0		Can Chen, Mark Coates, Xue Liu, Yingxue Zhang
212		Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling		0		Mingyuan Zhou, Tianqi Chen
213		Lifelong Language Pretraining with Distribution-Specialized Experts		0		Claire Cui, James Laudon, Nan Du, Wuyang Chen, Yanping Huang, Yanqi Zhou, Zhifeng Chen
214		Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization		0		Yi Zhou, Yingbin Liang, Zhaosong Lu, Ziyi Chen
215		Weakly Supervised Regression with Interval Targets		0		Bo An, Lei Feng, Ximing Li, Xin Cheng, Yuzhou Cao
216		PLay: Parametrically Conditioned Layout Generation using Latent Diffusion		0		ChinYi Cheng, Forrest Huang, Gang Li, Yang Li
217		Identification of the Adversary from a Single Adversarial Example		0		Haochen Sun, Minhao Cheng, PinYu Chen, Rui Min
218		Parallel Online Clustering of Bandits via Hedonic Game		0		Cheng Pan, Setareh Maghsudi, Xiaotong Cheng
219		Mu2SLAM: Multitask, Multilingual Speech and Language Models		0		Ankur Bapna, Melvin Johnson, Wolfgang Macherey, Yong Cheng, Yu Zhang
220		Understanding the Role of Feedback in Online Learning with Switching Costs		0		Bo Ji, Duo Cheng, Xingyu Zhou
221		Tighter Bounds on the Expressivity of Transformer Encoders		0		Anand Pillay, David Chiang, Peter Cholak
222		Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup		0		Chenwei Wu, Muthu Chidambaram, Rong Ge, Xiang Wang
223		Hiding Data Helps: On the Benefits of Masking for Sparse Coding		0		Chenwei Wu, Muthu Chidambaram, Rong Ge, Yu Cheng
224		PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation		0		ChoJui Hsieh, Eli Chien, HsiangFu Yu, Jiong Zhang, JyunYu Jiang, Olgica Milenkovic, WeiCheng Chang
225		Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations		0		HongMing Chiu, Richard Y. Zhang
226		Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data		0		Cheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli
227		On the Convergence of Federated Averaging with Cyclic Client Participation		0		Gauri Joshi, Pranay Sharma, Satyen Kale, Tong Zhang, Yae Jee Cho, Zheng Xu
228		GREAD: Graph Neural Reaction-Diffusion Networks		0		Jeongwhan Choi, Noseong Park, Seoyoung Hong, SungBae Cho
229		Is Overfitting Necessary for Implicit Video Representation?		0		Dokwan Oh, Hee Min Choi, Hyoa Kang
230		Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model		0		GiSoo Kim, Minhwan Oh, Myunghee Cho Paik, Wooseong Cho, YoungGeun Choi, Yunseo Choi
231		Restoration based Generative Models		0		Jaemoo Choi, Myungjoo Kang, Yesom Park
232		Concept-based Explanations for Out-of-Distribution Detectors		0		Atul Prakash, Jayaram Raghuram, Jiefeng Chen, Jihye Choi, Ryan Feng, Somesh Jha
233		Active causal structure learning with advice		0		Arnab Bhattacharyya, Davin Choo, Themistoklis Gouleakis
234		New metrics and search algorithms for weighted causal DAGs		0		Davin Choo, Kirankumar Shiragur
235		Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions		0		Alexandre H. Thiery, Andras Fulop, Jeremy Heng, Nicolas Chopin
236		Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning		0		Abhradeep Guha Thakurta, Christopher A. ChoquetteChoo, Hugh Brendan McMahan, J. Keith Rush
237		Taming graph kernels with random features		0		Krzysztof Marcin Choromanski
238		Efficient Graph Field Integrators Meet Point Clouds		0		Adrian Weller, Alvin Pan, Arijit Sehanobish, David Watkins, Deepali Jain, Eli Berger, Han Lin, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Snigdha Chaturvedi, Somnath Basu Roy Chowdhury, Tamás Sarlós, Tetiana Parshakova, Tianyi Zhang, Valerii Likhosherstov, Yunfan Zhao
239		ContraBAR: Contrastive Bayes-Adaptive Deep RL		0		Aviv Tamar, Era Choshen
240		Forget Unlearning: Towards True Data-Deletion in Machine Learning		0		Neil Shah, Rishav Chourasia
241		Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks		0		Meng Wang, Mohammed Nowaz Rabbani Chowdhury, PinYu Chen, Shuai Zhang, Sijia Liu
242		What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective		0		Rhea Chowers, Yair Weiss
243		Unifying Molecular and Textual Representations via Multi-task Language Modelling		0		Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Matteo Manica, Ole Winther, Teodoro Laino
244		Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks		0		Hong Mei, Shanghang Zhang, Wenwu Zhu, Xin Wang, Xu Chu, Yasha Wang, Yujie Jin
245		Shape-Guided Dual-Memory Learning for 3D Anomaly Detection		0		Chieh Liu, HwannTzong Chen, TingI Hsieh, TyngLuh Liu, YuMin Chu
246		Multiply Robust Off-policy Evaluation and Learning under Truncation by Death		0		Jianing Chu, Shu Yang, Wenbin Lu
247		InfoOT: Information Maximizing Optimal Transport		0		ChingYao Chuang, David AlvarezMelis, Stefanie Jegelka
248		A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations		0		Bilal Chughtai, Lawrence Chan, Neel Nanda
249		Distribution Free Prediction Sets for Node Classification		0		Jase Clarkson
250		Sequential Strategic Screening		0		Ali Vakilian, Juba Ziani, Kevin Stangl, Lee Cohen, Saeed SharifiMalvajerdi
251		Few-Sample Feature Selection via Feature Manifold Learning		0		David Cohen, Ronen Talmon, Tal Shnitzer, Yuval Kluger
252		Spatial Implicit Neural Representations for Global-Scale Species Mapping		0		Alexander Shepard, Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha, Patrick Leary, Pietro Perona, Scott Loarie
253		K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs		0		Andrea Coletta, Svitlana Vyetrenko, Tucker Balch
254		Inferring Relational Potentials in Interacting Systems		0		Armand Comas Massague, Christian Fernandez Lopez, Joshua B. Tenenbaum, Mario Sznaier, Octavia I. Camps, Sandesh Ghimire, Yilun Du
255		Task-specific experimental design for treatment effect estimation		0		Alexander Adam, Bethany Connolly, Christopher Frye, Gary Willis, Ilya Feige, Kim Moore, Tobias Schwedes
256		A Mathematical Model for Curriculum Learning for Parities		0		Elchanan Mossel, Elisabetta Cornacchia
257		Learning to Maximize Mutual Information for Dynamic Feature Selection		0		Ian Connick Covert, Mingyu Lu, Nathan J. White, Nayoon Kim, SuIn Lee, Wei Qiu
258		Rethinking Weak Supervision in Helping Contrastive Learning		0		Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
259		Bayes-optimal Learning of Deep Random Networks of Extensive-width		0		Florent Krzakala, Hugo Cui, Lenka Zdeborová
260		A General Representation Learning Framework with Generalization Performance Guarantees		0		Jianqing Liang, Jiye Liang, Junbiao Cui, Qin Yue
261		IRNeXt: Rethinking Convolutional Network Design for Image Restoration		0		Alois Knoll, Sining Yang, Wenqi Ren, Xiaochun Cao, Yuning Cui
262		Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory		0		ChoJui Hsieh, Justin Cui, Ruochen Wang, Si Si
263		Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation		0		Haichao Yu, Linjie Yang, Yiming Cui
264		Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions		0		Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
265		In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation		0		Alicia Curth, Mihaela van der Schaar
266		Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion		0		Ashok Cutkosky, Francesco Orabona, Harsh Mehta
267		Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps		0		Marco Cuturi, Michal Klein, Pierre Ablin
268		From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning		0		Aurélien Bellet, Debabrota Basu, Edwige Cyffers
269		Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning		0		Songze Li, Yanbo Dai
270		Refined Regret for Adversarial MDPs with Linear Function Approximation		0		ChenYu Wei, Haipeng Luo, Julian Zimmert, Yan Dai
271		MultiRobustBench: Benchmarking Robustness Against Multiple Attacks		0		Chong Xiang, PinYu Chen, Prateek Mittal, Saeed Mahloujifar, Sihui Dai, Vikash Sehwag
272		Moderately Distributional Exploration for Domain Generalization		0		Bo Han, Rui Dai, Xinmei Tian, Yonggang Zhang, Zhen Fang
273		Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning		0		Brett Daley, Christopher Amato, Marlos C. Machado, Martha White
274		Efficient displacement convex optimization with particle gradient descent		0		Chi Jin, Hadi Daneshmand, Jason D. Lee
275		Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation		0		Chengju Liu, Liuyi Wang, Lu Chen, Qijun Chen, Ronghao Dang, Zongtao He
276		Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data		0		Hien Dang, Hung TranThe, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen, Tho Tran Huu
277		Reinforcement Learning Can Be More Efficient with Multiple Rewards		0		Christoph Dann, Mehryar Mohri, Yishay Mansour
278		Best of Both Worlds Policy Optimization		0		ChenYu Wei, Christoph Dann, Julian Zimmert
279		Image generation with shortest path diffusion		0		Alberto Bernacchia, Anil Batra, Ayan Das, DaShan Shiu, Farhang Nabiei, Fengting Liao, Sattar Vakili, Stathi Fotiadis
280		Efficient List-Decodable Regression using Batches		0		Abhimanyu Das, Ayush Jain, Rajat Sen, Weihao Kong
281		Beyond Uniform Lipschitz Condition in Differentially Private Optimization		0		Rudrajit Das, Satyen Kale, Sujay Sanghavi, Tong Zhang, Zheng Xu
282		Understanding Self-Distillation in the Presence of Label Noise		0		Rudrajit Das, Sujay Sanghavi
283		Interval Bound Interpolation for Few-shot Learning with Few Tasks		0		Anish Chakrabarty, Sankha Subhra Mullick, Shounak Datta, Swagatam Das
284		Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information		0		Eytan Bakshy, Maximilian Balandat, Samuel Daulton
285		Fast Combinatorial Algorithms for Min Max Correlation Clustering		0		Benjamin Moseley, Heather Newman, Sami Davies
286		Predictive Flows for Faster Ford-Fulkerson		0		Benjamin Moseley, Sami Davies, Sergei Vassilvitskii, Yuyan Wang
287		The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data		0		Rubén J. SánchezGarcía, Thomas Davies, Zhengchao Wan
288		Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling		0		Anuj Karpatne, Arka Daw, Jie Bu, Paris Perdikaris, Sifan Wang
289		On the Robustness of Randomized Ensembles to Adversarial Perturbations		0		Hassan Dbouk, Naresh R. Shanbhag
290		Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute		0		Fei Sha, Joshua Ainslie, Michiel de Jong, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Yury Zemlyanskiy
291		Continuous Spatiotemporal Transformer		0		Antonio Henrique de Oliveira Fonseca, David van Dijk, Emanuele Zappala, Josue Ortega Caro
292		The Value of Out-of-Distribution Data		0		Ashwin De Silva, Carey E. Priebe, Joshua T. Vogelstein, Pratik Chaudhari, Rahul Ramesh
293		High Fidelity Image Counterfactuals with Probabilistic Causal Models		0		Ben Glocker, Fabio De Sousa Ribeiro, Miguel Monteiro, Nick Pawlowski, Tian Xia
294		Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation		0		Antoine Dedieu, Dileep George, Guangyao Zhou, Miguel LázaroGredilla
295		Learning-Rate-Free Learning by D-Adaptation		0		Aaron Defazio, Konstantin Mishchenko
296		Scaling Vision Transformers to 22 Billion Parameters		0		Alexander Kolesnikov, Alexey A. Gritsenko, Andreas Peter Steiner, Anurag Arnab, Aravindh Mahendran, Avital Oliver, Basil Mustafa, Carlos Riquelme Ruiz, Cristina Nader Vasconcelos, Daniel Keysers, Dustin Tran, Fantine Huot, Filip Pavetic, Fisher Yu, Gamaleldin Fathy Elsayed, Ibrahim Alabdulmohsin, Jasmijn Bastings, Jeremiah J. Harmsen, Joan Puigcerver, Jonathan Heek, Josip Djolonga, Justin Gilmer, Lucas Beyer, Manoj Kumar, Mario Lucic, Mark Collier, Mathilde Caron, Matthias Minderer, Michael Tschannen, Mostafa Dehghani, Neil Houlsby, Piotr Padlewski, Robert Geirhos, Rodolphe Jenatton, Sjoerd van Steenkiste, Thomas Kipf, Thomas Mensink, Utku Evci, Vighnesh Birodkar, Xiao Wang, Xiaohua Zhai, Yi Tay
297		Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration		0		Alexandre Allauzen, Alexandre Araujo, Blaise Delattre, Quentin Barthélemy
298		Blossom: an Anytime Algorithm for Computing Optimal Decision Trees		0		Emir Demirovic, Emmanuel Hebrard, Louis Jean
299		Optimizing NOTEARS Objectives via Topological Swaps		0		Bryon Aragam, Chang Deng, Kevin Bello, Pradeep Kumar Ravikumar
300		Uncertainty Estimation by Fisher Information-based Evidential Deep Learning		0		Danruo Deng, Furui Liu, Guangyong Chen, PhengAnn Heng, Yang Yu
301		Multi-channel Autobidding with Budget and ROI Constraints		0		Jason Cheuk Nam Liang, Negin Golrezaei, Patrick Jaillet, Vahab Mirrokni, Yuan Deng
302		Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks		0		Hao Lin, Shi Gu, Shikuang Deng, Yuhang Li
303		Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation		0		Liang Zheng, Stephen Gould, Weijian Deng, Yumin Suh
304		Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement		0		Ailin Deng, Bryan Hooi, Miao Xiong
305		Hyperbolic Image-text Representations		0		Justin Johnson, Karan Desai, Maximilian Nickel, Shanmukha Ramakrishna Vedantam, Tanmay Rajpurohit
306		Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing		0		Aditya Desai, Anshumali Shrivastava, Keren Zhou
307		The case for 4-bit precision: k-bit Inference Scaling Laws		0		Luke Zettlemoyer, Tim Dettmers
308		Fairness in Matching under Uncertainty		0		Aleksandra Korolova, David Kempe, Siddartha Devic, Vatsal Sharan
309		Efficient Parametric Approximations of Neural Network Function Space Distance		0		Juhan Bae, Nikita Dhawan, Roger Baker Grosse, Sicong Huang
310		A Large-Scale Study of Probabilistic Calibration in Neural Network Regression		0		Souhaib Ben Taieb, Victor Dheur
311		Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path		0		Dongruo Zhou, Jiafan He, Qiwei Di, Quanquan Gu
312		On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology		0		Federico Barbero, Francesco Di Giovanni, Giulia Luise, Lorenzo Giusti, Michael M. Bronstein, Pietro Lio
313		Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA		0		Ankit Pensia, Daniel Kane, Ilias Diakonikolas, Thanasis Pittas
314		Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals		0		Daniel Kane, Ilias Diakonikolas, Lisheng Ren
315		Improving Graph Generation by Restricting Graph Bandwidth		0		Alex M. Tseng, Gabriele Scalia, Kangway V. Chuang, Nathaniel Lee Diamant, Tommaso Biancalani
316		Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space		0		Adil Salim, Krishna Balasubramanian, Michael Ziyang Diao, Sinho Chewi
317		Subset-Based Instance Optimality in Private Estimation		0		Alex Kulesza, Ananda Theertha Suresh, Travis Dick, Ziteng Sun
318		Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models		0		François Fleuret, Nikolaos Dimitriadis, Pascal Frossard
319		Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models		0		Ding Zhao, Marco Pavone, Tong Che, Wenhao Ding
320		DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm		0		Bicheng Ying, Kexin Jin, Kun Yuan, Lisang Ding, Wotao Yin
321		Open-Vocabulary Universal Image Segmentation with MaskCLIP		0		Jieke Wang, Zheng Ding, Zhuowen Tu
322		Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning		0		Junpeng Yue, Tiejun Huang, Wanpeng Zhang, Xiangjun Wang, Ziluo Ding, Zongqing Lu
323		PixelAsParam: A Gradient View on Diffusion Sampling with Guidance		0		AnhDung Dinh, Chang Xu, Daochang Liu
324		Second-Order Optimization with Lazy Hessians		0		El Mahdi Chayti, Martin Jaggi, Nikita Doikov
325		Polynomial Preconditioning for Gradient Methods		0		Anton Rodomanov, Nikita Doikov
326		On Data Manifolds Entailed by Structural Causal Models		0		AmirHossein Karimi, Bernhard Schölkopf, Georgios Arvanitidis, Ricardo DominguezOlmedo
327		Towards Understanding and Reducing Graph Structural Noise for GNNs		0		Mingze Dong, Yuval Kluger
328		SpeedDETR: Speed-aware Transformers for End-to-end Object Detection		0		ChihHsien Chou, Hao Tang, Peiyan Dong, Peng Zhang, Xin Meng, Yanzhi Wang, Zhenglun Kong
329		Understand and Modularize Generator Optimization in ELECTRA-style Pretraining		0		Chengyu Dong, Hao Cheng, Jianfeng Gao, Jingbo Shang, Liyuan Liu, Xiaodong Liu
330		Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation		0		Bo Han, Feng Liu, Gang Niu, Haoang Chi, Masashi Sugiyama, Mingming Gong, Ruijiang Dong, Tongliang Liu
331		PASTA: Pessimistic Assortment Optimization		0		Cong Shi, Ethan X. Fang, Juncheng Dong, Vahid Tarokh, Weibin Mo, Zhengling Qi
332		Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift		0		Rachel A. Ward, Yijun Dong, Yuege Xie
333		Does Sparsity Help in Learning Misspecified Linear Bandits?		0		Jialin Dong, Lin Yang
334		Symmetry-Aware Robot Design with Structured Subgroups		0		Chongjie Zhang, Heng Dong, Junyu Zhang, Tonghan Wang
335		DoCoFL: Downlink Compression for Cross-Device Federated Learning		0		Kfir Yehuda Levy, Ron Dorfman, Shay Vargaftik, Yaniv BenItzhak
336		Meta-Learning the Inductive Bias of Simple Neural Circuits		0		Maria Yuffa, Peter E. Latham, Will Dorrell
337		Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains		0		Do Young Eun, Jie Hu, Vishwaraj Doshi
338		Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains		0		Il Memming Park, Matthew Dowling, Yuan Zhao
339		On the Convergence Rate of Gaussianization with Random Rotations		0		Armand Rousselot, Christoph Schnörr, Felix Draxler, Jens Müller, Lars Kühmichel, Ullrich Köthe
340		PaLM-E: An Embodied Multimodal Language Model		0		Aakanksha Chowdhery, Andy Zeng, Ayzaan Wahid, Brian Ichter, Corey Lynch, Daniel Duckworth, Danny Driess, Fei Xia, Igor Mordatch, Jonathan Tompson, Karol Hausman, Klaus Greff, Marc Toussaint, Mehdi S. M. Sajjadi, Pete Florence, Pierre Sermanet, Quan Vuong, Sergey Levine, Tianhe Yu, Vincent Vanhoucke, Wenlong Huang, Yevgen Chebotar
341		Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC		0		Arnaud Doucet, Conor Durkan, Jascha SohlDickstein, Joshua B. Tenenbaum, Rob Fergus, Robin Strudel, Sander Dieleman, Will Sussman Grathwohl, Yilun Du
342		Multi-task Representation Learning for Pure Exploration in Linear Bandits		0		Longbo Huang, Wen Sun, Yihan Du
343		Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows		0		Chao Du, Min Lin, Shuicheng Yan, Tianbo Li, Tianyu Pang
344		Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation		0		Arun K. Kuchibhotla, JinHong Du, Pratik Patil
345		On Uni-Modal Feature Learning in Supervised Multi-Modal Learning		0		Chenzhuang Du, Hang Zhao, Jiaye Teng, Tianyuan Yuan, Tingle Li, Yang Yuan, Yichen Liu, Yue Wang
346		Guiding Pretraining in Reinforcement Learning with Large Language Models		0		Abhishek Gupta, Cédric Colas, Jacob Andreas, Olivia Watkins, Pieter Abbeel, Trevor Darrell, Yuqing Du, Zihan Wang
347		A Flexible Diffusion Model		0		He Zhang, Tao Yang, Weitao Du, Yuanqi Du
348		Fast Excess Risk Rates via Offset Rademacher Complexity		0		Chenguang Duan, Jerry Zhijian Yang, Lican Kang, Xiliang Lu, Yuling Jiao
349		Are Diffusion Models Vulnerable to Membership Inference Attacks?		0		Fei Kong, Jinhao Duan, Kaidi Xu, Shiqi Wang, Xiaoshuang Shi
350		Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process		0		Bo Chen, Mingyuan Zhou, Xinyang Liu, Yishi Xu, Yudi Su, Zhibin Duan
351		Are Equivariant Equilibrium Approximators Beneficial?		0		Xiaotie Deng, Yunxuan Ma, Zhijian Duan
352		Evaluating Self-Supervised Learning via Risk Decomposition		0		Percy Liang, Tatsunori Hashimoto, Yann Dubois
353		Fully Dynamic Submodular Maximization over Matroids		0		Ashkan NorouziFard, Federico Fusco, Morteza Zadimoghaddam, Paul Duetting, Silvio Lattanzi
354		Optimal No-Regret Learning for One-Sided Lipschitz Functions		0		Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang, Paul Duetting
355		Integrating Prior Knowledge in Contrastive Learning with Kernel		0		Benoit Dufumier, Carlo Alberto Barbano, Edouard Duchesnay, Pietro Gori, Robin Louiset
356		Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows		0		Di Luo, Marin Soljacic, Owen M. Dugan, Peter Y. Lu, Rumen Dangovski
357		Adaptive Whitening in Neural Populations with Gain-modulating Interneurons		0		David J. Heeger, David Lipshutz, Dmitri B. Chklovskii, Eero P. Simoncelli, Lyndon R. Duong
358		Generalization Bounds using Data-Dependent Fractal Dimensions		0		Benjamin Dupuis, George Deligiannidis, Umut Simsekli
359		Multi-Objective Population Based Training		0		Alexander Chebykin, Arkadiy Dushatskiy, Peter A. N. Bosman, Tanja Alderliesten
360		Neural Diffusion Processes		0		Alan Saul, Fergus Simpson, Vincent Dutordoir, Zoubin Ghahramani
361		FAENet: Frame Averaging Equivariant GNN for Materials Modeling		0		Alex HernándezGarcía, Alexandre Duval, David Rolnick, Fragkiskos D. Malliaros, Santiago Miret, Victor Schmidt, Yoshua Bengio
362		Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces		0		Javier E. Santos, Nicholas Lubbers, Yen Ting Lin, Zachary R. Fox
363		The Computational Complexity of Concise Hypersphere Classification		0		Eduard Eiben, Iyad A. Kanj, Robert Ganian, Sebastian Ordyniak, Stefan Szeider
364		E(n) Equivariant Message Passing Simplicial Networks		0		Erik J. Bekkers, Floor Eijkelboom, Rob Hesselink
365		Performative Recommendation: Diversifying Content via Strategic Incentives		0		Itay Eilat, Nir Rosenfeld
366		Hyperparameters in Reinforcement Learning and How To Tune Them		0		Marius Lindauer, Roberta Raileanu, Theresa Eimer
367		Fairness in Streaming Submodular Maximization over a Matroid Constraint		0		Ashkan NorouziFard, Federico Fusco, Jakab Tardos, Jakub Tarnawski, Marwa El Halabi
368		Difference of submodular minimization via DC programming		0		George Orfanides, Marwa El Halabi, Tim Hoheisel
369		Graph Positional Encoding via Random Feature Propagation		0		Beatrice Bevilacqua, Eran Treister, Fabrizio Frasca, Gal Chechik, Haggai Maron, Moshe Eliasof
370		Improving Graph Neural Networks with Learnable Propagation Operators		0		Eran Treister, Lars Ruthotto, Moshe Eliasof
371		Phase Transitions in the Detection of Correlated Databases		0		Dor Elimelech, Wasim Huleihel
372		A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree		0		Vitaliy Kurlin, Yury Elkin
373		Motion Question Answering via Modular Motion Programs		0		Jiajun Wu, Jiaman Li, Joy Hsu, Mark Endo
374		Learning Perturbations to Explain Time Series Predictions		0		Joseph Enguehard
375		Regret Minimization and Convergence to Equilibria in General-sum Markov Games		0		Liad Erez, Tal Lancewicki, Tomer Koren, Uri Sherman, Yishay Mansour
376		Delayed Bandits: When Do Intermediate Observations Help?		0		Dirk van der Hoeven, Emmanuel Esposito, Hao Qiu, Nicolò CesaBianchi, Saeed Masoudian, Yevgeny Seldin
377		Scaling Spherical CNNs		0		Ameesh Makadia, Carlos Esteves, JeanJacques E. Slotine
378		Stochastic Gradient Descent under Markovian Sampling Schemes		0		Mathieu Even
379		Continual Learning in Linear Classification on Separable Data		0		Badea Marjieh, Daniel Soudry, Edward Moroshko, Gon Buzaglo, Itay Evron, Maroun Khriesh, Nathan Srebro
380		A Connection between One-Step RL and Critic Regularization in Reinforcement Learning		0		Benjamin Eysenbach, Matthieu Geist, Ruslan Salakhutdinov, Sergey Levine
381		Neural Status Registers		0		Lukas Faber, Roger Wattenhofer
382		Learning Rate Schedules in the Presence of Distribution Shift		0		Adel Javanmard, Matthew Fahrbach, Pratik Worah, Vahab Mirrokni
383		Predicting Rare Events by Shrinking Towards Proportional Odds		0		Gregory Faletto, Jacob Bien
384		Free-Form Variational Inference for Gaussian Process State-Space Models		0		Edwin V. Bonilla, Scott A. Sisson, Terence J. O'Kane, Xuhui Fan
385		Optimizing DDPM Sampling with Shortcut Fine-Tuning		0		Kangwook Lee, Ying Fan
386		LSDS++ : Dual Sampling for Accelerated k-means++		0		Chenglin Fan, Ping Li, Xiaoyun Li
387		Smart Initial Basis Selection for Linear Programs		0		Abdullah Ali Sivas, Oleksandr Yakovenko, Owen Ren, Xinglu Wang, Yong Zhang, Zhenan Fan, Zirui Zhou
388		General Covariance Data Augmentation for Neural PDE Solvers		0		Alexander Rudikov, Ivan V. Oseledets, Tianchi Yu, Vladimir Fanaskov
389		The Fast Johnson-Lindenstrauss Transform Is Even Faster		0		Kasper Green Larsen, Mikael Møller Høgsgaard, Ora Nova Fandina
390		Regression with Label Permutation in Generalized Linear Model		0		Guanhua Fang, Ping Li
391		Robust Collaborative Learning with Linear Gradient Overhead		0		John Stephan, LêNguyên Hoang, Nirupam Gupta, Rachid Guerraoui, Rafael Pinot, Sadegh Farhadkhani
392		Neural FIM for learning Fisher information metrics from point cloud data		0		Alexander Tong, Guillaume Huguet, Guy Wolf, Ian Adelstein, Maximilian Nickel, Oluwadamilola Fasina, Smita Krishnaswamy, Yanlei Zhang
393		Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies		0		Anas Barakat, Anastasia Kireeva, Ilyas Fatkhullin, Niao He
394		Parallel Neurosymbolic Integration with Concordia		0		Efthymia Tsamoura, Jonathan Feldstein, Modestas Jurcius
395		Why Target Networks Stabilise Temporal Difference Methods		0		Matthew J. A. Smith, Mattie Fellows, Shimon Whiteson
396		Weighted Sampling without Replacement for Deep Top-k Classification		0		Bart Selman, Carla P. Gomes, Dieqiao Feng, Yuanqi Du
397		Improved Online Learning Algorithms for CTR Prediction in Ad Auctions		0		Christopher Liaw, Zhe Feng, Zixin Zhou
398		Fractional Denoising for 3D Molecular Pre-training		0		Shikun Feng, WeiYing Ma, Yanyan Lan, Yuyan Ni, ZhiMing Ma
399		Improved Algorithms for White-Box Adversarial Streams		0		David P. Woodruff, Ying Feng
400		Non-stationary Reinforcement Learning under General Function Approximation		0		Jing Yang, Ming Yin, Ruiquan Huang, Songtao Feng, Yingbin Liang, YuXiang Wang
401		Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption		0		Aladin Virmaux, Malik Tiomoko, Vasilii Feofanov
402		SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems		0		Aaron M. Ferber, Benoit Steiner, Bistra Dilkina, Daochen Zha, Martin Schubert, Taoan Huang, Yuandong Tian
403		Scaling Laws for Multilingual Neural Machine Translation		0		Behrooz Ghorbani, Markus Freitag, Orhan Firat, Patrick Fernandes, Xavier Garcia
404		Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation		0		Hendrik Fichtenberger, Jalaj Upadhyay, Monika Henzinger
405		Adapting to game trees in zero-sum imperfect information games		0		Côme Fiegel, Michal Valko, Pierre Ménard, Rémi Munos, Tadashi Kozuno, Vianney Perchet
406		User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems		0		Andrew Gordon Wilson, Anudhyan Boral, Fei Sha, Leonardo ZepedaNúñez, Marc Anton Finzi
407		ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging		0		Alessandro Fontanella, Amos J. Storkey, Antreas Antoniou, Emanuele Trucco, Grant Mair, Joanna M. Wardlaw, Wenwen Li
408		Explainable Data-Driven Optimization: From Context to Decision and Back Again		0		Alexandre Forel, Axel Parmentier, Thibaut Vidal
409		Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games		0		Dylan J. Foster, Noah Golowich, Sham M. Kakade
410		Disentangled Generative Models for Robust Prediction of System Dynamics		0		Anil Anthony Bharath, Chris D. Cantwell, Mario Lino Valencia, Shunlong Hu, Stathi Fotiadis, Stef Garasto
411		Can Forward Gradient Match Backpropagation?		0		Edouard Oyallon, Eugene Belilovsky, Louis Fournier, Michael Eickenberg, Stéphane Rivaud
412		Last Switch Dependent Bandits with Monotone Payoff Functions		0		Assaf Zeevi, Ayoub Foussoul, Orestis Papadigenopoulos, Vineet Goyal
413		A Theoretical Analysis of the Learning Dynamics under Class Imbalance		0		Aurélien Lucchi, Emanuele Francazi, Marco BaityJesi
414		SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot		0		Dan Alistarh, Elias Frantar
415		Learning Temporally AbstractWorld Models without Online Experimentation		0		Benjamin Freed, Guillaume Adrien Sartoretti, Howie Choset, Jeff Schneider, Siddarth Venkatraman
416		A Coupled Flow Approach to Imitation Learning		0		Elad Sarafian, Gideon Joseph Freund, Sarit Kraus
417		Simple Hardware-Efficient Long Convolutions for Sequence Modeling		0		Armin W. Thomas, Atri Rudra, Christopher Ré, Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Michael Zhang, Tri Dao
418		MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses		0		Ishan Misra, Xiaolong Wang, Yang Fu
419		Go Beyond Imagination: Maximizing Episodic Reachability with World Models		0		Honglak Lee, Run Peng, Yao Fu
420		Specializing Smaller Language Models towards Multi-Step Reasoning		0		Ashish Sabharwal, Hao Peng, Litu Ou, Tushar Khot, Yao Fu
421		Accelerated Stochastic Optimization Methods under Quasar-convexity		0		Ashia Camage Wilson, Dongchu Xu, Qiang Fu
422		Meta-learning Parameterized Skills		0		George Konidaris, Haotian Fu, Michael Littman, Saket Tiwari, Shangqun Yu
423		NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations		0		Shang Wu, Shunyao Zhang, Souvik Kundu, Ye Yuan, Yingyan Celine Lin, Yonggan Fu
424		Hierarchies of Reward Machines		0		Alessandra Russo, Anders Jonsson, Daniel FurelosBlanco, Krysia Broda, Mark Law
425		Why Random Pruning Is All We Need to Start Sparse		0		Advait Harshal Gadhikar, Rebekka Burkholz, Sohom Mukherjee
426		Cell-Free Latent Go-Explore		0		Emmanuel Dellandréa, Quentin Gallouédec
427		Graph Reinforcement Learning for Network Control via Bi-Level Optimization		0		Daniele Gammelli, Filipe Rodrigues, Francisco C. Pereira, James Harrison, Kaidi Yang, Marco Pavone
428		Why Is Public Pretraining Necessary for Private Model Training?		0		Abhradeep Guha Thakurta, Arun Ganesh, Lun Wang, Mahdi Haghifam, Milad Nasr, Om Thakkar, Sewoong Oh, Thomas Steinke
429		Do Perceptually Aligned Gradients Imply Robustness?		0		Bahjat Kawar, Michael Elad, Roy Ganz
430		Solving Linear Programs with Fast Online Learning Algorithms		0		Chunlin Sun, Dongdong Ge, Wenzhi Gao, Yinyu Ye
431		Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks		0		Michael Ng, Yihang Gao, Yiqi Gu
432		Generalizing Neural Wave Functions		0		Nicholas Gao, Stephan Günnemann
433		On the Impact of Algorithmic Recourse on Social Segregation		0		Himabindu Lakkaraju, Ruijiang Gao
434		DDGR: Continual Learning with Deep Diffusion-based Generative Replay		0		Rui Gao, Weiwei Liu
435		PAL: Program-aided Language Models		0		Aman Madaan, Graham Neubig, Jamie Callan, Luyu Gao, Pengfei Liu, Shuyan Zhou, Uri Alon, Yiming Yang
436		Out-of-Domain Robustness via Targeted Augmentations		0		Irena Gao, Pang Wei Koh, Percy Liang, Shiori Sagawa, Tatsunori Hashimoto
437		Scaling Laws for Reward Model Overoptimization		0		Jacob Hilton, John Schulman, Leo Gao
438		The Unreasonable Effectiveness of Few-shot Learning for Machine Translation		0		Colin Cherry, George F. Foster, Maxim Krikun, Melvin Johnson, Orhan Firat, Xavier Garcia, Yamini Bansal
439		RLSbench: Domain Adaptation Under Relaxed Label Shift		0		Alex Smola, James Sharpnack, Nick Erickson, Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton
440		RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank		0		Laurent Najman, Quentin Garrido, Randall Balestriero, Yann LeCun
441		Self-supervised learning of Split Invariant Equivariant representations		0		Laurent Najman, Quentin Garrido, Yann LeCun
442		Federated Heavy Hitter Recovery under Linear Sketching		0		Adrià Gascón, Ananda Theertha Suresh, Peter Kairouz, Ziteng Sun
443		On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization		0		Mridul Agarwal, Mudit Gaur, Vaneet Aggarwal
444		A Reinforcement Learning Framework for Dynamic Mediation Analysis		0		Chengchun Shi, Jitao Wang, Lin Ge, Rui Song, Zhenke Wu
445		Compositional Score Modeling for Simulation-Based Inference		0		Andriy Mnih, George Papamakarios, Tomas Geffner
446		Cramming: Training a Language Model on a single GPU in one day		0		Jonas Geiping, Tom Goldstein
447		Transformers Meet Directed Graphs		0		Ali Taylan Cemgil, Cosmin Paduraru, Daniel J. Mankowitz, Simon Geisler, Stephan Günnemann, Yujia Li
448		Memory-Based Meta-Learning on Non-Stationary Distributions		0		Anian Ruoss, Elliot Catt, Grégoire Delétang, Joel Veness, Jordi GrauMoya, Laurent Orseau, Li Kevin Wenliang, Marcus Hutter, Tim Genewein, Vincent Dutordoir
449		Towards Reliable Neural Specifications		0		Arie Gurfinkel, Chuqin Geng, Nham Le, Xiaojie Xu, Xujie Si, Zhaoyue Wang
450		Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning		0		David C. Parkes, Matthias Gerstgrasser
451		Approximately Optimal Core Shapes for Tensor Decompositions		0		Gang Fu, Matthew Fahrbach, Mehrdad Ghadiri, Vahab Mirrokni
452		GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks		0		Jingfeng Zhang, Masashi Sugiyama, Maxime Cordy, Mike Papadakis, Salah Ghamizi, Yves Le Traon
453		On User-Level Private Convex Optimization		0		Badih Ghazi, Chiyuan Zhang, Pasin Manurangsi, Pritish Kamath, Raghu Meka, Ravi Kumar
454		Contextual Reliability: When Different Features Matter in Different Contexts		0		Aditi Raghunathan, Amrith Setlur, Anca D. Dragan, Daniel S. Brown, Gaurav Rohit Ghosal
455		Reinforcement Learning from Passive Data via Latent Intentions		0		Chethan Anand Bhateja, Dibya Ghosh, Sergey Levine
456		Harmonic Neural Networks		0		Antonio Andrea Gentile, Atiyo Ghosh, Chul Lee, Dongho Kim, Hyukgeun Cha, JeongIl Kye, Mario Dagrada, SeongHyok Sean Kim, Vincent Emanuel Elfving, Yunjun Choi
457		Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat		0		Forough Arabshahi, Kayhan Batmanghelich, Ke Yu, Shantanu Ghosh
458		Looped Transformers as Programmable Computers		0		Angeliki Giannou, Dimitris Papailiopoulos, Jason D. Lee, Jyyong Sohn, Kangwook Lee, Shashank Rajput
459		Generalized Disparate Impact for Configurable Fairness Solutions in ML		0		Eleonora Misino, Luca Giuliani, Michele Lombardi
460		Multicalibration as Boosting for Regression		0		Aaron Roth, Declan Harrison, Ira GlobusHarris, Jessica Sorrell, Michael Kearns
461		Adversarial robustness of amortized Bayesian inference		0		Jakob H. Macke, Manuel Glöckler, Michael Deistler
462		Efficient RL via Disentangled Environment and Agent Representations		0		Deepak Pathak, Kevin Gmelin, Russell Mendonca, Shikhar Bahl
463		Aligning Language Models with Preferences through f-divergence Minimization		0		Dongyoung Go, Germán Kruszewski, Jos Rozen, Marc Dymetman, Nahyeon Ryu, Tomasz Korbak
464		Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues		0		Clément Calauzènes, Ekhine Irurozki, Morgane Goibert, Stéphan Clémençon
465		Learning Distributions over Quantum Measurement Outcomes		0		Scott Aaronson, Weiyuan Gong
466		Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity		0		Adrien B. Taylor, Eduard Gorbunov, Gauthier Gidel, Samuel Horváth
467		Adaptive Annealed Importance Sampling with Constant Rate Progress		0		Fernando PérezCruz, Shirin Goshtasbpour, Victor Cohen
468		Formalizing Preferences Over Runtime Distributions		0		Devon R. Graham, Kevin LeytonBrown, Tim Roughgarden
469		Topological Point Cloud Clustering		0		Michael T. Schaub, Vincent Peter Grande
470		On Sampling with Approximate Transport Maps		0		Alain Oliviero Durmus, Eric Moulines, Louis Grenioux, Marylou Gabrié
471		Hidden Symmetries of ReLU Networks		0		David Rolnick, J. Elisenda Grigsby, Kathryn Lindsey
472		EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression		0		Alexander Tyurin, Kaja Gruntkowska, Peter Richtárik
473		NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion		0		Alex Trevithick, Christian Theobalt, Jiatao Gu, Joshua M. Susskind, KaiEn Lin, Lingjie Liu, Ravi Ramamoorthi
474		DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design		0		Jian Peng, Jianzhu Ma, Jiaqi Guan, Liang Wang, Qiang Liu, Quanquan Gu, Xiangxin Zhou, Yu Bao, Yuwei Yang
475		On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances		0		Aritra Guha, Nhat Ho, XuanLong Nguyen
476		Conformalization of Sparse Generalized Linear Models		0		Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo
477		Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design		0		Chuan Guo, Kamalika Chaudhuri, Michael G. Rabbat, Pierre Stock
478		Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships		0		Kai Guo, Tieru Wu, Xiaofeng Cao, Yaming Guo, Yi Chang
479		FeDXL: Provable Federated Learning for Deep X-Risk Optimization		0		Jiebo Luo, Rong Jin, Tianbao Yang, Zhishuai Guo
480		Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP		0		Huazheng Wang, Jiacheng Guo, Mengdi Wang, Xuezhou Zhang, Zhuoran Yang, Zihao Li
481		Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano		0		Alexandre Sablayrolles, Chuan Guo, Maziar Sanjabi
482		Linkless Link Prediction via Relational Distillation		0		Neil Shah, Nitesh V. Chawla, Shichang Zhang, Tong Zhao, William Shiao, Yozen Liu, Zhichun Guo
483		FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction		0		Tao Lin, Xiaoying Tang, Yongxin Guo
484		Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction		0		Adithya Balachandran, Jie Chen, Minghao Guo, Payel Das, Samuel W. Song, Veronika Thost, Wojciech Matusik
485		Graph Neural Networks with Learnable and Optimal Polynomial Bases		0		Yuhe Guo, Zhewei Wei
486		LongCoder: A Long-Range Pre-trained Language Model for Code Completion		0		Canwen Xu, Daya Guo, Jian Yin, Julian J. McAuley, Nan Duan
487		Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms		0		Jianmin Wang, Mingsheng Long, Xingzhuo Guo, Yuchen Zhang
488		Identifying Useful Learnwares for Heterogeneous Label Spaces		0		LanZhe Guo, Yufeng Li, Zhi Zhou, ZhiHua Zhou
489		High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors		0		Eric Price, Jasper C. H. Lee, Shivam Gupta
490		GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets		0		Sahil Manchanda, Sayan Ranu, Shubham Gupta, Srikanta J. Bedathur
491		Online Platt Scaling with Calibeating		0		Aaditya Ramdas, Chirag Gupta
492		Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal		0		Bahram Zonooz, Elahe Arani, NareshKumar Gurulingan
493		Conditionally Strongly Log-Concave Generative Models		0		Etienne Lempereur, Florentin Guth, Joan Bruna, Stéphane Mallat
494		DRew: Dynamically Rewired Message Passing with Delay		0		Benjamin Gutteridge, Francesco Di Giovanni, Michael M. Bronstein, Xiaowen Dong
495		Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network		0		Lionel Fillatre, Marie Guyomard, Susana Barbosa
496		Conformal Prediction Sets for Graph Neural Networks		0		Aleksandar Bojchevski, Simone Antonelli, Soroush H. Zargarbashi
497		Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning		0		Hawoong Jeong, Seungwoong Ha
498		Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction		0		Daniel Haider, Martin Ehler, Péter Balázs
499		Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees		0		Daniele Magazzeni, Erfaun Noorani, Faisal Hamman, Sanghamitra Dutta, Saumitra Mishra
500		Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition		0		Boran Han
501		On the Impact of Knowledge Distillation for Model Interpretability		0		Hyeongrok Han, HyunSoo Choi, Siwon Kim, Sungroh Yoon
502		Alternately Optimized Graph Neural Networks		0		Feng Shi, Haitao Mao, Haoyu Han, Jiliang Tang, MohamadAli Torkamani, Victor Lee, Xiaorui Liu
503		System Identification of Neural Systems: If We Got It Right, Would We Know?		0		Brian Cheung, Tomaso A. Poggio, Yena Han
504		Total Variation Graph Neural Networks		0		Filippo Maria Bianchi, Jonas Berg Hansen
505		Learning Physical Models that Can Respect Conservation Laws		0		Danielle C. Maddix, Derek Hansen, Gaurav Gupta, Michael W. Mahoney, Shima Alizadeh
506		On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline		0		Aravind Rajeswaran, Hao Su, Huazhe Xu, Nicklas Hansen, Tongzhou Mu, Xiaolong Wang, Yanjie Ze, Zhecheng Yuan
507		Leveraging Demonstrations to Improve Online Learning: Quality Matters		0		Benjamin Van Roy, Botao Hao, Rahul Jain, Tor Lattimore, Zheng Wen
508		Coupled Variational Autoencoder		0		Patrick Shafto, Xiaoran Hao
509		GNOT: A General Neural Operator Transformer for Operator Learning		0		Chengyang Ying, Hang Su, Jian Song, Jun Zhu, Songming Liu, Yinpeng Dong, Ze Cheng, Zhengyi Wang, Zhongkai Hao
510		Algorithmic Collective Action in Machine Learning		0		Celestine MendlerDünner, Eric Mazumdar, Moritz Hardt, Tijana Zrnic
511		Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients		0		Bogdan Raita, Marc Härkönen, Markus LangeHegermann
512		Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting		0		Bernie Wang, Danielle C. Maddix, Gaurav Gupta, Hilaf Hasson, Youngsuk Park
513		Global Context Vision Transformers		0		Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Jan Kautz, Pavlo Molchanov
514		Counterfactual Analysis in Dynamic Latent State Models		0		Martin B. Haugh, Raghav Singal
515		Sampling-based Nyström Approximation and Kernel Quadrature		0		Harald Oberhauser, Satoshi Hayakawa, Terry J. Lyons
516		Width and Depth Limits Commute in Residual Networks		0		Greg Yang, Soufiane Hayou
517		A Generalization of ViT/MLP-Mixer to Graphs		0		Adam Perold, Bryan Hooi, Thomas Laurent, Xavier Bresson, Xiaoxin He, Yann LeCun
518		Domain Adaptation for Time Series Under Feature and Label Shifts		0		Consuelo Cuevas, Huan He, Marinka Zitnik, Owen Queen, Teddy Koker, Theodoros Tsiligkaridis
519		Contrastive Learning Meets Homophily: Two Birds with One Stone		0		Di Jin, Dongxiao He, Jitao Zhao, Rui Guo, Weixiong Zhang, Yuxiao Huang, Zhen Wang, Zhiyong Feng
520		Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes		0		Dongruo Zhou, Heyang Zhao, Jiafan He, Quanquan Gu
521		CRISP: Curriculum based Sequential neural decoders for Polar code family		0		Ashok Vardhan Makkuva, Pramod Viswanath, S. Ashwin Hebbar, Sewoong Oh, Suma Bhat, Viraj Vivek Nadkarni
522		Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting		0		Daniel Ting, Graham Cormode, Jonathan Hehir
523		Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification		0		Corinna Weber, Florian Heinrichs, Mavin Heim
524		Distance Weighted Supervised Learning for Offline Interaction Data		0		Dorsa Sadigh, Jensen Gao, Joey Hejna
525		Group Equivariant Fourier Neural Operators for Partial Differential Equations		0		Cong Fu, Jacob Helwig, Jerry Kurtin, Shuiwang Ji, Stephan Wojtowytsch, Xuan Zhang
526		Training-Free Neural Active Learning with Initialization-Robustness Guarantees		0		Apivich Hemachandra, Bryan Kian Hsiang Low, Jasraj Singh, SeeKiong Ng, Zhongxiang Dai
527		A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs		0		Mikael Henaff, Minqi Jiang, Roberta Raileanu
528		Robust Camera Pose Refinement for Multi-Resolution Hash Encoding		0		Hwan Heo, Hyunwoo J. Kim, Jaewon Lee, JinHwa Kim, Jiyoung Lee, Soohyun Kim, Taekyung Kim
529		Generalized Teacher Forcing for Learning Chaotic Dynamics		0		Daniel Durstewitz, Florian Hess, Manuel Brenner, Zahra Monfared
530		Causal Modeling of Policy Interventions From Treatment-Outcome Sequences		0		Anne Tuulikki Juuti, Caglar Hizli, Kirsi Hannele Pietiläinen, Pekka Marttinen, S. T. John, Tuure Tapani Saarinen
531		Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes		0		Christopher van der Heide, Fred Roosta, Liam Hodgkinson, Michael W. Mahoney
532		AdaBoost is not an Optimal Weak to Strong Learner		0		Kasper Green Larsen, Martin Ritzert, Mikael Møller Høgsgaard
533		Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons		0		Christopher Zach, D. Staudt, Rasmus Kjær Høier
534		Multi-Task Off-Policy Learning from Bandit Feedback		0		Branislav Kveton, Joey Hong, Manzil Zaheer, Mohammad Ghavamzadeh, Sumeet Katariya
535		Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching		0		Ilgee Hong, Michael W. Mahoney, Mladen Kolar, Sen Na
536		Revisiting Data-Free Knowledge Distillation with Poisoned Teachers		0		Jiayu Zhou, Junyuan Hong, Lingjuan Lyu, Ruoxi Jia, Shuyang Yu, Yi Zeng
537		simple diffusion: End-to-end diffusion for high resolution images		0		Emiel Hoogeboom, Jonathan Heek, Tim Salimans
538		Causal Strategic Classification: A Tale of Two Shifts		0		Guy Horowitz, Nir Rosenfeld
539		Fair and Accurate Decision Making through Group-Aware Learning		0		Bhanu Garg, Li Zhang, Pengtao Xie, Ramtin Hosseini
540		Approximation Algorithms for Fair Range Clustering		0		Ali Vakilian, Sepideh Mahabadi, Sèdjro Salomon Hotegni
541		Decoding Layer Saliency in Language Transformers		0		Elizabeth Mary Hou, Gregory David Castañón
542		PromptBoosting: Black-Box Text Classification with Ten Forward Passes		0		Bairu Hou, Jacob Andreas, Joe O'Connor, Shiyu Chang, Yang Zhang
543		Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach		0		Boya Hou, Nathan Dahlin, Sina Sanjari, Subhonmesh Bose, Umesh Vaidya
544		Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits		0		Vincent Y. F. Tan, Yunlong Hou, Zixin Zhong
545		Automatic Data Augmentation via Invariance-Constrained Learning		0		Alejandro Ribeiro, Ignacio Hounie, Luiz F. O. Chamon
546		Thompson Sampling with Diffusion Generative Prior		0		Branislav Kveton, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, YuGuan Hsieh
547		Tighter Analysis for ProxSkip		0		Heng Huang, Zhengmian Hu
548		Omnipredictors for Constrained Optimization		0		Chutong Yang, Inbal Rachel Livni Navon, Lunjia Hu, Omer Reingold
549		GFlowNet-EM for Learning Compositional Latent Variable Models		0		Alexandros Graikos, Edward J. Hu, Katie E. Everett, Moksh Jain, Nikolay Malkin, Yoshua Bengio
550		Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization		0		Lijun Zhang, Quanqi Hu, Tianbao Yang, Zhishuai Guo, ZiHao Qiu
551		Language Instructed Reinforcement Learning for Human-AI Coordination		0		Dorsa Sadigh, Hengyuan Hu
552		Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction		0		Alexander G. Schwing, Raymond A. Yeh, YuanTing Hu
553		Learning to Learn from APIs: Black-Box Data-Free Meta-Learning		0		Baoyuan Wu, Chun Yuan, Dacheng Tao, Li Shen, Zhenyi Wang, Zixuan Hu
554		For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal		0		Li Erran Li, Renhao Wang, Yang Gao, Yingdong Hu
555		Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization		0		Heng Huang, Xidong Wu, Zhengmian Hu
556		Understanding the Impact of Adversarial Robustness on Accuracy Disparity		0		Fan Wu, Han Zhao, Hongyang Zhang, Yuzheng Hu
557		Reinforcement Learning in Low-rank MDPs with Density Features		0		Audrey Huang, Jinglin Chen, Nan Jiang
558		Composer: Creative and Controllable Image Synthesis with Composable Conditions		0		Deli Zhao, Di Chen, Jingren Zhou, Lianghua Huang, Yu Liu, Yujun Shen
559		Model-Aware Contrastive Learning: Towards Escaping the Dilemmas		0		Bo Wang, Chao Zhang, Chunlin Chen, Haoxing Chen, Huaxiong Li, Ziqi Wen, Zizheng Huang
560		High-dimensional Clustering onto Hamiltonian Cycle		0		Shenghui Cheng, Stan Z. Li, Tianyi Huang, Zhengjun Zhang
561		Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning		0		Jiatai Huang, Longbo Huang, Yan Dai
562		Fast Algorithms for Distributed k-Clustering with Outliers		0		Jianxin Wang, Jinhui Xu, Junyu Huang, Qilong Feng, Ziyun Huang
563		Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning		0		Aaron M. Ferber, Benoit Steiner, Bistra Dilkina, Taoan Huang, Yuandong Tian
564		On Coresets for Clustering in Small Dimensional Euclidean spaces		0		Lingxiao Huang, Ruiyuan Huang, Xuan Wu, Zengfeng Huang
565		Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models		0		Dongchao Yang, Jiawei Huang, Jinglin Liu, Luping Liu, Mingze Li, Rongjie Huang, Xiang Yin, Yi Ren, Zhenhui Ye, Zhou Zhao
566		The Power of Uniform Sampling for k-Median		0		Jianing Lou, Lingxiao Huang, Shaofeng H.C. Jiang
567		Reparameterized Policy Learning for Multimodal Trajectory Optimization		0		Chuang Gan, Hao Su, Litian Liang, Xuanlin Li, Zhan Ling, Zhiao Huang
568		Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming		0		C. Seshadhri, David F. Gleich, Yufan Huang
569		NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition		0		Jia Zhang, Qi Meng, TieYan Liu, Wenlei Shi, Xiaotian Gao, Xinquan Huang, Yue Wang
570		Policy Contrastive Imitation Learning		0		Jialei Huang, Yang Gao, Yingdong Hu, ZhaoHeng Yin
571		Are Large Kernels Better Teachers than Transformers for ConvNets?		0		Li Shen, Lu Yin, Meng Fang, Mykola Pechenizkiy, Shiwei Liu, Tianjin Huang, Zhangyang Wang, Zhenyu Zhang
572		Achieving Linear Speedup in Non-IID Federated Bilevel Learning		0		Dewei Zhang, Kaiyi Ji, Minhui Huang
573		Federated Linear Contextual Bandits with User-level Differential Privacy		0		Huanyu Zhang, Jing Yang, Luca Melis, Meisam Hejazinia, Milan Shen, Ruiquan Huang
574		Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks		0		Brian Cheung, Minyoung Huh, Phillip Isola, Pulkit Agrawal
575		Cut your Losses with Squentropy		0		Like Hui, Mikhail Belkin, Stephen Wright
576		SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series		0		Arthur Andreas Nijdam, Iris A. M. Huijben, Merel M. van Gilst, Ruud van Sloun, Sebastiaan Overeem
577		One-Shot Federated Conformal Prediction		0		Aurélien Bellet, Batiste Le Bars, Pierre Humbert, Sylvain Arlot
578		The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics		0		Aamal Abbas Hussain, Dario Paccagnan, Francesco Belardinelli
579		Combinatorial Neural Bandits		0		Kyuwook Chai, Minhwan Oh, Taehyun Hwang
580		MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action		0		Geonho Hwang, Hyunsoo Cho, Jaewoong Choi, Myungjoo Kang
581		Information-Theoretic State Space Model for Multi-View Reinforcement Learning		0		GeonHyeong Kim, HyeongJoo Hwang, KeeEung Kim, Seokin Seo, Seunghoon Hong, Sungyoon Kim, Youngsoo Jang
582		Under-Counted Tensor Completion with Neural Incorporation of Attributes		0		Eugene Seo, Rebecca A. Hutchinson, Shahana Ibrahim, Xiao Fu
583		On the Identifiability and Estimation of Causal Location-Scale Noise Models		0		Alexander Immer, Alexander Marx, Bernhard Schölkopf, Christoph Schultheiss, Julia E. Vogt, Peter Bühlmann
584		Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels		0		Alexander Immer, Bernhard Schölkopf, Gunnar Rätsch, Mark van der Wilk, Tycho F. A. van der Ouderaa
585		Differentially Private Hierarchical Clustering with Provable Approximation Guarantees		0		Alessandro Epasto, Jacob Imola, Mohammad Mahdian, Vahab Mirrokni, Vincent CohenAddad
586		Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods		0		Avi Ziv, Brian Irwin, Eldad Haber, Raviv Gal
587		Principled Offline RL in the Presence of Rich Exogenous Information		0		Alex Lamb, Aniket Rajiv Didolkar, Dipendra Misra, Harm van Seijen, Hongyu Zang, John Langford, Manan Tomar, Remi Tachet des Combes, Riashat Islam, Xin Li, Yonathan Efroni
588		Unveiling the Latent Space Geometry of Push-Forward Generative Models		0		David Picard, Jérémie Mary, Thibaut Issenhuth, Ugo Tanielian
589		CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design		0		Adam Foster, Cheng Zhang, Desi R. Ivanova, Joel Jennings, Tom Rainforth
590		DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule		0		Maor Ivgi, Oliver Hinder, Yair Carmon
591		Maximal Initial Learning Rates in Deep ReLU Networks		0		Boris Hanin, David Rolnick, Gaurav Iyer
592		Data-Driven Subgroup Identification for Linear Regression		0		James Zou, Ruishan Liu, Zachary Izzo
593		Efficient Training of Language Models using Few-Shot Learning		0		Sanjiv Kumar, Sashank J. Reddi, Satyen Kale, Seungyeon Kim, Shankar Krishnan, Sobhan Miryoosefi, Stefani Karp
594		Scalable Adaptive Computation for Iterative Generation		0		Allan Jabri, David J. Fleet, Ting Chen
595		Unconstrained Online Learning with Unbounded Losses		0		Andrew Jacobsen, Ashok Cutkosky
596		Multi-Objective GFlowNets		0		Alex HernándezGarcía, Emmanuel Bengio, Jarrid RectorBrooks, Moksh Jain, Santiago Miret, Sharath Chandra Raparthy, Yoshua Bengio
597		The Price of Differential Privacy under Continual Observation		0		Adam D. Smith, Palak Jain, Satchit Sivakumar, Sofya Raskhodnikova
598		Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication		0		Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
599		Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models		0		Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
600		Exploring the Benefits of Training Expert Language Models over Instruction Tuning		0		Doyoung Kim, Joel Jang, Kyungjae Lee, Lajanugen Logeswaran, Minjoon Seo, Moontae Lee, Seonghyeon Ye, Seungone Kim
601		Learning to Boost Training by Periodic Nowcasting Near Future Weights		0		ByungOk Han, Jaehong Kim, Jaeyeon Lee, Jinhyeok Jang, Won Hwa Kim, Woohan Yun, Youngwoo Yoon
602		Unscented Autoencoder		0		Faris Janjos, J. Marius Zoellner, Lars Rosenbaum, Maxim Dolgov
603		Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments		0		Corentin Tallec, Daniel Jarrett, Florent Altché, Michal Valko, Rémi Munos, Thomas Mesnard
604		BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning		0		Bahram Zonooz, Elahe Arani, Kishaan Jeeveswaran, Prashant Shivaram Bhat
605		Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing		0		Hye Won Chung, Hyeonsu Jeong
606		Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks		0		Feng Ji, Hanyang Meng, Jielong Yang, Kai Zhao, See Hian Lee, Wee Peng Tay
607		Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions		0		JieJing Shao, LanZhe Guo, LinHan Jia, Yufeng Li, Yuke Xiang, Zhi Zhou
608		Short-lived High-volume Bandits		0		Andrew A. Li, Ian Anderson, Nishant Oli, Paul Duff, R. Ravi, Su Jia
609		Smooth Non-stationary Bandits		0		Nathan Kallus, Peter I. Frazier, Qian Xie, Su Jia
610		A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates		0		Bin Gu, Giulia De Masi, Haiyan Jiang, Huan Xiong, Srinivas Anumasa
611		VIMA: Robot Manipulation with Multimodal Prompts		0		Agrim Gupta, Anima Anandkumar, Guanzhi Wang, Li FeiFei, Linxi Fan, Yanjun Chen, Yongqiang Dou, Yuke Zhu, Yunfan Jiang, Zichen Zhang
612		Estimating Causal Effects using a Multi-task Deep Ensemble		0		David E. Carlson, Keyu Li, Yiling Liu, Yiman Ren, Zhuoran Hou, Ziyang Jiang
613		Online Restless Bandits with Unobserved States		0		Bo Jiang, Bowen Jiang, Chenghu Zhou, Jian Li, Tao Lin, Xinbing Wang
614		Detecting Out-of-distribution Data through In-distribution Class Prior		0		Bo Han, Feng Liu, Feng Zheng, Hong Chen, Tongliang Liu, Xue Jiang, Zhen Fang
615		Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks		0		Chen Liu, Mathieu Salzmann, Sabine Süsstrunk, Yulun Jiang, Zhichao Huang
616		Learning Unnormalized Statistical Models via Compositional Optimization		0		Changyou Chen, Jiayu Qin, Lijun Zhang, Lingyu Wu, Tianbao Yang, Wei Jiang
617		Approximate Causal Effect Identification under Weak Confounding		0		Lai Wei, Murat Kocaoglu, Ziwei Jiang
618		MEWL: Few-shot multimodal word learning with referential uncertainty		0		Chi Zhang, Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yixin Zhu, Yujia Peng
619		NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes		0		Chenbo Jiang, Jie Yang, Lin Gao, Shwai He, YuKun Lai
620		Effective Structured Prompting by Meta-Learning and Representative Verbalizer		0		James T. Kwok, Weisen Jiang, Yu Zhang
621		Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing		0		Jason D. Lee, Jikai Jin, Kaifeng Lyu, Simon Shaolei Du, Zhiyuan Li
622		Thompson Sampling with Less Exploration is Fast and Optimal		0		Pan Xu, Tianyuan Jin, Xianglin Yang, Xiaokui Xiao
623		R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents		0		Christian Walder, Daniel D. Johnson, Daniel Tarlow
624		Automatically Auditing Large Language Models via Discrete Optimization		0		Aditi Raghunathan, Anca D. Dragan, Erik Jones, Jacob Steinhardt
625		On the Expressive Power of Geometric Graph Neural Networks		0		Chaitanya K. Joshi, Cristian Bodnar, Pietro Lio, Simon V. Mathis, Taco Cohen
626		Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least		0		Baharan Mirzasoleiman, Siddharth Joshi
627		Robust Subtask Learning for Compositional Generalization		0		Kishor Jothimurugan, Osbert Bastani, Rajeev Alur, Steve Hsu
628		On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization		0		Amir Joudaki, Francis R. Bach, Hadi Daneshmand
629		FARE: Provably Fair Representation Learning with Practical Certificates		0		Dimitar Iliev Dimitrov, Martin T. Vechev, Mislav Balunovic, Nikola Jovanovic
630		Scaling of Class-wise Training Losses for Post-hoc Calibration		0		Jongwon Choi, Seungjin Jung, Seungmo Seo, Yonghyun Jeong
631		Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation		0		Eunho Yang, Hajin Shim, June Yong Yang, Yeonsung Jung
632		Estimating Joint Treatment Effects by Combining Multiple Experiments		0		Elias Bareinboim, Jin Tian, Yonghan Jung
633		The Catalog Problem: Clustering and Ordering Variable-Sized Sets		0		Graham W. Taylor, Leon Derczynski, Mateusz Maria Jurewicz
634		Equivariance with Learned Canonicalization Functions		0		Arnab Kumar Mondal, Siamak Ravanbakhsh, SékouOumar Kaba, Yan Zhang, Yoshua Bengio
635		Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies		0		Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami
636		Statistical Indistinguishability of Learning Algorithms		0		Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Shay Moran
637		Identifying Interpretable Subspaces in Image Representations		0		C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Neha Mukund Kalibhat, Shweta Bhardwaj, Soheil Feizi
638		Nonlinear Causal Discovery with Latent Confounders		0		David Kaltenpoth, Jilles Vreeken
639		Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search		0		Guillaume Lample, Marco Virgolin, PierreAlexandre Kamienny, Sylvain Lamprier
640		One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training		0		Hiroshi Takahashi, Kentaro Ohno, Masanori Yamada, Sekitoshi Kanai, Shin'ya Yamaguchi, Yasutoshi Ida
641		Large Language Models Struggle to Learn Long-Tail Knowledge		0		Adam Roberts, Colin Raffel, Eric Wallace, Haikang Deng, Nikhil Kandpal
642		Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models		0		Anisha Mascarenhas, Brian Lester, Colin Raffel, Haokun Liu, Mohammed Muqeeth, Monty Evans, Nikhil Kandpal, Tenghao Huang, Vishal Baskaran
643		A Deep Conjugate Direction Method for Iteratively Solving Linear Systems		0		Ayano Kaneda, David Hyde, Jingyu Chen, Joseph Teran, Osman Akar, Victoria Alicia Trevino Kala
644		Leveraging Proxy of Training Data for Test-Time Adaptation		0		Donghyeon Kwon, Jungseul Ok, Juwon Kang, Nayeong Kim, Suha Kwak
645		Beyond Reward: Offline Preference-guided Policy Optimization		0		Diyuan Shi, Donglin Wang, Jinxin Liu, Li He, Yachen Kang
646		Poisoning Generative Replay in Continual Learning to Promote Forgetting		0		Siteng Kang, Xinhua Zhang, Zhan Shi
647		Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks		0		Kai Zhao, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yang Song
648		Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias		0		Kazuki Osawa, Ryo Karakida, Tomohiro Hayase, Tomoumi Takase
649		Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning		0		Amin Karbasi, Nikki Lijing Kuang, Siddharth Mitra, YiAn Ma
650		On the Relationship Between Explanation and Prediction: A Causal View		0		AmirHossein Karimi, Been Kim, Bernhard Schölkopf, Krikamol Muandet, Simon Kornblith
651		Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis		0		Chuan Guo, G. Edward Suh, HsienHsin S. Lee, Kiwan Maeng, Moinuddin K. Qureshi, Sanjay Kariyappa, Wenjie Xiong
652		General Sequential Episodic Memory Model		0		Arjun Karuvally, Hava T. Siegelmann, Terrence J. Sejnowski
653		Regression with Sensor Data Containing Incomplete Observations		0		Takayuki Katsuki, Takayuki Osogami
654		Data Representations' Study of Latent Image Manifolds		0		Ilya Kaufman, Omri Azencot
655		Multi-Modal Classifiers for Open-Vocabulary Object Detection		0		Andrew Zisserman, Prannay Kaul, Weidi Xie
656		Learning Mixtures of Markov Chains and MDPs		0		Ambuj Tewari, Chinmaya Kausik, Kevin Tan
657		Curious Replay for Model-based Adaptation		0		Chris Doyle, Isaac Kauvar, Linqi Zhou, Nick Haber
658		How Does Information Bottleneck Help Deep Learning?		0		Jiaoyang Huang, Kenji Kawaguchi, Xu Ji, Zhun Deng
659		Instrumental Variable Estimation of Average Partial Causal Effects		0		Jin Tian, Manabu Kuroki, Yuta Kawakami
660		The Test of Tests: A Framework for Differentially Private Hypothesis Testing		0		Adam Groce, Andrew P. Bray, Kaiyan Shi, Zeki Kazan
661		Exact Inference in High-order Structured Prediction		0		Chuyang Ke, Jean Honorio
662		Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks		0		Max Welling, T. Anderson Keller
663		Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions		0		Benjamin F. Grewe, Bernhard Schölkopf, Hamza Keurti, HsiaoRu Pan, Michel Besserve
664		Rethinking Backdoor Attacks		0		Alaa Khaddaj, Aleksandar Makelov, Aleksander Madry, Andrew Ilyas, Guillaume Leclerc, Hadi Salman, Kristian Georgiev
665		PAC Prediction Sets for Large Language Models of Code		0		Adam Khakhar, Osbert Bastani, Stephen Mell
666		Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems		0		Digvijay Boob, Mohammad Khalafi
667		Loss Balancing for Fair Supervised Learning		0		Mahed Abroshan, Mohammad Mahdi Khalili, Xueru Zhang
668		Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach		0		Ioannis C. Tsaknakis, Jia Liu, Jiawei Zhang, Mingyi Hong, Prashant Khanduri, Sijia Liu, Yihua Zhang
669		Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions		0		Mahyar Khayatkhoei, Wael AbdAlmageed
670		Learning-augmented private algorithms for multiple quantile release		0		Kareem Amin, Mikhail Khodak, Sergei Vassilvitskii, Travis Dick
671		CrossSplit: Mitigating Label Noise Memorization through Data Splitting		0		Aristide Baratin, Jihye Kim, Simon LacosteJulien, Yan Zhang
672		Trainability, Expressivity and Interpretability in Gated Neural ODEs		0		Kamesh Krishnamurthy, Tankut Can, Timothy Doyeon Kim
673		SAAL: Sharpness-Aware Active Learning		0		Byeonghu Na, IlChul Moon, JoonHo Jang, Kyungwoo Song, Wanmo Kang, Yeongmin Kim, YoonYeong Kim, Youngjae Cho
674		Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum		0		Daesol Cho, H. Jin Kim, Jigang Kim
675		Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback		0		Assaf Zeevi, Garud Iyengar, Wonyoung Kim
676		Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming		0		Deokjae Lee, Hyun Oh Song, Jinuk Kim, Yeonwoo Jeong
677		Probabilistic Concept Bottleneck Models		0		Dahuin Jung, Eunji Kim, Sangha Park, Siwon Kim, Sungroh Yoon
678		DevFormer: A Symmetric Transformer for Context-Aware Device Placement		0		Federico Berto, Haeyeon Kim, Jinkyoo Park, Joungho Kim, Minsu Kim
679		Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models		0		Dongjun Kim, IlChul Moon, Se Jung Kwon, Wanmo Kang, Yeongmin Kim
680		Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning		0		Christopher G. Brinton, David J. Love, Junghoon Kim, Taejoon Kim
681		LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework		0		Jeonghye Kim, Woojun Kim, Youngchul Sung
682		BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models		0		ByungGon Chun, GyeongIn Yu, Hyoungjoo Kim, Taebum Kim
683		Probabilistic Imputation for Time-series Classification with Missing Data		0		Eunggu Yun, Hwangrae Lee, Hyunsu Kim, Jaehun Lee, Juho Lee, Seunghyun Kim
684		Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills		0		Jaesik Choi, Kyowoon Lee, Seongun Kim
685		Margin-based Neural Network Watermarking		0		Byungjoo Kim, Seanie Lee, Sooel Son, Sung Ju Hwang, Suyoung Lee
686		Regularizing Towards Soft Equivariance Under Mixed Symmetries		0		Hongseok Yang, Hyungi Lee, Hyunsu Kim, Juho Lee
687		Model-based Offline Reinforcement Learning with Count-based Conservatism		0		Byeongchan Kim, Minhwan Oh
688		Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization		0		Chanyeong Kim, Hyunglip Bae, Jongwoong Park, Woo Chang Kim
689		SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes		0		Hanseok Jeong, Jeongseon Kim, Junetae Kim, Kyoungsuk Park, SunYoung Kim, Youngwook Kim
690		Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning		0		Chunghyun Park, Jaesik Park, Minsu Cho, Seungwook Kim, Yoonwoo Jeong
691		Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning		0		Dongyeop Kang, Jaehyung Kim, Jinwoo Shin
692		An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning		0		Woojun Kim, Youngchul Sung
693		Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference		0		Jacob R. Gardner, Jisu Oh, Kaiwen Wu, Kyurae Kim
694		Learnability and Algorithm for Continual Learning		0		Bing Liu, Changnan Xiao, Gyuhak Kim, Tatsuya Konishi
695		Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions		0		Insoon Yang, Jungbin Kim
696		Denoising MCMC for Accelerating Diffusion-Based Generative Models		0		Beomsu Kim, Jong Chul Ye
697		Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs		0		Dale Kim, Qing Zhou
698		Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning		0		José R. Zubizarreta, Kwangho Kim
699		Proper Losses for Discrete Generative Models		0		Bo Waggoner, Dhamma Kimpara, Rafael M. Frongillo
700		Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network		0		Kenji Fukumizu, Kenta Oono, Shinichi Maeda, Yuichi Yoshida, Yuri Kinoshita
701		A Watermark for Large Language Models		0		Ian Miers, John Kirchenbauer, Jonas Geiping, Jonathan Katz, Tom Goldstein, Yuxin Wen
702		Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs		0		Enkelejda Kasneci, Michael Kirchhof, Seong Joon Oh
703		Training Normalizing Flows from Dependent Data		0		Christoph Lippert, Marius Kloft, Matthias Kirchler
704		IncDSI: Incrementally Updatable Document Retrieval		0		Chao Wan, Justin Lovelace, Kilian Q. Weinberger, Varsha Kishore, Yoav Artzi
705		Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice		0		Csaba Szepesvári, Jincheng Mei, Matthieu Geist, Michal Valko, Mohammad Gheshlaghi Azar, Nino Vieillard, Olivier Pietquin, Pierre Ménard, Rémi Munos, Tadashi Kozuno, Toshinori Kitamura, Wataru Kumagai, Wenhao Yang, Yunhao Tang, Yutaka Matsuo
706		Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions		0		Charlotte M. Deane, Garrett M. Morris, Leo Klarner, Michael Reutlinger, Tim G. J. Rudner, Torsten Schindler, Yee Whye Teh
707		Deep Laplacian-based Options for Temporally-Extended Exploration		0		Marlos C. Machado, Martin Klissarov
708		Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost		0		John P. Dickerson, Marina Knittel, Max Springer, MohammadTaghi Hajiaghayi
709		Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?		0		Boris Knyazev, Doha Hwang, Simon LacosteJulien
710		Online Learning with Feedback Graphs: The True Shape of Regret		0		Alexandra Carpentier, Tomás Kocák
711		Grounding Language Models to Images for Multimodal Inputs and Outputs		0		Daniel Fried, Jing Yu Koh, Ruslan Salakhutdinov
712		Rigid Body Flows for Sampling Molecular Crystal Structures		0		Frank Noé, Jonas Köhler, Michele Invernizzi, Pim de Haan
713		Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets		0		Fabian Raoul Pieroth, Martin Bichler, Nils Kohring
714		Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees		0		Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich
715		On Computing Optimal Tree Ensembles		0		Christian Komusiewicz, Frank Sommer, Manuel Sorge, Pascal Kunz
716		GOAT: A Global Transformer on Large-scale Graphs		0		C. Bayan Bruss, Jiuhai Chen, John Kirchenbauer, Kezhi Kong, Renkun Ni, Tom Goldstein
717		Autoregressive Diffusion Model for Graph Generation		0		B. Aditya Prakash, Chao Zhang, Haotian Sun, Jiaming Cui, Lingkai Kong, Yuchen Zhuang
718		End-to-End Full-Atom Antibody Design		0		Wenbing Huang, Xiangzhe Kong, Yang Liu
719		Covariate balancing using the integral probability metric for causal inference		0		Insung Kong, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim, Yuha Park
720		Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference		0		Dongyoon Yang, Gyuseung Baek, Ilsang Ohn, Insung Kong, Jongjin Lee, Yongdai Kim
721		Parameter-Level Soft-Masking for Continual Learning		0		Bing Liu, Chihiro Ono, Gyuhak Kim, Mori Kurokawa, Tatsuya Konishi, Zixuan Ke
722		Pretraining Language Models with Human Preferences		0		Angelica Chen, Christopher L. Buckley, Ethan Perez, Jason Phang, Kejian Shi, Rasika Vinayak Bhalerao, Samuel R. Bowman, Tomasz Korbak
723		Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions		0		Ezgi Korkmaz, Jonah BrownCohen
724		Ewald-based Long-Range Message Passing for Molecular Graphs		0		Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann
725		TabDDPM: Modelling Tabular Data with Diffusion Models		0		Akim Kotelnikov, Artem Babenko, Dmitry Baranchuk, Ivan Rubachev
726		Randomized Schur Complement Views for Graph Contrastive Learning		0		Vignesh Kothapalli
727		Benign Overfitting in Two-layer ReLU Convolutional Neural Networks		0		Quanquan Gu, Yiwen Kou, Yuanzhou Chen, Zixiang Chen
728		Variational Mixture of HyperGenerators for Learning Distributions over Functions		0		Batuhan Koyuncu, Ignacio Peis, Isabel Valera, Pablo M. Olmos, Pablo SánchezMartín
729		Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond		0		Daniel Soudry, Itai Kreisler, Mor Shpigel Nacson, Yair Carmon
730		Estimation Beyond Data Reweighting: Kernel Method of Moments		0		Bernhard Schölkopf, Heiner Kremer, JiaJie Zhu, Yassine Nemmour
731		Multi-Task Differential Privacy Under Distribution Skew		0		Abhradeep Guha Thakurta, Li Zhang, Mukund Sundararajan, Prateek Jain, Shuang Song, Walid Krichene
732		Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten		0		Himabindu Lakkaraju, Jiaqi Ma, Satyapriya Krishna
733		Graph Neural Tangent Kernel: Convergence on Large Graphs		0		Luana Ruiz, Sanjukta Krishnagopal
734		Diffusion Models for Black-Box Optimization		0		Aditya Grover, Satvik Mehul Mashkaria, Siddarth Krishnamoorthy
735		Learning to Design Analog Circuits to Meet Threshold Specifications		0		Dmitrii Krylov, Hamidreza Aghasi, Hiba Ajmal, Junhan Ouyang, Pooya Khajeh, Roy Fox, Thomas Reeves, Tongkai Liu
736		Variance Control for Distributional Reinforcement Learning		0		Fan Zhou, Liwen Zhang, Qi Kuang, Zhoufan Zhu
737		Hierarchical Imitation Learning with Vector Quantized Models		0		Alexander Ilin, Joni Pajarinen, Kalle Kujanpää
738		SinDDM: A Single Image Denoising Diffusion Model		0		Matan Kleiner, Shahar Yadin, Tomer Michaeli, Vladimir Kulikov
739		Towards Explaining Distribution Shifts		0		David I. Inouye, Sean Kulinski
740		Featured Graph Coarsening with Similarity Guarantees		0		Anurag Sharma, Manoj Kumar, Sandeep Kumar, Shashwat Saxena
741		Modeling Dynamic Environments with Scene Graph Memory		0		Andrey Kurenkov, Chengshu Li, Emily Jin, Jiajun Wu, Li FeiFei, Michael Lingelbach, Roberto MartínMartín, Ruohan Zhang, Silvio Savarese, Tanmay Agarwal
742		Tied-Augment: Controlling Representation Similarity Improves Data Augmentation		0		Ekin Dogus Cubuk, Emirhan Kurtulus, Yann N. Dauphin, Zichao Li
743		Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders		0		Alexandra Hotti, Jens Lagergren, Oskar Kviman, Ricky Molén, Semih Kurt, Víctor Elvira
744		GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency		0		Jiuhn Song, Minseop Kwak, Seungryong Kim
745		Rotation and Translation Invariant Representation Learning with Implicit Neural Representations		0		Ernest K. Ryu, Joo Young Choi, Sehyun Kwon
746		Reward-Mixing MDPs with Few Latent Contexts are Learnable		0		Constantine Caramanis, Jeongyeol Kwon, Shie Mannor, Yonathan Efroni
747		A Fully First-Order Method for Stochastic Bilevel Optimization		0		Dohyun Kwon, Jeongyeol Kwon, Robert D. Nowak, Stephen Wright
748		Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning		0		Dohyun Kwon, Hanbaek Lyu
749		Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value		0		James Zou, Yongchan Kwon
750		Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning		0		Aqeel Labash, Daniel Majoral, Florian Stelzer, Raul Vicente Zafra
751		Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning		0		Divyat Mahajan, Ioannis Mitliagkas, Quentin Bertrand, Simon LacosteJulien, Sébastien Lachapelle, Tristan Deleu, Yoshua Bengio
752		Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs		0		BogdanAdrian Manghiuc, He Sun, Steinar Laenen
753		Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection		0		Clément Rambour, Elias Ramzi, Marc Lafon, Nicolas Thome
754		A theory of continuous generative flow networks		0		Alex HernándezGarcía, Alexandra Volokhova, Dinghuai Zhang, Léna Néhale Ezzine, Nikolay Malkin, Pablo Lemos, Salem Lahlou, Tristan Deleu, Yoshua Bengio
755		Automatically marginalized MCMC in probabilistic programming		0		Daniel Sheldon, Hui Guan, Javier Burroni, Jinlin Lai
756		DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation		0		Chengxi Li, Daniel Fried, Luke Zettlemoyer, Ruiqi Zhong, Sida I. Wang, Tao Yu, Tianyi Zhang, WenTau Yih, Yiming Wang, Yuhang Lai
757		ChiPFormer: Transferable Chip Placement via Offline Decision Transformer		0		Bin Wang, Jianye Hao, Jinxin Liu, Ping Luo, Yao Lai, Zhentao Tang
758		FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation		0		ChiehHsin Lai, Naoki Murata, Stefano Ermon, Toshimitsu Uesaka, Yuhta Takida, Yuki Mitsufuji
759		Private Statistical Estimation of Many Quantiles		0		Aurélien Garivier, Clément Lalanne, Rémi Gribonval
760		Bootstrap in High Dimension with Low Computation		0		Henry Lam, Zhenyuan Liu
761		LegendreTron: Uprising Proper Multiclass Loss Learning		0		Christian J. Walder, Kevin H. Lam, Richard Nock, Spiridon I. Penev
762		Metagenomic Binning using Connectivity-constrained Variational Autoencoders		0		Alessandro Tibo, Andre Lamurias, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen
763		Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback		0		Aviv Rosenberg, Dmitry Sotnikov, Tal Lancewicki
764		Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability		0		Henning Sprekeler, Robert Tjarko Lange
765		On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs		0		Remi Tachet des Combes, Romain Laroche
766		Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints		0		Alexander Lindermayr, Alexandra Anna Lassota, Jens Schlöter, Nicole Megow
767		Speeding Up Bellman Ford via Minimum Violation Permutations		0		Ola Svensson, Sergei Vassilvitskii, Silvio Lattanzi
768		Who Needs to Know? Minimal Knowledge for Optimal Coordination		0		Ameesh Shah, Micah Carroll, Michael D. Dennis, Niklas Lauffer, Stuart Russell
769		Target-based Surrogates for Stochastic Optimization		0		Jonathan Wilder Lavington, Mark Schmidt, Nicolas Le Roux, Reza Babanezhad Harikandeh, Sharan Vaswani
770		Cluster Explanation via Polyhedral Descriptions		0		Connor Lawless, Oktay Günlük
771		Pre-training for Speech Translation: CTC Meets Optimal Transport		0		Benjamin Lecouteux, Changhan Wang, Didier Schwab, Hongyu Gong, Juan Pino, PhuongHang Le
772		Bootstrapped Representations in Reinforcement Learning		0		Anna Harutyunyan, Charline Le Lan, Marc G. Bellemare, Mark Rowland, Rishabh Agarwal, Stephen Tu, Will Dabney
773		Strategic Classification with Unknown User Manipulations		0		Ruth Urner, Shai BenDavid, Tosca Lechner
774		Learning in POMDPs is Sample-Efficient with Hindsight Observability		0		Alekh Agarwal, Christoph Dann, Jonathan Lee, Tong Zhang
775		Towards Deep Attention in Graph Neural Networks: Problems and Remedies		0		Fanchen Bu, Jaemin Yoo, Kijung Shin, Soo Yong Lee
776		InGram: Inductive Knowledge Graph Embedding via Relation Graphs		0		Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang
777		Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits		0		ChaoKai Chiang, Jongyeong Lee, Junya Honda, Masashi Sugiyama
778		Conditional Graph Information Bottleneck for Molecular Relational Learning		0		Chanyoung Park, Dongmin Hyun, Gyoung S. Na, Junseok Lee, Namkyeong Lee, Sungwon Kim
779		Exploring Chemical Space with Score-based Out-of-distribution Generation		0		Jaehyeong Jo, Seul Lee, Sung Ju Hwang
780		Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding		0		Fangyu Liu, Hexiang Hu, Iulia Raluca Turc, Julian Martin Eisenschlos, Kenton Lee, Kristina Toutanova, Mandar Joshi, MingWei Chang, Peter Shaw, Urvashi Khandelwal
781		FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization		0		Dongsoo Lee, Jeonghoon Kim, Jung Hyun Lee, Se Jung Kwon
782		CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis		0		Chaejeong Lee, Jayoung Kim, Noseong Park
783		Minimizing Trajectory Curvature of ODE-based Generative Models		0		Beomsu Kim, Jong Chul Ye, Sangyun Lee
784		H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features		0		Hangbin Lee, Youngjo Lee
785		On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning		0		Byungkun Lee, Dongyoon Hwang, Hojoon Lee, Hyunho Lee, Jaegul Choo, Koanho Lee
786		HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption		0		Garam Lee, Junbum Shin, Jung Woo Kim, MunKyu Lee, Seewoo Lee
787		QASA: Advanced Question Answering on Scientific Articles		0		Dasol Hwang, HongIn Lee, Jaehyeon Kim, Kyungjae Lee, Moontae Lee, Sunghyun Park, Yoonjoo Lee
788		Demystifying Disagreement-on-the-Line in High Dimensions		0		Behrad Moniri, Donghwan Lee, Edgar Dobriban, Hamed Hassani, Xinmeng Huang
789		On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters		0		Alex Aiken, Sejun Park, Wonyeol Lee
790		Implicit Jacobian regularization weighted with impurity of probability output		0		Jaewook Lee, Jinseong Park, Sungyoon Lee
791		Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments		0		SangHyun Lee, SeungWoo Seo
792		Generalization Analysis for Contrastive Representation Learning		0		DingXuan Zhou, Tianbao Yang, Yiming Ying, Yunwen Lei
793		Learning Control by Iterative Inversion		0		Aviv Tamar, Gal Leibovich, Gal Novik, Guy Jacob, Or Avner
794		Sampling-Based Accuracy Testing of Posterior Estimators for General Inference		0		Adam Coogan, Laurence Perreault Levasseur, Pablo Lemos, Yashar Hezaveh
795		Fast Inference from Transformers via Speculative Decoding		0		Matan Kalman, Yaniv Leviathan, Yossi Matias
796		Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation		0		Alon Cohen, Asaf B. Cassel, Orin Levy, Yishay Mansour
797		GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations		0		Dan Ley, Daniele Magazzeni, Saumitra Mishra
798		TIPS: Topologically Important Path Sampling for Anytime Neural Networks		0		Guihong Li, Kartikeya Bhardwaj, Radu Marculescu, Yuedong Yang
799		MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations		0		Anqi Li, Byron Boots, ChingAn Cheng
800		Internet Explorer: Targeted Representation Learning on the Open Web		0		Alexander Cong Li, Alexei A. Efros, Deepak Pathak, Ellis Langham Brown
801		Prototype-oriented unsupervised anomaly detection for multivariate time series		0		Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou, Wenchao Chen, Yuxin Li
802		Learning Preconditioners for Conjugate Gradient PDE Solvers		0		Peter Yichen Chen, Tao Du, Wojciech Matusik, Yichen Li
803		Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation		0		Anurag Ajay, Pulkit Agrawal, Tao Chen, Zechu Li, ZhangWei Hong
804		Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation		0		Guanghua Ji, Li'ang Li, Yifei Duan, Yongqiang Cai
805		FAIRER: Fairness as Decision Rationale Alignment		0		Aishan Liu, Mengnan Du, Qing Guo, Tianlin Li, Yang Liu, Zhiming Li
806		RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution		0		Hongyao Tang, Jianye Hao, Pengyi Li, Xian Fu, Yan Zheng
807		Adversarial Collaborative Learning on Non-IID Features		0		Bingsheng He, Dawn Song, Qinbin Li
808		Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints		0		Cong Shen, Donghao Li, Jing Yang, Ruiquan Huang
809		Transformers as Algorithms: Generalization and Stability in In-context Learning		0		Dimitris Papailiopoulos, Muhammed Emrullah Ildiz, Samet Oymak, Yingcong Li
810		Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models		0		Arno Solin, Rui Li, S. T. John
811		Local Vertex Colouring Graph Neural Networks		0		Dongwoo Kim, Qing Wang, Shouheng Li
812		Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation		0		Ping Li, Xiaoyun Li
813		How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding		0		Andrej Risteski, Yuanzhi Li, Yuchen Li
814		BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models		0		Dongxu Li, Junnan Li, Silvio Savarese, Steven C. H. Hoi
815		Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression		0		Junfan Li, Shizhong Liao
816		Revisiting Weighted Aggregation in Federated Learning with Neural Networks		0		Chao Wu, Tao Lin, Xinyi Shang, Zexi Li
817		Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction		0		Shaojie Li, Yong Liu
818		Optimal Convergence Rates for Agnostic Nyström Kernel Learning		0		Jian Li, Weiping Wang, Yong Liu
819		Reconstructive Neuron Pruning for Backdoor Defense		0		Bo Li, Lingjuan Lyu, Nodens Koren, Xingjun Ma, Xixiang Lyu, Yige Li, YuGang Jiang
820		Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks		0		Akil Narayan, Conor Tillinghast, Michael Penwarden, Mike Kirby, Shandian Zhe, Shibo Li, Yiming Xu
821		Deep Anomaly Detection under Labeling Budget Constraints		0		Aodong Li, Chen Qiu, Maja Rudolph, Marius Kloft, Padhraic Smyth, Stephan Mandt
822		On the Initialization of Graph Neural Networks		0		David Wipf, Jiahang Li, Xiang Song, Yakun Song
823		Federated Adversarial Learning: A Framework with Convergence Analysis		0		Jiaming Yang, Xiaoxiao Li, Zhao Song
824		How Powerful are Shallow Neural Networks with Bandlimited Random Weights?		0		Feilong Cao, Jiye Liang, Ming Li, Sho Sonoda, Yu Guang Wang
825		Efficient Quantum Algorithms for Quantum Optimal Control		0		Chunhao Wang, Xiantao Li
826		Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling		0		Lin Yang, Yiran Wang, Yu Cheng, Yunfan Li
827		Hierarchical Diffusion for Offline Decision Making		0		Bo Jin, Hongyuan Zha, Wenhao Li, Xiangfeng Wang
828		Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions		0		Alessandro Rinaldo, Daren Wang, Wanshan Li
829		Architecture-Agnostic Masked Image Modeling - From ViT back to CNN		0		Di Wu, Fang Wu, Siyuan Li, Stan Z. Li, Zelin Zang
830		Learning Antidote Data to Individual Unfairness		0		Ethan Xia, Hongfu Liu, Peizhao Li
831		Propensity Matters: Measuring and Enhancing Balancing for Recommendation		0		Chunyuan Zheng, Haoxuan Li, Peng Cui, Peng Wu, Yanghao Xiao
832		GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks		0		Bryan Hooi, Miao Xiong, Yuwen Li
833		SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process		0		Chao Zhang, Haoming Jiang, Hongyuan Zha, Simiao Zuo, Tuo Zhao, Yanbo Xu, Zichong Li
834		Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds		0		Lin Yang, Shengshi Li
835		Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving		0		Weixin Li, Xiaodong Yang
836		Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees		0		Jianyi Yang, Pengfei Li, Shaolei Ren
837		FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models		0		Duanyi Yao, Jin Liu, Songze Li
838		Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints		0		Boyi Liu, Jiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang
839		LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation		0		Chen Liang, Pengcheng He, Qingru Zhang, Tuo Zhao, Weizhu Chen, Yifan Yu, Yixiao Li
840		Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization		0		Chris Junchi Li, Gauthier Gidel, Huizhuo Yuan, Michael I. Jordan, Quanquan Gu
841		Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations		0		Cesar F. Caiafa, Chao Li, Chunmei Li, Junhua Zeng, Qibin Zhao
842		Understanding the Complexity Gains of Single-Task RL with a Curriculum		0		Qiyang Li, Sergey Levine, Yi Ma, Yuexiang Zhai
843		Does a Neural Network Really Encode Symbolic Concepts?		0		Mingjie Li, Quanshi Zhang
844		Cooperative Open-ended Learning Framework for Zero-Shot Coordination		0		Jichen Sun, Shao Zhang, Wei Pan, Xinbing Wang, Yali Du, Yang Li, Ying Wen
845		Offline Reinforcement Learning with Closed-Form Policy Improvement Operators		0		Edwin Zhang, Jiachen Li, Ming Yin, Qinxun Bai, William Yang Wang, YuXiang Wang
846		Optimal Arms Identification with Knapsacks		0		Lan Zhang, Shaoang Li, Xiangyang Li, Yingqi Yu
847		Internally Rewarded Reinforcement Learning		0		Cornelius Weber, Jae Hee Lee, Mengdi Li, Stefan Wermter, Xufeng Zhao
848		Trustworthy Policy Learning under the Counterfactual No-Harm Criterion		0		Chunyuan Zheng, Haoxuan Li, Peng Wu, Yixiao Cao, Yue Liu, Zhi Geng
849		Structured Cooperative Learning with Graphical Model Priors		0		Dacheng Tao, Shuangtong Li, Tianyi Zhou, Xinmei Tian
850		Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set		0		Enming Liang, Minghua Chen, Steven H. Low
851		Consistency of Multiple Kernel Clustering		0		Chuan Ma, En Zhu, Weixuan Liang, Xinwang Liu, Yong Liu, Yunping Zhao, Zhe Liu
852		A Distribution Optimization Framework for Confidence Bounds of Risk Measures		0		Hao Liang, ZhiQuan Luo
853		Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations		0		James Zou, Weixin Liang, Xinyu Yang, Yining Mao, Yongchan Kwon
854		AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners		0		Fei Ni, Masayoshi Tomizuka, Mingyu Ding, Ping Luo, Yao Mu, Zhixuan Liang
855		Learning Compiler Pass Orders using Coreset and Normalized Value Prediction		0		Ali Shameli, Benoit Steiner, Chris Cummins, Hugh James Leather, Jiadong Guo, Kevin Stone, Mostafa Elhoushi, Pengtao Xie, Xiaomeng Yang, Youwei Liang, Yuandong Tian
856		Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples		0		Chumeng Liang, Haibing Guan, Jiaru Zhang, Ruhui Ma, Tao Song, Xiaoyu Wu, Yang Hua, Yiming Xue, Zhengui Xue
857		CLUSTSEG: Clustering for Universal Segmentation		0		Dongfang Liu, James Chenhao Liang, Tianfei Zhou, Wenguan Wang
858		Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping		0		Matteo Sesia, Yanfei Zhou, Ziyi Liang
859		Less is More: Task-aware Layer-wise Distillation for Language Model Compression		0		Chen Liang, Pengcheng He, Qingru Zhang, Simiao Zuo, Tuo Zhao, Weizhu Chen
860		Statistical Inference and A/B Testing for First-Price Pacing Equilibria		0		Christian Kroer, Luofeng Liao
861		Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization		0		Brian Kulis, Christopher Liao, Theodoros Tsiligkaridis
862		Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization		0		PingChun Hsieh, YuShuen Wang, YunHsuan Lien
863		Variational Open-Domain Question Answering		0		Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther, Valentin Liévin
864		Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds		0		Mohammed AlQuraishi, Yeqing Lin
865		Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning		0		Gal Mishne, Ronald R. Coifman, Ronen Talmon, YaWei Eileen Lin
866		Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning		0		Frank Nielsen, Mark Schmidt, Melvin Leok, Mohammad Emtiyaz Khan, Valentin Duruisseaux, Wu Lin
867		Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise		0		Chen Lin, Nan Duan, Tong Wu, Weizhu Chen, Yelong Shen, Yeyun Gong, Zhenghao Lin, Zhihao Fan
868		Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations		0		Chenhang He, ManWai Mak, Weiwei Lin, Youzhi Tu
869		Theory on Forgetting and Generalization of Continual Learning		0		Ness B. Shroff, Peizhong Ju, Sen Lin, Yingbin Liang
870		Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization		0		Chaobing Song, Cheuk Yin Lin, Jelena Diakonikolas
871		Safe Offline Reinforcement Learning with Real-Time Budget Constraints		0		Bo Tang, Chao Yu, Dong Wang, Qian Lin, Qianlong Xie, Shangqin Mao, Xingxing Wang, Zifan Wu
872		Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models		0		Alexander Lin, Bahareh Tolooshams, Demba E. Ba, Yves F. Atchadé
873		Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control		0		Cao Xiao, Jimeng Sun, Shubhendu Trivedi, Zhen Lin
874		Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features		0		Chieh Hubert Lin, HsinYing Lee, HungYu Tseng, Maneesh Kumar Singh, MingHsuan Yang
875		Fair yet Asymptotically Equal Collaborative Learning		0		Bryan Kian Hsiang Low, ChuanSheng Foo, SeeKiong Ng, Xiaoqiang Lin, Xinyi Xu
876		Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction		0		Keqiang Yan, Shuiwang Ji, Xiaoning Qian, Yi Liu, Youzhi Luo, Yuchao Lin
877		Continuation Path Learning for Homotopy Optimization		0		Qingfu Zhang, Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang
878		Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary		0		Alexander Lindermayr, Martin Rapp, Nicole Megow
879		Graph Mixup with Soft Alignments		0		Hongyi Ling, Meng Liu, Na Zou, Shuiwang Ji, Zhimeng Jiang
880		Deep Graph Representation Learning and Optimization for Influence Maximization		0		Chen Ling, James Song, Junji Jiang, Junxiang Wang, Liang Zhao, Meikang Qiu, My T. Thai, Renhao Xue
881		Emergent Agentic Transformer from Chain of Hindsight Experience		0		Hao Liu, Pieter Abbeel
882		Shapley Based Residual Decomposition for Instance Analysis		0		Amanda S. Barnard, Tommy Liu
883		Learning Representations without Compositional Assumptions		0		Jeroen Berrevoets, Mihaela van der Schaar, Tennison Liu, Zhaozhi Qian
884		Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting		0		Chen Chen, Fangzhao Wu, Gang Chen, Lingjuan Lyu, Sai Wu, Yuchen Liu
885		Towards Constituting Mathematical Structures for Learning to Optimize		0		HanQin Cai, Jialin Liu, Wotao Yin, Xiaohan Chen, Zhangyang Wang
886		AudioLDM: Text-to-Audio Generation with Latent Diffusion Models		0		Danilo P. Mandic, Haohe Liu, Mark D. Plumbley, Wenwu Wang, Xinhao Mei, Xubo Liu, Yi Yuan, Zehua Chen
887		Identifiability of Label Noise Transition Matrix		0		Hao Cheng, Kun Zhang, Yang Liu
888		A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining		0		Hongyu Guo, Jian Tang, Shengchao Liu, Weitao Du, ZhiMing Ma
889		Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy		0		Andrew B. Duncan, Axel Gandy, Xing Liu
890		Cones: Concept Neurons in Diffusion Models for Customized Generation		0		Deli Zhao, Jingren Zhou, Kai Zhu, Kecheng Zheng, Ruili Feng, Yang Cao, Yifei Zhang, Yu Liu, Zhiheng Liu
891		Opponent-Limited Online Search for Imperfect Information Games		0		Haobo Fu, Qiang Fu, Wei Yang, Weiming Liu
892		Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data		0		Ding Zhao, Hanjiang Hu, Huan Zhang, Yihang Yao, Zhepeng Cen, Zijian Guo, Zuxin Liu
893		Constrained Decision Transformer for Offline Safe Reinforcement Learning		0		Ding Zhao, Tingnan Zhang, Wenhao Yu, Yihang Yao, Zhepeng Cen, Zijian Guo, Zuxin Liu
894		Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer		0		Jun Yang, Liang Liu, Yanan Guo, Youtao Zhang
895		NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data		0		Chengyang Ying, Hang Su, Jun Zhu, Songming Liu, Ze Cheng, Zhongkai Hao
896		Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs		0		EnPei Hu, GuanTing Liu, HungYi Lee, PuJen Cheng, ShaoHua Sun
897		Online Local Differential Private Quantile Inference via Self-normalization		0		Lei Ding, Linglong Kong, Qirui Hu, Yi Liu
898		GFlowOut: Dropout with Generative Flow Networks		0		Anirudh Goyal, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Dianbo Liu, Dinghuai Zhang, Kenji Kawaguchi, Moksh Jain, Nadhir Hassen, Nikolay Malkin, Qianli Shen, Salem Lahlou, Xu Ji, Yoshua Bengio
899		2D-Shapley: A Framework for Fragmented Data Valuation		0		Hoang Anh Just, Ruoxi Jia, Xi Chen, Xiangyu Chang, Zhihong Liu
900		Causal Structure Learning for Latent Intervened Non-stationary Data		0		Chenxi Liu, Kun Kuang
901		Structural Re-weighting Improves Graph Domain Adaptation		0		Han Zhao, Nhan Tran, Pan Li, Qiang Qiu, Shikun Liu, Tianchun Li, Yongbin Feng
902		Dink-Net: Neural Clustering on Large Graphs		0		Jun Xia, Ke Liang, Sihang Zhou, Stan Z. Li, Xihong Yang, Xinwang Liu, Yue Liu
903		Oscillation-free Quantization for Low-bit Vision Transformers		0		KwangTing Cheng, ShihYang Liu, Zechun Liu
904		Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits		0		Anji Liu, Guy Van den Broeck, Xuejie Liu, Yitao Liang
905		Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity		0		Jin Zhang, Risheng Liu, Shangzhi Zeng, Wei Yao, Yaohua Liu
906		Graph Switching Dynamical Systems		0		Efstratios Gavves, Miltiadis Kofinas, Sara Magliacane, Yongtuo Liu
907		High Probability Convergence of Stochastic Gradient Methods		0		Alina Ene, Huy Nguyen, Ta Duy Nguyen, Thien Hang Nguyen, Zijian Liu
908		OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models		0		Enshu Liu, Huazhong Yang, Xuefei Ning, Yu Wang, Zinan Lin
909		Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning		0		Boyin Liu, Du Zhang, Jianqiang Yi, Yanyan Liang, Yi Pan, Zhiqiang Pu
910		RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations		0		Daochen Zha, Kaixiong Zhou, Shengyuan Chen, Xia Hu, Xiao Huang, Zirui Liu
911		Algorithms for bounding contribution for histogram estimation under user-level privacy		0		Ananda Theertha Suresh, Marco Gruteser, Peter Kairouz, Wennan Zhu, Yuhan Liu
912		Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning		0		Allan Zhou, Chelsea Finn, Evan Zheran Liu, Sahaana Suri, Tong Mu
913		Generating Private Synthetic Data with Genetic Algorithms		0		Giuseppe Vietri, Jingwu Tang, Steven Wu, Terrance Liu
914		FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning		0		Dinghao Wu, Jian Tang, Lu Lin, Minkai Xu, Peilin Zhao, Rex Ying, Songtao Liu, Zhengkai Tu, Zuobai Zhang
915		I2SB: Image-to-Image Schrödinger Bridge		0		Anima Anandkumar, Arash Vahdat, DeAn Huang, Evangelos A. Theodorou, GuanHorng Liu, Weili Nie
916		What can online reinforcement learning with function approximation benefit from general coverage conditions?		0		Fanghui Liu, Luca Viano, Volkan Cevher
917		TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation		0		Gabriel LoaizaGanem, Jimmy Ba, Noël Vouitsis, Satya Krishna Gorti, Zhaoyan Liu
918		Global Optimization with Parametric Function Approximation		0		Chong Liu, YuXiang Wang
919		Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time		0		Anshumali Shrivastava, Beidi Chen, Binhang Yuan, Ce Zhang, Christopher Ré, Jue Wang, Tianyi Zhou, Tri Dao, Yuandong Tian, Zhao Song, Zichang Liu
920		Trapdoor Normalization with Irreversible Ownership Verification		0		Hanwen Liu, Yadong Mu, Yuesheng Zhu, Zhenyu Weng
921		Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models		0		Hong Liu, Sang Michael Xie, Tengyu Ma, Zhiyuan Li
922		Taxonomy-Structured Domain Adaptation		0		GuangHe Lee, GuangYuan Hao, Hao He, Hao Wang, Tianyi Liu, Zihao Xu
923		Dropout Reduces Underfitting		0		Joseph Jin, Trevor Darrell, Zhiqiang Shen, Zhiqiu Xu, Zhuang Liu
924		Revisiting Pseudo-Label for Single-Positive Multi-Label Learning		0		Biao Liu, Jiaqi Lv, Ning Xu, Xin Geng
925		Retrosynthetic Planning with Dual Value Networks		0		Austin Tripp, Di Xue, Guoqing Liu, Krzysztof Maziarz, Marwin H. S. Segler, Shufang Xie, Tao Qin, TieYan Liu, Yingce Xia, Zongzhang Zhang
926		Online Nonstochastic Control with Adversarial and Static Constraints		0		Lei Ying, Xin Liu, Zixian Yang
927		Optimization for Amortized Inverse Problems		0		Qi Lei, Quan Zhang, Tianci Liu, Tong Yang
928		Active Policy Improvement from Multiple Black-box Oracles		0		Chaoqi Wang, Matthew R. Walter, Takuma Yoneda, Xuefeng Liu, Yuxin Chen
929		Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space		0		Jingbo Shang, Weitang Liu, YiZhuang You, YingWai Li
930		VectorMapNet: End-to-end Vectorized HD Map Learning		0		Hang Zhao, Tianyuan Yuan, Yicheng Liu, Yilun Wang, Yue Wang
931		Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing		0		Kaiqing Zhang, Xiangyu Liu
932		Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning		0		Jia Liu, Prashant Khanduri, Songtao Lu, Xin Zhang, Zhuqing Liu
933		D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching		0		Haiqin Yang, Jiaqi Sun, Lin Zhang, Xuanzhou Liu, Yujiu Yang
934		Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression		0		Martha A. Larson, Zhengyu Zhao, Zhuoran Liu
935		Which Invariance Should We Transfer? A Causal Minimax Learning Approach		0		Fang Fang, Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Yizhou Wang
936		Unsupervised Out-of-Distribution Detection with Diffusion Inpainting		0		Jin Peng Zhou, Kilian Q. Weinberger, Yufan Wang, Zhenzhen Liu
937		NA2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning		0		Chunlin Chen, Yuanyang Zhu, Zichuan Liu
938		Contextual Combinatorial Bandits with Probabilistically Triggered Arms		0		Adam Wierman, Jinhang Zuo, John C. S. Lui, Mohammad Hajiesmaili, Siwei Wang, Wei Chen, Xutong Liu
939		Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning		0		Akhil Bagaria, George Konidaris, Sam Lobel
940		Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries		0		Akash Srivastava, Charlotte Loh, Florian Wenzel, Kai Xu, Marin Soljacic, Rumen Dangovski, Seungwook Han, Shivchander Sudalairaj
941		The Flan Collection: Designing Data and Methods for Effective Instruction Tuning		0		Adam Roberts, Albert Webson, Barret Zoph, Denny Zhou, Hyung Won Chung, Jason Wei, Le Hou, Quoc V. Le, Shayne Longpre, Tu Vu, Yi Tay
942		Dataset Distillation with Convexified Implicit Gradients		0		Daniela Rus, Mathias Lechner, Noel Loo, Ramin M. Hasani
943		Reflected Diffusion Models		0		Aaron Lou, Stefano Ermon
944		Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective		0		Andrew P. Bradley, David R. Lovell, Dimity Miller, Jaiden Capra
945		Bilevel Optimization with Coupled Decision-Dependent Distributions		0		Songtao Lu
946		Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective		0		Yulong Lu
947		STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition		0		Amir Yazdanbakhsh, Christopher De Sa, Oleg Rybakov, Shivani Agrawal, Suvinay Subramanian, Yucheng Lu
948		Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning		0		Cheng Lu, Chongxuan Li, Hang Su, Huayu Chen, Jianfei Chen, Jun Zhu
949		Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks		0		Gautam Kamath, Yaoliang Yu, Yiwei Lu
950		QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark		0		Ge Yan, Jiaming Shan, Junchi Yan, Kaisen Pan, Wenjie Wu, Xudong Lu
951		Learning Dense Correspondences between Photos and Sketches		0		Judith E. Fan, Xiaolong Wang, Xuanchen Lu
952		Adversarial Cheap Talk		0		Alistair Letcher, Chris Lu, Jakob Nicolaus Foerster, Timon Willi
953		Federated Conformal Predictors for Distributed Uncertainty Quantification		0		Charles Lu, Michael I. Jordan, Ramesh Raskar, Sai Praneeth Karimireddy, Yaodong Yu
954		Mechanistic Mode Connectivity		0		David Scott Krueger, Ekdeep Singh Lubana, Eric J. Bigelow, Hidenori Tanaka, Robert P. Dick
955		A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions		0		Daniel Lundström, Meisam Razaviyayn
956		SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation		0		Huaishao Luo, Junwei Bao, Tianrui Li, Xiaodong He, Youzheng Wu
957		Image Restoration with Mean-Reverting Stochastic Differential Equations		0		Fredrik K. Gustafsson, Jens Sjölund, Thomas B. Schön, Zheng Zhao, Ziwei Luo
958		Dimensionality Reduction for General KDE Mode Finding		0		Cas Widdershoven, Christopher Musco, Xinyu Luo
959		Iterative Approximate Cross-Validation		0		Rina Barber, Yuetian Luo, Zhimei Ren
960		A Closer Look at Few-shot Classification Again		0		Hao Wu, Ji Zhang, Jing Xu, Jingkuan Song, Lianli Gao, Xu Luo
961		HOPE: High-order Graph ODE For Modeling Interacting Dynamics		0		Huiyu Jiang, Jingyang Yuan, Ming Zhang, Wei Ju, Xiao Luo, Yifang Qin, Yizhou Sun, Zijie Huang
962		Stabilizing GANs' Training with Brownian Motion Controller		0		Jianfei Chen, Jun Zhu, Tianjiao Luo, Ziyu Zhu
963		OCD: Learning to Overfit with Conditional Diffusion Models		0		Lior Wolf, Shahar Lutati
964		DiscoBAX: Discovery of optimal intervention sets in genomic experiment design		0		Andrew Jesson, Arash Mehrjou, Clare Lyle, Pascal Notin, Patrick Schwab, Stefan Bauer, Yarin Gal
965		Understanding Plasticity in Neural Networks		0		Bernardo Ávila Pires, Clare Lyle, Evgenii Nikishin, Razvan Pascanu, Will Dabney, Zeyu Zheng
966		Bandits with Knapsacks: Advice on Time-Varying Demands		0		Lixing Lyu, Wang Chi Cheung
967		Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions		0		Boxiang Lyu, Sanmi Koyejo, Zachary Robertson, Zhe Feng
968		Which Tricks are Important for Learning to Rank?		0		Aleksei Ustimenko, Andrey Gulin, Ivan Lyzhin, Liudmila Prokhorenkova
969		Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics		0		Bolei Deng, Chuang Gan, Joshua B. Tenenbaum, Peter Yichen Chen, Pingchuan Ma, Tao Du, Wojciech Matusik
970		LIV: Language-Image Representations and Rewards for Robotic Control		0		Amy Zhang, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Yecheng Jason Ma
971		Graph Inductive Biases in Transformers without Message Passing		0		Adriana RomeroSoriano, Chen Lin, Derek Lim, Liheng Ma, Mark Coates, Philip H. S. Torr, Puneet K. Dokania, SerNam Lim
972		Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping		0		Baorui Ma, YuShen Liu, Zhizhong Han
973		Learning Intuitive Policies Using Action Features		0		Jakob Nicolaus Foerster, Jizhou Liu, Max KleimanWeiner, Mingwei Ma, Samuel Sokota
974		Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points		0		Igor Molybog, Javad Lavaei, Somayeh Sojoudi, Ziye Ma
975		Buying Information for Stochastic Optimization		0		Christos Tzamos, Mingchen Ma
976		Generated Graph Detection		0		Michael Backes, Ning Yu, Xinlei He, Yang Zhang, Yihan Ma, Yun Shen, Zhikun Zhang
977		Calibrating Multimodal Learning		0		Bingzhe Wu, Changqing Zhang, Huan Ma, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu, Qingyang Zhang
978		AutoCoreset: An Automatic Practical Coreset Construction Framework		0		Alaa Maalouf, Daniela Rus, Murad Tukan, Vladimir Braverman
979		Learning GFlowNets From Partial Episodes For Improved Convergence And Stability		0		Andrei Cristian Nica, Emmanuel Bengio, Jarrid RectorBrooks, Kanika Madan, Maksym Korablyov, Moksh Jain, Nikolay Malkin, Tom Bosc, Yoshua Bengio
980		Applied Online Algorithms with Heterogeneous Predictors		0		Jessica Maghakian, Jian Li, Mohammad Hajiesmaili, Ramesh K. Sitaraman, Russell Lee, Zhenhua Liu
981		CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations		0		Gengchen Mai, Jiaming Song, Ni Lao, Stefano Ermon, Yutong He
982		Vertical Federated Graph Neural Network for Recommender System		0		Peihua Mai, Yan Pang
983		Can Neural Network Memorization Be Localized?		0		Chiyuan Zhang, Hanie Sedghi, J. Zico Kolter, Michael Curtis Mozer, Pratyush Maini, Zachary Chase Lipton
984		Fundamental Tradeoffs in Learning with Prior Information		0		Anirudha Majumdar
985		Additive Causal Bandits with Unknown Graph		0		Alan Malek, Silvia Chiappa, Virginia Aglietti
986		Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality		0		Aarti Singh, Conor Igoe, Dhruv Malik, Yuanzhi Li
987		A Kernel-Based View of Language Model Fine-Tuning		0		Alexander Wettig, Danqi Chen, Dingli Yu, Sadhika Malladi, Sanjeev Arora
988		Performative Reinforcement Learning		0		Debmalya Mandal, Goran Radanovic, Stelios Triantafyllou
989		Differential Privacy has Bounded Impact on Fairness in Classification		0		Aurélien Bellet, Marc Tommasi, Michaël Perrot, Paul Mangold
990		Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice		0		Richard Nock, Robert C. Williamson, Yishay Mansour
991		H-Consistency Bounds for Pairwise Misranking Loss Surrogates		0		Anqi Mao, Mehryar Mohri, Yutao Zhong
992		Cross-Entropy Loss Functions: Theoretical Analysis and Applications		0		Anqi Mao, Mehryar Mohri, Yutao Zhong
993		Supported Trust Region Optimization for Offline Reinforcement Learning		0		Chen Chen, Hongchang Zhang, Xiangyang Ji, Yi Xu, Yixiu Mao
994		Robust Perception through Equivariance		0		Abhishek Vaibhav Joshi, Carl Vondrick, Chengzhi Mao, Hao Wang, Junfeng Yang, Lingyu Zhang
995		Reliable Measures of Spread in High Dimensional Latent Spaces		0		Anna C. Marbut, Katy McKinneyBock, Travis J. Wheeler
996		SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning		0		Arthur Pignet, Jean Ogier du Terrail, Regis Loeb, Tanguy Marchand, Ulysse MarteauFerey
997		Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal		0		Andrea Passerini, Elisa Ficarra, Emanuele Marconato, Gianpaolo Bontempo, Simone Calderara, Stefano Teso
998		Evaluating Unsupervised Denoising Requires Unsupervised Metrics		0		Adria MarcosMorales, Carlos FernandezGranda, Joshua Lawrence Vincent, Mai Tan, Matan Leibovich, Peter A. Crozier, Piyush Haluai, Sreyas Mohan
999		Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts		0		Alexandre Drouin, Nicolas Chapados, Valentina Zantedeschi, Étienne Marcotte
1000		Analyzing Diffusion as Serial Reproduction		0		Ilia Sucholutsky, Nori Jacoby, Raja Marjieh, Thomas A. Langlois, Thomas L. Griffiths
1001		Quantized Distributed Training of Large Models with Convergence Guarantees		0		Adrian Vladu, Dan Alistarh, Ilia Markov, Qi Guo
1002		Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification		0		Daniel HernándezLobato, Juan Maroñas
1003		Computational Asymmetries in Robust Classification		0		Michele Lombardi, Samuele Marro
1004		Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective		0		Andrej Risteski, Jianfeng Lu, Tanya Marwah, Zachary Chase Lipton
1005		Generative Pretraining for Black-Box Optimization		0		Aditya Grover, Satvik Mehul Mashkaria, Siddarth Krishnamoorthy
1006		Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation		0		Aditya Mate, Aparna Taneja, Bryan Wilder, Milind Tambe
1007		Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry		0		Aimee Maurais, Benjamin Peherstorfer, Terrence Alsup, Youssef M. Marzouk
1008		Communication-Constrained Bandits under Additive Gaussian Noise		0		Jonathan Scarlett, Prathamesh Mayekar, Vincent Y. F. Tan
1009		Nonparametric Density Estimation under Distribution Drift		0		Alessio Mazzetto, Eli Upfal
1010		PAC-Bayesian Generalization Bounds for Adversarial Generative Models		0		Florence Clerc, Pascal Germain, Sokhna Diarra Mbacke
1011		Robustness in Multimodal Learning under Train-Test Modality Mismatch		0		Alexander T. Toshev, Brandon McKinzie, Joseph Yitan Cheng, Vaishaal Shankar, Yinfei Yang
1012		A Model-free Closeness-of-influence Test for Features in Supervised Learning		0		Mohammad Mehrabi, Ryan A. Rossi
1013		Stochastic Gradient Succeeds for Bandits		0		Alekh Agarwal, Bo Dai, Csaba Szepesvári, Dale Schuurmans, Jincheng Mei, Zixin Zhong
1014		Normalizing Flows for Interventional Density Estimation		0		Dennis Frauen, Stefan Feuerriegel, Valentyn Melnychuk
1015		Reprogramming Pretrained Language Models for Antibody Sequence Infilling		0		Amit Dhurandhar, Devleena Das, Igor Melnyk, Inkit Padhi, Payel Das, PinYu Chen, Vijil Chenthamarakshan
1016		Superhuman Fairness		0		Brian D. Ziebart, Linh Vu, Omid Memarrast
1017		A Model-Based Method for Minimizing CVaR and Beyond		0		Robert M. Gower, Si Yi Meng
1018		Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning		0		Jiawei Han, Jiaxin Huang, Martin Michalski, Tarek F. Abdelzaher, Yu Meng, Yu Zhang
1019		On Preemption and Learning in Stochastic Scheduling		0		Corentin Odic, Flore Sentenac, Hugo Richard, Mathieu Molina, Nadav Merlis, Vianney Perchet
1020		Quantile Credit Assignment		0		Alaa Saade, Audrunas Gruslys, Clare Lyle, Eric Moulines, Georg Ostrovski, Mark Rowland, Michal Valko, Rémi Munos, Theophane Weber, Thomas Mesnard, Wenqi Chen, Will Dabney, Yunhao Tang
1021		Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?		0		Alexander Rogozin, Alexander V. Gasnikov, Dmitry Kovalev, Dmitry Metelev
1022		Towards Theoretical Understanding of Inverse Reinforcement Learning		0		Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
1023		Quantum Policy Gradient Algorithm with Optimized Action Decoding		0		Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Michael J. Hartmann, Nico Meyer
1024		Training Deep Surrogate Models with Large Scale Online Learning		0		Alejandro Ribés, Bruno Raffin, Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk
1025		MANSA: Learning Fast and Slow in Multi-Agent Systems		0		David Henry Mguni, Feifei Tong, Haojun Chen, Jianhong Wang, Jun Wang, Longfei Yue, Stephen Marcus McAleer, Taher Jafferjee, Xidong Feng, Yaodong Yang
1026		Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL		0		Alexander Rakhlin, Dylan J. Foster, Zakaria Mhammedi
1027		Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function		0		Elissa Mhanna, Mohamad Assaad
1028		Learning Instance-Specific Augmentations by Capturing Local Invariances		0		Adam Foster, Emile Mathieu, Hyunjik Kim, Ning Miao, Tom Rainforth, Yann Dubois, Yee Whye Teh
1029		Path Neural Networks: Expressive and Accurate Graph Neural Networks		0		Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
1030		Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning		0		Thomas Miconi
1031		Generative Decoding of Visual Stimuli		0		Andrei Irimia, Eleni Miliotou, Jason D. Hinman, Panagiotis Kyriakis, Paul Bogdan
1032		Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation		0		Jiafan He, Quanquan Gu, Tianhao Wang, Yifei Min
1033		Directed Chain Generative Adversarial Networks		0		Ming Min, Ruimeng Hu, Tomoyuki Ichiba
1034		An Information-Theoretic Analysis of Nonstationary Bandit Learning		0		Daniel Russo, Seungki Min
1035		On the Convergence of Gradient Flow on Multi-layer Linear Models		0		Enrique Mallada, Hancheng Min, René Vidal
1036		Optimal Sets and Solution Paths of ReLU Networks		0		Aaron Mishkin, Mert Pilanci
1037		The Numerical Stability of Hyperbolic Representation Learning		0		Gal Mishne, Sheng Yang, Yusu Wang, Zhengchao Wan
1038		DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature		0		Alexander Khazatsky, Chelsea Finn, Christopher D. Manning, Eric Mitchell, Yoonho Lee
1039		Diffusion Based Representation Learning		0		Arash Mehrjou, Bernhard Schölkopf, Korbinian Abstreiter, Sarthak Mittal, Stefan Bauer
1040		Disentangled Multiplex Graph Representation Learning		0		Heng Tao Shen, Jialie Shen, Xiaofeng Zhu, Xiaoshuang Shi, Yajie Lei, Yujie Mo
1041		A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition		0		Pedro Morgado, Shentong Mo
1042		Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint		0		Haosen Shi, Sinno Jialin Pan, Zhanfeng Mo
1043		Text-To-Concept (and Back) via Cross-Model Alignment		0		Keivan Rezaei, Mazda Moayeri, Maziar Sanjabi, Soheil Feizi
1044		A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel		0		Danica J. Sutherland, Mohamad Amin Mohamadi, Wonho Bae
1045		Special Properties of Gradient Descent with Large Learning Rates		0		Amirkeivan Mohtashami, Martin Jaggi, Sebastian U. Stich
1046		Neural Inverse Operators for Solving PDE Inverse Problems		0		Björn Engquist, Roberto Molinaro, Siddhartha Mishra, Yunan Yang
1047		Input uncertainty propagation through trained neural networks		0		Erwan Le Pennec, Loic Coquelin, Nicolas Fischer, Paul Monchot, Sébastien Julien Petit, Sébastien Marmin
1048		Compressing Tabular Data via Latent Variable Estimation		0		Andrea Montanari, Eric Weiner
1049		An SDE for Modeling SAM: Theory and Insights		0		Antonio Orvieto, Aurélien Lucchi, Enea Monzio Compagnoni, Frank Norbert Proske, Hans Kersting, Luca Biggio
1050		Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic		0		Atsuki Yamaguchi, Gaku Morio, Terufumi Morishita, Yasuhiro Sogawa
1051		WL meet VC		0		Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
1052		ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs		0		Brendan O'Donoghue, Satinder Singh, Sebastian Flennerhag, Ted Moskovitz, Tom Zahavy, Vivek Veeriah
1053		Optimistic Planning by Regularized Dynamic Programming		0		Antoine Moulin, Gergely Neu
1054		Neural signature kernels as infinite-width-depth-limits of controlled ResNets		0		Cristopher Salvi, Maud Lemercier, Nicola Muca Cirone
1055		Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models		0		Alaaeldin ElNouby, Hervé Jégou, Jakob Verbeek, Karen Ullrich, Matthew J. Muckley
1056		PFNs4BO: In-Context Learning for Bayesian Optimization		0		Frank Hutter, Matthias Feurer, Noah Hollmann, Samuel Müller
1057		Achieving High Accuracy with PINNs via Energy Natural Gradient Descent		0		Johannes Müller, Marius Zeinhofer
1058		Uncertain Evidence in Probabilistic Models and Stochastic Simulators		0		Alexander Mead, Andreas Munk, Frank Wood
1059		GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration		0		ChiehHsin Lai, Koichi Saito, Naoki Murata, Stefano Ermon, Toshimitsu Uesaka, Yuhta Takida, Yuki Mitsufuji
1060		DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning		0		Taiji Suzuki, Tomoya Murata
1061		Efficiently predicting high resolution mass spectra with graph neural networks		0		David Healey, Ernest Fraenkel, Michael Murphy, Stefanie Jegelka, Thomas Butler, Tobias Kind
1062		Dynamical Linear Bandits		0		Alberto Maria Metelli, Marcello Restelli, Marco Mussi
1063		Representation-Driven Reinforcement Learning		0		Guy Tennenholtz, Ofir Nabati, Shie Mannor
1064		DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization		0		Adel Nabli, Edouard Oyallon
1065		Multi-User Reinforcement Learning with Low Rank Rewards		0		Dheeraj Mysore Nagaraj, Naman Agarwal, Praneeth Netrapalli, Prateek Jain, Suhas S. Kowshik
1066		Statistical Foundations of Prior-Data Fitted Networks		0		Thomas Nagler
1067		Do Machine Learning Models Learn Statistical Rules Inferred from Data?		0		Aaditya Naik, Eric Wong, Mayur Naik, Yinjun Wu
1068		Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation		0		Ilan Naiman, Nimrod Berman, Omri Azencot
1069		Effectively Using Public Data in Privacy Preserving Machine Learning		0		Amir Houmansadr, Milad Nasr, Prateek Mittal, Saeed Mahloujifar, Xinyu Tang
1070		Counterfactual Identifiability of Bijective Causal Models		0		Arash NasrEsfahany, Devavrat Shah, Mohammad Alizadeh
1071		Discovering Object-Centric Generalized Value Functions From Pixels		0		Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou, Somjit Nath
1072		On Many-Actions Policy Gradient		0		Marek Cygan, Michal Nauman
1073		Equivariant Architectures for Learning in Deep Weight Spaces		0		Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Haggai Maron, Idan Achituve
1074		Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation		0		Hamsa Balakrishnan, Karthik Gopalakrishnan, Kenneth Choi, Siddharth Nayak, Sydney Dolan, Wenqi Ding
1075		Geometric Autoencoders - What You See is What You Decode		0		Fred A. Hamprecht, Philipp Nazari, Sebastian Damrich
1076		Action Matching: Learning Stochastic Dynamics from Samples		0		Alireza Makhzani, Daniel Severo, Kirill Neklyudov, Rob Brekelmans
1077		Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains		0		Buddhika Nettasinghe, Mahantesh M. Halappanavar, Ramakrishna Tipireddy, Samrat Chatterjee
1078		ClimaX: A foundation model for weather and climate		0		Aditya Grover, Ashish Kapoor, Jayesh K. Gupta, Johannes Brandstetter, Tung Nguyen
1079		Provable Reset-free Reinforcement Learning by No-Regret Reduction		0		ChingAn Cheng, HoaiAn Nguyen
1080		Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature		0		Khang Nguyen, Nhat Ho, Nong Minh Hieu, Stanley J. Osher, Tan Minh Nguyen, Vinh Duc Nguyen
1081		Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach		0		Shahana Ibrahim, Tri Nguyen, Xiao Fu
1082		Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction		0		Dang Nguyen, Khai Nguyen, Nhat Ho
1083		Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach		0		Shuo Yang, Xuan Son Nguyen
1084		Simple Disentanglement of Style and Content in Visual Representations		0		Alex Gittens, Lilian Ngweta, Mikhail Yurochkin, Subha Maity, Yuekai Sun
1085		MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL		0		Bin Wang, Fei Ni, Jianye Hao, Yan Zheng, Yao Mu, Yifu Yuan, Zhixuan Liang
1086		LEVER: Learning to Verify Language-to-Code Generation with Execution		0		Ansong Ni, Dragomir Radev, Sida I. Wang, Srini Iyer, Veselin Stoyanov, WenTau Yih, Xi Victoria Lin
1087		Continual Vision-Language Representation Learning with Off-Diagonal Information		0		Longhui Wei, Qi Tian, Siliang Tang, Yueting Zhuang, Zixuan Ni
1088		Attributing Image Generative Models using Latent Fingerprints		0		Changhoon Kim, Guangyu Nie, Yezhou Yang, Yi Ren
1089		A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback		0		Christopher John Quinn, Guanyu Nie, Vaneet Aggarwal, Yanhui Zhu, Yididiya Y. Nadew
1090		SinFusion: Training Diffusion Models on a Single Image or Video		0		Michal Irani, Niv Haim, Yaniv Nikankin
1091		SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge		0		Dan Alistarh, Eldar Kurtic, Eugenia Iofinova, Mahdi Nikdan, Tommaso Pegolotti
1092		Anti-Exploration by Random Network Distillation		0		Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov, Vladislav Kurenkov
1093		Input Perturbation Reduces Exposure Bias in Diffusion Models		0		Angelo Porrello, Enver Sangineto, Mang Ning, Rita Cucchiara, Simone Calderara
1094		Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems		0		Atsushi Nitanda, Denny Wu, Kazusato Oko, Nobuhito Takenouchi, Taiji Suzuki
1095		The Statistical Scope of Multicalibration		0		Aaron Roth, Georgy Noarov
1096		Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling		0		Alane Suhr, Hannaneh Hajishirzi, Kolby Nottingham, Prithviraj Ammanabrolu, Roy Fox, Sameer Singh, Yejin Choi
1097		Gradient-Free Structured Pruning with Unlabeled Data		0		Azade Nova, Dale Schuurmans, Hanjun Dai
1098		CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets		0		Julian J. McAuley, Saurabh Garg, Zachary Chase Lipton, Zachary Novack
1099		Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction		0		Alex Shonenkov, Daniel Bershatsky, Denis Valerievich Dimitrov, Georgii Sergeevich Novikov, Ivan V. Oseledets, Julia Gusak
1100		Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization		0		Brendan O'Donoghue
1101		Provable Benefit of Mixup for Finding Optimal Decision Boundaries		0		Chulhee Yun, Junsoo Oh
1102		Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances		0		Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola, Ruben Ohana
1103		Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality		0		Guy Ohayon, Michael Elad, Theo Joseph Adrai, Tomer Michaeli
1104		On the Within-Group Fairness of Screening Classifiers		0		Manuel Gomez Rodriguez, Nastaran Okati, Stratis Tsirtsis
1105		Diffusion Models are Minimax Optimal Distribution Estimators		0		Kazusato Oko, Shunta Akiyama, Taiji Suzuki
1106		How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy		0		Bhiksha Raj, Raphaël Olivier
1107		B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding		0		Andrew Jesson, Jacob Dorn, Marah Ghoummaid, Miruna Oprescu, Nathan Kallus, Uri Shalit
1108		Measuring the Impact of Programming Language Distribution		0		Gabriel Orlanski, Jacob Austin, Jeffrey Hui, Jonathan Malmaud, Joshua Howland, Kefan Xiao, Michele Catasta, Rishabh Singh, Xavier Garcia
1109		When does Privileged information Explain Away Label Noise?		0		Alexander Nicholas D'Amour, Anant Nawalgaria, Efi Kokiopoulou, Guillermo OrtizJiménez, Jesse Berent, Mark Collier, Rodolphe Jenatton
1110		Resurrecting Recurrent Neural Networks for Long Sequences		0		Albert Gu, Antonio Orvieto, Anushan Fernando, Razvan Pascanu, Samuel L. Smith, Soham De, Çaglar Gülçehre
1111		Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process		0		Guang Cheng, Liyan Xie, Yidong Ouyang
1112		On the Role of Attention in Prompt-tuning		0		Ankit Singh Rawat, Christos Thrampoulidis, Mahdi Soltanolkotabi, Samet Oymak
1113		Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation		0		Asuman E. Ozdaglar, Jiawei Zhang, Kaiqing Zhang, Sarath Pattathil
1114		Extrapolative Controlled Sequence Generation via Iterative Refinement		0		Ankur P. Parikh, He He, Richard Yuanzhe Pang, Vishakh Padmakumar
1115		Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!		0		Alan Edelman, Avik Pal, Christopher Vincent Rackauckas
1116		Controlled Differential Equations on Long Sequences via Non-standard Wavelets		0		Sathya N. Ravi, Sourav Pal, Vikas Singh, Zhanpeng Zeng
1117		Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark		0		Alexander Pan, Andy Zou, Dan Hendrycks, Hanlin Zhang, Jun Shern Chan, Nathaniel Li, Scott Emmons, Steven Basart, Thomas Woodside
1118		Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering		0		Erlin Pan, Zhao Kang
1119		Better Training of GFlowNets with Local Credit and Incomplete Trajectories		0		Dinghuai Zhang, Ling Pan, Nikolay Malkin, Yoshua Bengio
1120		A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer		0		Ahmet Enis Çetin, Hongyi Pan, Salih Furkan Atici, Xin Zhu
1121		Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees		0		Ioannis Panageas, Luca Viano, Stratis Skoulakis, Volkan Cevher, Xiao Wang
1122		Flash: Concept Drift Adaptation in Federated Learning		0		Hui Guan, Koyel Mukherjee, Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Subrata Mitra, Sunav Choudhary
1123		Learn to Accumulate Evidence from All Training Samples: Theory and Practice		0		Deep Shankar Pandey, Qi Yu
1124		Secure Federated Correlation Test and Entropy Estimation		0		Dawn Song, Lun Wang, Qi Pang, Shuai Wang, Wenting Zheng
1125		Task-Specific Skill Localization in Fine-tuned Language Models		0		Abhishek Panigrahi, Haoyu Zhao, Nikunj Saunshi, Sanjeev Arora
1126		Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation		0		Cheolwoo Park, Jeongyoun Ahn, Junyoung Park
1127		Learning Affinity with Hyperbolic Representation for Spatial Propagation		0		HaeGon Jeon, Inhwan Bae, Jaesung Choe, JinHwi Park
1128		TRAK: Attributing Model Behavior at Scale		0		Aleksander Madry, Andrew Ilyas, Guillaume Leclerc, Kristian Georgiev, Sung Min Park
1129		Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization		0		DongJun Han, Jaekyun Moon, Jungwuk Park, Soyeong Kim
1130		Towards Understanding Ensemble Distillation in Federated Learning		0		Ganguk Hwang, Kihun Hong, Sejun Park
1131		Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows		0		Dongjin Kim, Seobin Park, Sungyong Baik, Tae Hyun Kim
1132		Differentially Private Sharpness-Aware Training		0		Hoki Kim, Jaewook Lee, Jinseong Park, Yujin Choi
1133		Controllability-Aware Unsupervised Skill Discovery		0		Kimin Lee, Pieter Abbeel, Seohong Park, Youngwoon Lee
1134		Predictable MDP Abstraction for Unsupervised Model-Based RL		0		Seohong Park, Sergey Levine
1135		Neural Stochastic Differential Games for Time-series Analysis		0		Byoungwoo Park, Changhee Lee, Moontae Lee, Sungwoo Park
1136		Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations		0		Ernest K. Ryu, Jisun Park
1137		Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators		0		Paavo Parmas, Takuma Seno, Yuma Aoki
1138		PAC Generalization via Invariant Representations		0		Advait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai
1139		Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network		0		Alexei A. Koulakov, Farhad Pashakhanloo
1140		Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs		0		C. Lawrence Zitnick, Saro Passaro
1141		Federated Online and Bandit Convex Optimization		0		Aadirupa Saha, Kumar Kshitij Patel, Lingxiao Wang, Nathan Srebro
1142		Brauer's Group Equivariant Neural Networks		0		Edward PearceCrump
1143		How Jellyfish Characterise Alternating Group Equivariant Neural Networks		0		Edward PearceCrump
1144		Can Large Language Models Reason about Program Invariants?		0		Charles Sutton, David Bieber, Kensen Shi, Kexin Pei, Pengcheng Yin
1145		Dynamics-inspired Neuromorphic Visual Representation Learning		0		Shuhui Wang, Zhengqi Pei
1146		Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation		0		Huiyang Shao, Peifeng Gao, Peisong Wen, Qianqian Xu, Qingming Huang, Zhiyong Yang
1147		Fair Neighbor Embedding		0		Jaakko Peltonen, Jyrki Nummenmaa, Timo Nummenmaa, Wen Xu
1148		The Ideal Continual Learner: An Agent That Never Forgets		0		Liangzu Peng, Paris Giampouras, René Vidal
1149		MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation		0		Jianzhu Ma, Jiaqi Guan, Qiang Liu, Xingang Peng
1150		Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation		0		Andi Peng, Andreea Bobu, Aviv Netanyahu, Julie Shah, Mark K. Ho, Pulkit Agrawal, Tianmin Shu
1151		Learning Hidden Markov Models When the Locations of Missing Observations are Unknown		0		Binyamin Perets, Mark Kozdoba, Shie Mannor
1152		Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection		0		Arto Klami, Lorenzo Perini, PaulChristian Bürkner
1153		Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation		0		Bruno Loureiro, Florent Krzakala, Luca Pesce, Ludovic Stephan
1154		Certifying Ensembles: A General Certification Theory with S-Lipschitzness		0		Adel Bibi, Aleksandar Petrov, Amartya Sanyal, Francisco Eiras, Philip H. S. Torr
1155		The Power of Learned Locally Linear Models for Nonlinear Policy Optimization		0		Daniel Pfrommer, Max Simchowitz, Nikolai Matni, Stephen Tu, Tyler Westenbroek
1156		A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP		0		Chi Bach Pham, James Saunderson, Wynita M. Griggs
1157		Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability		0		Claudia LinnhoffPopien, Fabian Ritz, Jonas Nüßlein, Maximilian Zorn, Michael Kölle, Philipp Altmann, Thomas Gabor, Thomy Phan
1158		HyperTuning: Toward Adapting Large Language Models without Back-propagation		0		Jason Phang, Pengcheng He, Weizhu Chen, Yi Mao
1159		Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies		0		Hannah Pinson, Joeri Lenaerts, Vincent Ginis
1160		Conformal Prediction for Federated Uncertainty Quantification Under Label Shift		0		Aleksandr Rubashevskii, Eric Moulines, Maxim Panov, Mehdi Makni, Vincent Plassier
1161		Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data		0		Brydon Eastman, Lena Podina, Mohammad Kohandel
1162		Sequential Kernelized Independence Testing		0		Aaditya Ramdas, Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan
1163		Truncating Trajectories in Monte Carlo Reinforcement Learning		0		Alberto Maria Metelli, Marcello Restelli, Riccardo Poiani
1164		Hyena Hierarchy: Towards Larger Convolutional Language Models		0		Christopher Ré, Daniel Y. Fu, Eric Nguyen, Michael Poli, Stefano Ermon, Stefano Massaroli, Stephen Baccus, Tri Dao, Yoshua Bengio
1165		Spurious Valleys and Clustering Behavior of Neural Networks		0		Samuele Pollaci
1166		Multisample Flow Matching: Straightening Flows with Minibatch Couplings		0		AramAlexandre Pooladian, Brandon Amos, Carles DomingoEnrich, Heli BenHamu, Ricky T. Q. Chen, Yaron Lipman
1167		Minimax estimation of discontinuous optimal transport maps: The semi-discrete case		0		AramAlexandre Pooladian, Jonathan NilesWeed, Vincent Divol
1168		Test-time Adaptation with Slot-Centric Models		0		Anirudh Goyal, Deepak Pathak, Gaurav Aggarwal, Katerina Fragkiadaki, Mehdi S. M. Sajjadi, Mihir Prabhudesai, Sjoerd van Steenkiste, Sujoy Paul, Thomas Kipf
1169		JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift		0		Anqi Liu, Drew Prinster, Suchi Saria
1170		Equivariant Polynomials for Graph Neural Networks		0		Bobak Toussi Kiani, Derek Lim, Haggai Maron, Omri Puny, Yaron Lipman
1171		Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining		0		Guofan Fan, Kaisheng Ma, Li Yi, Runpei Dong, Xiangyu Zhang, Zekun Qi, Zheng Ge
1172		An Effective Meaningful Way to Evaluate Survival Models		0		LiHao Kuan, Mahtab Farrokh, Neeraj Kumar, Rajesh Ranganath, Ricardo Henao, Russell Greiner, Shiang Qi, Weijie Sun
1173		Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D		0		Bo Qiang, Bowen Gao, Hao Zhou, Jingjing Gong, Minkai Xu, WeiYing Ma, Yanyan Lan, Yuxuan Song
1174		Collaborative Causal Inference with Fair Incentives		0		Bryan Kian Hsiang Low, Rui Qiao, Xinyi Xu
1175		FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning		0		Congyu Qiao, Jiaqi Lv, Ning Xu, Xin Geng, Yi Ren
1176		Nugget: Neural Agglomerative Embeddings of Text		0		Benjamin Van Durme, Guanghui Qin
1177		BiBench: Benchmarking and Analyzing Network Binarization		0		Aoyu Li, Fisher Yu, Haotong Qin, Mingyuan Zhang, Xianglong Liu, Yifu Ding, Zhongang Cai, Ziwei Liu
1178		Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization		0		Denny Zhou, Lijun Zhang, Quanqi Hu, Tianbao Yang, Zhuoning Yuan, ZiHao Qiu
1179		Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search		0		Risto Miikkulainen, Xin Qiu
1180		Simple and Fast Group Robustness by Automatic Feature Reweighting		0		Andres Potapczynski, Andrew Gordon Wilson, Pavel Izmailov, Shikai Qiu
1181		DRCFS: Doubly Robust Causal Feature Selection		0		Ashkan Soleymani, Cristian R. Rojas, Francesco Quinzan, Patrick Jaillet, Stefan Bauer
1182		Robust Speech Recognition via Large-Scale Weak Supervision		0		Alec Radford, Christine McLeavey, Greg Brockman, Ilya Sutskever, Jong Wook Kim, Tao Xu
1183		Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation		0		Drew Penney, Lizhong Chen, Matthew Raffel
1184		Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series		0		Aniruddh Raghu, Collin M. Stultz, John V. Guttag, Payal Chandak, Ridwan Alam
1185		Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework		0		Arman Rahbar, Ashkan Panahi, Devdatt P. Dubhashi, Hamid Krim, Morteza Haghir Chehreghani
1186		Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions		0		Anant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli
1187		Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels		0		Aaron C. Courville, Alexandre Lacoste, Alexandre Piché, Bart Dhoedt, Pietro Mazzaglia, Sai Rajeswar, Tim Verbelen
1188		SpotEM: Efficient Video Search for Episodic Memory		0		Kristen Grauman, Santhosh Kumar Ramakrishnan, Ziad AlHalah
1189		How much does Initialization Affect Generalization?		0		Hemanth Saratchandran, Lachlan Ewen MacDonald, Moshiur R. Farazi, Sameera Ramasinghe, Simon Lucey
1190		Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization		0		Alexandre Ramé, David LopezPaz, Jianyu Zhang, Kartik Ahuja, Léon Bottou, Matthieu Cord
1191		A Picture of the Space of Typical Learnable Tasks		0		Han Kheng Teoh, Itay Griniasty, James P. Sethna, Jialin Mao, Mark K. Transtrum, Pratik Chaudhari, Rahul Ramesh, Rubing Yang
1192		Policy Regularization with Dataset Constraint for Offline Reinforcement Learning		0		Fuxiang Zhang, Yang Yu, YiChen Li, Yuhang Ran, Zongzhang Zhang
1193		SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference		0		Caiwen Ding, Gang Quan, Ran Ran, Tao Liu, Wei Wang, Wujie Wen, Xiaolin Xu, Xinwei Luo
1194		Feature learning in deep classifiers through Intermediate Neural Collapse		0		Akshay Rangamani, Marius Lindegaard, Tomaso A. Poggio, Tomer Galanti
1195		The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning		0		Finale DoshiVelez, Sarah Rathnam, Sonali Parbhoo, Susan A. Murphy, Weiwei Pan
1196		Beam Tree Recursive Cells		0		Cornelia Caragea, Jishnu Ray Chowdhury
1197		Monotonic Location Attention for Length Generalization		0		Cornelia Caragea, Jishnu Ray Chowdhury
1198		Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences		0		Dan Carmon, Ido Kaminer, Ofir David, Ofir Razon, Shahar Gottlieb, Yoav Harris
1199		Neural networks trained with SGD learn distributions of increasing complexity		0		Alessandro Ingrosso, Maria Refinetti, Sebastian Goldt
1200		Simplex Random Features		0		Adrian Weller, Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov
1201		Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts		0		Huiqi Deng, Qihan Ren, Quanshi Zhang, Siyu Lou, Yunuo Chen
1202		Escaping saddle points in zeroth-order optimization: the power of two-point estimators		0		Na Li, Yujie Tang, Zhaolin Ren
1203		Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing		0		Da Yan, Jiaxiang Ren, Jiayin Jin, Lingjuan Lyu, Yang Zhou
1204		Feature Programming for Multivariate Time Series Prediction		0		Alex Daniel Reneau, Ammar Gilani, Han Liu, Jerry YaoChieh Hu
1205		Run-off Election: Improved Provable Defense against Data Poisoning Attacks		0		Atoosa Malemir Chegini, Keivan Rezaei, Kiarash Banihashem, Soheil Feizi
1206		Learning Control-Oriented Dynamical Structure from Data		0		JeanJacques E. Slotine, Marco Pavone, Navid Azizan, Spencer M. Richards
1207		The Edge of Orthogonality: A Simple View of What Makes BYOL Tick		0		Allison C. Tam, Bilal Piot, Felix Hill, Florian Strub, Pierre Harvey Richemond, Yunhao Tang
1208		Multi-Agent Best Arm Identification with Private Communications		0		Alexandre Rio, Igor Colin, Marta Soare, Merwan Barlier
1209		A Two-Stage Active Learning Algorithm for k-Nearest Neighbors		0		Kamalika Chaudhuri, Nicholas Rittler
1210		Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit		0		Aditya Akella, Vijay Chidambaram, Yeonju Ro, Zhangyang Wang
1211		The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning		0		Adam Golinski, Arno Blaas, Borja Rodríguez Gálvez, Dan Busbridge, Jason Ramapuram, Luca Zappella, Pau Rodríguez, Xavier Suau
1212		RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents		0		Benjamin Adin Spiegel, George Konidaris, Jennifer Wang, Rafael RodríguezSánchez, Roma Patel, Stefanie Tellex
1213		Improving Fair Training under Correlation Shifts		0		Changho Suh, Kangwook Lee, Steven Euijong Whang, Yuji Roh
1214		The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation		0		Clare Lyle, Marc G. Bellemare, Mark Rowland, Rémi Munos, Will Dabney, Yunhao Tang
1215		Robust Satisficing MDPs		0		Chin Pang Ho, Haolin Ruan, Siyu Zhou, Zhi Chen
1216		Infinite Action Contextual Bandits with Reusable Data Exhaust		0		Mark Rucker, Paul Mineiro, Yinglun Zhu
1217		Function-Space Regularization in Neural Networks: A Probabilistic Perspective		0		Andrew Gordon Wilson, Sanyam Kapoor, Shikai Qiu, Tim G. J. Rudner
1218		A New PHO-rmula for Improved Performance of Semi-Structured Networks		0		David Rügamer
1219		Geometric Clifford Algebra Networks		0		David Ruhe, Jayesh K. Gupta, Johannes Brandstetter, Max Welling, Steven De Keninck
1220		Constrained Monotonic Neural Networks		0		Davor Runje, Sharath M. Shankaranarayana
1221		Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models		0		Anders Søgaard, Phillip Rust
1222		Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs		0		Raif M. Rustamov, Subhabrata Majumdar
1223		SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient		0		Alexander Borzunov, Max Ryabinin, Michael Diskin, Tim Dettmers
1224		Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles		0		Arkabandhu Chowdhury, Chaitanya Ryali, Chen Wei, Christoph Feichtenhofer, Daniel Bolya, Haoqi Fan, Jitendra Malik, Judy Hoffman, Omid Poursaeed, PoYao Huang, Vaibhav Aggarwal, Yanghao Li, YuanTing Hu
1225		End-to-End Learning for Stochastic Optimization: A Bayesian Perspective		0		Daniel Kuhn, Tobias Sutter, Yves Rychener
1226		Sequential Monte Carlo Learning for Time Series Structure Discovery		0		Brian Patton, Feras Saad, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka
1227		Active Ranking of Experts Based on their Performances in Many Tasks		0		Alexandra Carpentier, El Mehdi Saad, Nicolas Verzelen
1228		Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes		0		Abolfazl S. Motahari, Amir Najafi, Babak H. Khalaj, Seyed Amir Hossein Saberi
1229		Global Selection of Contrastive Batches via Optimization on Sample Permutations		0		Chenguang Zhu, Vin Sachidananda, Ziyi Yang
1230		High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance		0		Abdurakhmon Sadiev, Alexander V. Gasnikov, Eduard Gorbunov, Gauthier Gidel, Marina Danilova, Pavel E. Dvurechensky, Peter Richtárik, Samuel Horváth
1231		End-to-end Differentiable Clustering with Associative Memories		0		Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram
1232		Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement		0		Eden Saig, Nir Rosenfeld
1233		Multi-class Graph Clustering via Approximated Effective p-Resistance		0		Mark Herbster, Shota Saito
1234		Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling		0		Qingyang Ren, Thorsten Joachims, Yuta Saito
1235		Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L♮-Convex Function Minimization		0		Shinsaku Sakaue, Taihei Oki
1236		PAC-Bayesian Offline Contextual Bandits With Guarantees		0		Nicolas Chopin, Otmane Sakhi, Pierre Alquier
1237		Provably and Practically Efficient Neural Contextual Bandits		0		Sudeep Salgia
1238		Distributed Linear Bandits under Communication Constraints		0		Qing Zhao, Sudeep Salgia
1239		Optimizing Hyperparameters with Conformal Quantile Regression		0		Aaron Klein, Cédric Archambeau, David Salinas, Jacek Golebiowski, Matthias W. Seeger
1240		Raising the Cost of Malicious AI-Powered Image Editing		0		Alaa Khaddaj, Aleksander Madry, Andrew Ilyas, Guillaume Leclerc, Hadi Salman
1241		Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective		0		Gabriel Peyré, Joan Puigcerver, Josip Djolonga, Mathieu Blondel, Michael Eli Sander
1242		TAN Without a Burn: Scaling Laws of DP-SGD		0		Alexandre Sablayrolles, Pierre Stock, Tom Sander
1243		Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models		0		Abir De, Arjun Shashank Kashettiwar, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Parth Vipul Sangani, Pritish Chakraborty, Rishabh K. Iyer
1244		Whose Opinions Do Language Models Reflect?		0		Cinoo Lee, Esin Durmus, Faisal Ladhak, Percy Liang, Shibani Santurkar, Tatsunori Hashimoto
1245		Streaming Active Learning with Deep Neural Networks		0		Akanksha Saran, Akshay Krishnamurthy, John Langford, Jordan T. Ash, Safoora Yousefi
1246		Random Teachers are Good Teachers		0		Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
1247		Posterior Sampling for Deep Reinforcement Learning		0		Michelangelo Conserva, Paulo E. Rauber, Remo Sasso
1248		Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure		0		Ryoma Sato
1249		Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule		0		Hideaki Iiduka, Naoki Sato
1250		StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis		0		Andreas Geiger, Axel Sauer, Samuli Laine, Tero Karras, Timo Aila
1251		Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction		0		Andrey V. Savchenko
1252		Off-Policy Average Reward Actor-Critic with Deterministic Policy Search		0		Naman Saxena, Shalabh Bhatnagar, Shishir Kolathaya, Subhojyoti Khastagir
1253		Gibbsian Polar Slice Sampling		0		Daniel Rudolf, Michael Habeck, Philip Schär
1254		Identifiability and Generalizability in Constrained Inverse Reinforcement Learning		0		Andreas Schlaginhaufen, Maryam Kamgarpour
1255		Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks		0		Daniel Cremers, Dominik Schnaus, Jongseok Lee, Rudolph Triebel
1256		Deterministic equivalent and error universality of deep random features learning		0		Bruno Loureiro, Daniil Dmitriev, Dominik Schröder, Hugo Cui
1257		The Acquisition of Physical Knowledge in Generative Neural Networks		0		Eric Schulz, Luca M. Schulze Buschoff, Marcel Binz
1258		Modality-Agnostic Variational Compression of Implicit Neural Representations		0		Jaeho Lee, Jihoon Tack, Jinwoo Shin, Jonathan Richard Schwarz, Yee Whye Teh
1259		Bigger, Better, Faster: Human-level Atari with human-level efficiency		0		Aaron C. Courville, Johan S. ObandoCeron, Marc G. Bellemare, Max Schwarzer, Pablo Samuel Castro, Rishabh Agarwal
1260		Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning		0		Antonio Sclocchi, Mario Geiger, Matthieu Wyart
1261		A Fast Optimistic Method for Monotone Variational Inequalities		0		DangKhoa Nguyen, Michael Sedlmayer, Radu Ioan Bot
1262		Double-Weighting for Covariate Shift Adaptation		0		Anqi Liu, José Ignacio SegoviaMartín, Santiago Mazuelas
1263		Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language		0		Andreu Vall, Günter Klambauer, Philipp Seidl, Sepp Hochreiter
1264		Variational Autoencoding Neural Operators		0		George J. Pappas, Georgios Kissas, Jacob H. Seidman, Paris Perdikaris
1265		Neural Markov Jump Processes		0		Patrick Seifner, Ramsés J. Sánchez
1266		Bayesian online change point detection with Hilbert space approximate Student-t process		0		Jeremy Sellier, Petros Dellaportas
1267		Incentivizing Exploration with Linear Contexts and Combinatorial Actions		0		Mark Sellke
1268		Explainability as statistical inference		0		Damien Garreau, Hugo Henri Joseph Senetaire, Jes Frellsen, PierreAlexandre Mattei
1269		Multi-View Masked World Models for Visual Robotic Manipulation		0		Jinwoo Shin, Junsu Kim, Kimin Lee, Pieter Abbeel, Stephen James, Younggyo Seo
1270		One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding		0		Alireza Makhzani, Ashish J. Khisti, Daniel Severo, James Townsend
1271		ModelDiff: A Framework for Comparing Learning Algorithms		0		Aleksander Madry, Andrew Ilyas, Harshay Shah, Sung Min Park
1272		Auxiliary Learning as an Asymmetric Bargaining Game		0		Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Kenji Kawaguchi, Neta Glazer
1273		Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models		0		Minlie Huang, Nan Duan, Weizhu Chen, Yelong Shen, Yeyun Gong, Zhihong Shao
1274		Complementary Attention for Multi-Agent Reinforcement Learning		0		Chang Liu, Hongchang Zhang, Jianzhun Shao, Shuncheng He, Xiangyang Ji, Yuhang Jiang, Yun Qu
1275		Regularization-free Diffeomorphic Temporal Alignment Nets		0		Oren Freifeld, Ron Shapira Weber
1276		Toward Efficient Gradient-Based Value Estimation		0		Arsalan Sharifnassab, Richard S. Sutton
1277		Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates		0		Christopher Nemeth, Louis Sharrock
1278		On Kinetic Optimal Probability Paths for Generative Models		0		Matthew Le, Maximilian Nickel, Neta Shaul, Ricky T. Q. Chen, Yaron Lipman
1279		Sequential Changepoint Detection via Backward Confidence Sequences		0		Aaditya Ramdas, Shubhanshu Shekhar
1280		Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator		0		Alexander Shekhovtsov
1281		Towards Understanding and Improving GFlowNet Training		0		Andreas Loukas, Ehsan Hajiramezanali, Emmanuel Bengio, Kyunghyun Cho, Max W. Shen, Tommaso Biancalani
1282		On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation		0		Gregory W. Wornell, Maohao Shen, Yuheng Bu
1283		On Penalty-based Bilevel Gradient Descent Method		0		Han Shen, Tianyi Chen
1284		Non-autoregressive Conditional Diffusion Models for Time Series Prediction		0		James T. Kwok, Lifeng Shen
1285		Cross-Modal Fine-Tuning: Align then Refine		0		Ameet Talwalkar, Corey Staten, Graham Neubig, Junhong Shen, Liam Li, Lucio M. Dery, Mikhail Khodak
1286		Auxiliary Modality Learning with Generalized Curriculum Distillation		0		Ming C. Lin, Peng Gao, Xijun Wang, Yu Shen
1287		TGRL: An Algorithm for Teacher Guided Reinforcement Learning		0		Aviv Tamar, Idan Shenfeld, Pulkit Agrawal, ZhangWei Hong
1288		FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU		0		Beidi Chen, Binhang Yuan, Ce Zhang, Christopher Ré, Ion Stoica, Lianmin Zheng, Max Ryabinin, Percy Liang, Ying Sheng, Zhuohan Li
1289		Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation		0		Tomer Koren, Uri Sherman, Yishay Mansour
1290		Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods		0		Aleksandr Shevchenko, Hamed Hassani, Kevin Kögler, Marco Mondelli
1291		Large Language Models Can Be Easily Distracted by Irrelevant Context		0		David Dohan, Denny Zhou, Ed H. Chi, Freda Shi, Kanishka Misra, Nathan Scales, Nathanael Schärli, Xinyun Chen
1292		Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval		0		Bo Zhao, Hui Shi, Jishen Zhao, Sicun Gao, Yitong Zhou, Yupeng Gu
1293		A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints		0		Ming Shi, Ness B. Shroff, Yingbin Liang
1294		Improving the Model Consistency of Decentralized Federated Learning		0		Bo Yuan, Dacheng Tao, Kang Wei, Li Shen, Xueqian Wang, Yan Sun, Yifan Shi
1295		UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers		0		Chaofan Tao, Chun Yuan, Dachuan Shi, Jiaqi Wang, Ying Jin, Zhendong Yang
1296		Sequence Modeling with Multiresolution Convolutional Memory		0		Emily B. Fox, Jiaxin Shi, Ke Alexander Wang
1297		Statistical Inference on Multi-armed Bandits with Delayed Feedback		0		Jingshen Wang, Lei Shi, Tianhao Wu
1298		Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources		0		Chengshuai Shi, Cong Shen, Jing Yang, Wei Xiong
1299		On the Complexity of Bayesian Generalization		0		John E. Hopcroft, Joshua B. Tenenbaum, Kun He, Manjie Xu, SongChun Zhu, Wenjuan Han, Ying Nian Wu, Yixin Zhu, YuZhe Shi
1300		Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective		0		Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan, Liangliang Shi
1301		Long Horizon Temperature Scaling		0		Andy Shih, Dorsa Sadigh, Stefano Ermon
1302		Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space		0		Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
1303		SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning		0		Dongseok Shim, H. Jin Kim, Seungjae Lee
1304		A Closer Look at the Intervention Procedure of Concept Bottleneck Models		0		Namhoon Lee, Sungbin Shin, Sungsoo Ahn, Yohan Jo
1305		MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement		0		Byung Hoon Lee, Hyun Joon Park, Jin Sob Kim, Sung Won Han, Wooseok Shin
1306		Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis		0		Changyeol Lee, Gukryeol Lee, HyungChan An, Yongho Shin
1307		One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill		0		Daehee Lee, Honguk Woo, Minjong Yoo, Sangwoo Shin, Woo Kyung Kim
1308		Context Consistency Regularization for Label Sparsity in Time Series		0		Byung Suk Lee, Byunghyun Kim, Dongmin Park, Hwanjun Song, JaeGil Lee, Susik Yoon, Yooju Shin
1309		Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting		0		Mark Crowley, Oliver Schulte, Shayan Shirahmad Gale Bagi, Zahra Gharaee
1310		Exphormer: Sparse Transformers for Graphs		0		Ali Kemal Sinop, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Hamed Shirzad
1311		Synthetic data for model selection		0		Alon Shoshan, Gérard G. Medioni, Igor Kviatkovsky, Matan Fintz, Nadav Bhonker
1312		Probabilistic Attention-to-Influence Neural Models for Event Sequences		0		Debarun Bhattacharjya, Dharmashankar Subramanian, Kristin P. Bennett, Oktie Hassanzadeh, Tian Gao, Xiao Shou
1313		Causal Bounds in Quasi-Markovian Graphs		0		Garud Iyengar, Madhumitha Shridharan
1314		Repository-Level Prompt Generation for Large Language Models of Code		0		Daniel Tarlow, Disha Shrivastava, Hugo Larochelle
1315		CLIPood: Generalizing CLIP to Out-of-Distributions		0		Jialong Wu, Jianmin Wang, Mingsheng Long, Ximei Wang, Xingzhuo Guo, Yang Shu
1316		Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows		0		Phillip Si, Subham Sekhar Sahoo, Volodymyr Kuleshov, Yair Schiff, Zeyi Chen
1317		Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data		0		Ali Siahkoohi, Erwan Allys, Grégory Sainton, Maarten V. de Hoop, Rudy Morel, Taichi Kawamura
1318		Quantitative Universal Approximation Bounds for Deep Belief Networks		0		Johann Gehringer, Julian Sieber
1319		Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk		0		Chonghuan Wang, David SimchiLevi
1320		Statistical Learning under Heterogenous Distribution Shift		0		Akshay Krishnamurthy, Anurag Ajay, Max Simchowitz, Pulkit Agrawal
1321		On the Stepwise Nature of Self-Supervised Learning		0		Abraham J. Fetterman, Daniel Geisz, James B. Simon, Joshua Albrecht, Liu Ziyin, Maksis Knutins
1322		Hindsight Learning for MDPs with Exogenous Inputs		0		Adith Swaminathan, ChingAn Cheng, Felipe Vieira Frujeri, Hugo de Oliveira Barbalho, Ishai Menache, Jennifer Neville, Jingling Li, Luke Marshall, Sean R. Sinclair
1323		Text-To-4D Dynamic Scene Generation		0		Adam Polyak, Andrea Vedaldi, Devi Parikh, Filippos Kokkinos, Iurii Makarov, Justin Johnson, Naman Goyal, Oron Ashual, Shelly Sheynin, Uriel Singer, Yaniv Taigman
1324		The Hessian perspective into the Nature of Convolutional Neural Networks		0		Bernhard Schölkopf, Sidak Pal Singh, Thomas Hofmann
1325		When do Minimax-fair Learning and Empirical Risk Minimization Coincide?		0		Chris Russell, Harvineet Singh, Matthäus Kleindessner, Rumi Chunara, Volkan Cevher
1326		Differentiable Simulations for Enhanced Sampling of Rare Events		0		Johannes C. B. Dietschreit, Lukás Grajciar, Martin Sípka, Rafael GómezBombarelli
1327		Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems		0		Chawin Sitawarin, Florian Tramèr, Nicholas Carlini
1328		Invariance in Policy Optimisation and Partial Identifiability in Reward Learning		0		Adam Gleave, Alessandro Abate, Joar Max Viktor Skalse, Matthew FarrugiaRoberts, Stuart Russell
1329		A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems		0		David Henry Mguni, Jun Wang, Oliver Slumbers, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang
1330		On the Effectiveness of Offline RL for Dialogue Response Generation		0		Ethan R. Elenberg, Felix Wu, Kilian Q. Weinberger, Paloma Sodhi, Ryan McDonald
1331		Fair Densities via Boosting the Sufficient Statistics of Exponential Families		0		Alexander Soen, Hisham Husain, Richard Nock
1332		The Dormant Neuron Phenomenon in Deep Reinforcement Learning		0		Ghada Sokar, Pablo Samuel Castro, Rishabh Agarwal, Utku Evci
1333		Abstracting Imperfect Information Away from Two-Player Zero-Sum Games		0		Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown, Ryan D'Orazio, Samuel Sokota
1334		Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization		0		Hyeonah Kim, Jinkyoo Park, Jiwoo Son, Minsu Kim
1335		Consistency Models		0		Ilya Sutskever, Mark Chen, Prafulla Dhariwal, Yang Song
1336		LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control		0		Bo Cheng, Bo Zhang, Chen Chen, Jingliang Duan, Junqing Wei, Shengbo Eben Li, Wenxuan Wang, Xiaoming Simon Wang, Xujie Song
1337		Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations		0		Cairong Zhao, Guosheng Hu, Xiao Gong, Zifan Song
1338		Latent Traversals in Generative Models as Potential Flows		0		Max Welling, Nicu Sebe, T. Anderson Keller, Yue Song
1339		FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks		0		Bingqing Song, Jinfeng Yi, Mingyi Hong, Prashant Khanduri, Xinwei Zhang
1340		RGE: A Repulsive Graph Rectification for Node Classification via Influence		0		Eunho Yang, Jaeyun Song, Sungyub Kim
1341		Importance Weighted Expectation-Maximization for Protein Sequence Design		0		Lei Li, Zhenqiao Song
1342		Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability		0		Lichen Zhang, Yitan Wang, Zhao Song, Zheng Yu
1343		Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance		0		Lichen Zhang, Xin Yang, Yuanyuan Yang, Zhao Song
1344		A Nearly-Optimal Bound for Fast Regression with ℓ∞ Guarantee		0		Junze Yin, Lichen Zhang, Mingquan Ye, Zhao Song
1345		Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation		0		Arash Vahdat, Hongxu Yin, Jan Kautz, Jiaming Song, MingYu Liu, Morteza Mardani, Qinsheng Zhang, Yongxin Chen
1346		Differentiable Tree Operations Promote Compositional Generalization		0		Edward J. Hu, Jianfeng Gao, Kate McCurdy, Paul Smolensky, Paul Soulos, Roland Fernandez, Yunmo Chen
1347		Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism		0		Aude Sportisse, Charles Bouveyron, Hugo Schmutz, Olivier Humbert, PierreAlexandre Mattei
1348		Linear Causal Disentanglement via Interventions		0		Anna Seigal, Caroline Uhler, Chandler Squires, Salil S. Bhate
1349		Generating Language Corrections for Teaching Physical Control Tasks		0		Dorsa Sadigh, Megha Srivastava, Noah D. Goodman
1350		FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels		0		Alexandre Gramfort, Cédric Allain, Guillaume Staerman, Thomas Moreau
1351		Partial Optimality in Cubic Correlation Clustering		0		Bjoern Andres, David Stein, Silvia Di Gregorio
1352		MODeL: Memory Optimizations for Deep Learning		0		Benoit Steiner, Jacob Kahn, James Hegarty, Mostafa Elhoushi
1353		Improving Expert Predictions with Conformal Prediction		0		Eleni Straitouri, Lequn Wang, Manuel Gomez Rodriguez, Nastaran Okati
1354		Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers		0		Ariya Rastrow, Athanasios Mouchtaris, Brian John King, Grant P. Strimel, Martin Radfar, Yi Xie
1355		Kernel QuantTree		0		Diego Stucchi, Giacomo Boracchi, Nicolò Folloni, Paolo Rizzo
1356		Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes		0		Bjoern H. Menze, Johannes C. Paetzold, Nico Stucki, Suprosanna Shit, Ulrich Bauer
1357		Towards Robust Graph Incremental Learning on Evolving Graphs		0		Chuan Wu, Difan Zou, Junwei Su, Zijun Zhang
1358		DUET: 2D Structured and Approximately Equivariant Representations		0		Arno Blaas, Chen Huang, Dan Busbridge, Federico Danieli, Jason Ramapuram, Luca Zappella, T. Anderson Keller, Xavier Suau
1359		Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels		0		MinKook Suh, SeungWoo Seo
1360		Adversarial Learning of Distributional Reinforcement Learning		0		Fan Zhou, Hongtu Zhu, Yang Sui, Yukun Huang
1361		Distilling Internet-Scale Vision-Language Models into Embodied Agents		0		Arun Ahuja, Ishita Dasgupta, Kenneth Marino, Rob Fergus, Theodore R. Sumers
1362		Vector-Valued Control Variates		0		Alessandro Barp, FrançoisXavier Briol, Zhuo Sun
1363		MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks		0		Cees G. M. Snoek, Fan Wang, Ling Wang, Wenfang Sun, Xiantong Zhen, Yingjun Du
1364		Revisiting Sampling for Combinatorial Optimization		0		Azade Nova, Dale Schuurmans, Hanjun Dai, Haoran Sun, Katayoon Goshvadi
1365		What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings		0		Jiacheng Huang, Qijin Chen, Wei Hu, Weijun Ren, Xiaozhou Xu, Zequn Sun
1366		Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming		0		Chunlin Sun, Shang Liu, Xiaocheng Li
1367		Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis		0		Hu Sun, Meng Jin, Ward Manchester, Yang Chen, Yang Liu
1368		MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior		0		Alice Robie, Andrew Wesley Ulmer, Ann Kennedy, Brian Geuther, Catherine E. Schretter, Chao Sun, Dipam Chakraborty, Edward Hayes, Erik Werner, Heng Jia, Jennifer J. Sun, Joseph Parker, Julian Morgan Wagner, Keith Sheppard, Kristin Branson, Markus Marks, Milan Peelman, Param Uttarwar, Pietro Perona, Sebastian Oleszko, Vivek Kumar, Yisong Yue, Zachary Partridge
1369		Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape		0		Dacheng Tao, Li Shen, Liang Ding, Shixiang Chen, Yan Sun
1370		When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis		0		Yingyu Liang, Yixuan Li, Yiyou Sun, Zhenmei Shi
1371		Learning Prescriptive ReLU Networks		0		Asterios Tsiourvas, Wei Sun
1372		All in a Row: Compressed Convolution Networks for Graphs		0		Junshu Sun, Qingming Huang, Shuhui Wang, Xinzhe Han, Zhe Xue
1373		Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions		0		Bao Wang, Dongsheng Li, Qingsong Wang, Tao Sun
1374		A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification		0		Chaowei Xiao, Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao
1375		SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation		0		Jia Jia, Junliang Xing, Longhui Wei, Qi Tian, Shikun Sun
1376		A Neural PDE Solver with Temporal Stencil Modeling		0		Shinjae Yoo, Yiming Yang, Zhiqing Sun
1377		Feature Expansion for Graph Neural Networks		0		Guangyi Chen, Jiaqi Sun, Kun Zhang, Lin Zhang, Peng Xu, Yujiu Yang
1378		Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning		0		Chengxing Jia, Haoxin Lin, Jiaji Zhang, Junyin Ye, Yang Yu, Yihao Sun
1379		Inflow, Outflow, and Reciprocity in Machine Learning		0		Mukund Sundararajan, Walid Krichene
1380		When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction		0		Berk Ustun, Marzyeh Ghassemi, Vinith Menon Suriyakumar
1381		Tuning Computer Vision Models With Task Rewards		0		Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Yuge Shi
1382		Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic		0		Alec Koppel, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Dinesh Manocha, Wesley A. Suttle
1383		Tight and fast generalization error bound of graph embedding in metric space		0		Atsushi Nitanda, Atsushi Suzuki, Feng Tian, Jing Wang, Kenji Yamanishi, Taiji Suzuki
1384		Proximal Causal Learning of Conditional Average Treatment Effects		0		Erik Sverdrup, Yifan Cui
1385		Inverse Reinforcement Learning without Reinforcement Learning		0		David Wu, Drew Bagnell, Gokul Swamy, Sanjiban Choudhury, Zhiwei Steven Wu
1386		Von Mises Mixture Distributions for Molecular Conformation Generation		0		Eric M. Jonas, Jake Lawrence Williams, Kirk Swanson
1387		Optimal randomized multilevel Monte Carlo for repeatedly nested expectations		0		Guanyang Wang, Yasa Syed
1388		Adaptive Coordination in Social Embodied Rearrangement		0		Akshara Rai, Andrew Szot, Dhruv Batra, Ruta Desai, Unnat Jain, Zsolt Kira
1389		MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods		0		Ali Taghibakhshi, Luke N. Olson, Matthew West, Nicolas Nytko, Scott P. MacLachlan, Tareq Uz Zaman
1390		Learning Mixtures of Gaussians with Censored Data		0		Bryon Aragam, Wai Ming Tai
1391		Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input		0		Shokichi Takakura, Taiji Suzuki
1392		Learning Neural PDE Solvers with Parameter-Guided Channel Attention		0		Francesco Alesiani, Makoto Takamoto, Mathias Niepert
1393		Contextual Conservative Interleaving Bandits		0		Kei Takemura
1394		Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds		0		Masayuki Karasuyama, Shion Takeno, Yu Inatsu
1395		Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes		0		Masahiro Nomura, Masayuki Karasuyama, Shion Takeno
1396		Robust Explanation for Free or At the Cost of Faithfulness		0		Yang Tian, Zeren Tan
1397		Provably Invariant Learning without Domain Information		0		Chao Qu, Lin Yong, Peng Cui, Shengyu Zhu, Xiaoyu Tan, Xihe Qiu, Yinghui Xu, Yuan Qi
1398		Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning		0		Binhang Yuan, Chris Jermaine, Daniel Bourgeois, Dimitrije Jankov, Yuxin Tang, Zhimin Ding
1399		Regret-Minimizing Double Oracle for Extensive-Form Games		0		Le Cong Dinh, Stephen Marcus McAleer, Xiaohang Tang, Yaodong Yang
1400		From Perception to Programs: Regularize, Overparameterize, and Amortize		0		Hao Tang, Kevin Ellis
1401		Understanding Self-Predictive Learning for Reinforcement Learning		0		András György, Bernardo Ávila Pires, Bilal Piot, Charline Le Lan, Clare Lyle, Daniele Calandriello, Mark Rowland, Michal Valko, Mohammad Gheshlaghi Azar, Pierre Harvey Richemond, Rémi Munos, Shantanu Thakoor, Will Dabney, Yash Chandak, Yunhao Tang, Zhaohan Daniel Guo
1402		DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm		0		Anna Harutyunyan, Bernardo Ávila Pires, Mark Rowland, Michal Valko, Rémi Munos, Tadashi Kozuno, Yunhao Tang
1403		Towards Understanding Generalization of Graph Neural Networks		0		Huayi Tang, Yong Liu
1404		Towards a better understanding of representation dynamics under TD-learning		0		Rémi Munos, Yunhao Tang
1405		VA-learning as a more efficient alternative to Q-learning		0		Mark Rowland, Michal Valko, Rémi Munos, Yunhao Tang
1406		Defects of Convolutional Decoder Networks in Frequency Representation		0		Ling Tang, Quanshi Zhang, Wen Shen, Yuefeng Chen, Zhanpeng Zhou
1407		Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding		0		Caizhi Tang, Huiyuan Wang, Jun Zhou, Longfei Li, Qing Cui, Xinyu Li
1408		End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization		0		Masahiro Suzuki, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo
1409		POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models		0		Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou, Pengcheng He, Shujian Zhang
1410		Dual Focal Loss for Calibration		0		Chang Xu, Linwei Tao, Minjing Dong
1411		Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization		0		Hao Su, Stone Tao, Tongzhou Mu, Xiaochen Li, Yuzhe Qin, Zhiao Huang
1412		Data Feedback Loops: Model-driven Amplification of Dataset Biases		0		Rohan Taori, Tatsunori Hashimoto
1413		Deep Regression Unlearning		0		Ayush Kumar Tarun, Mohan S. Kankanhalli, Murari Mandal, Vikram Singh Chundawat
1414		How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control		0		J. Webster Stayman, Jacopo Teneggi, Jeremias Sulam, Matthew Tivnan
1415		Concurrent Shuffle Differential Privacy Under Continual Observation		0		Haim Kaplan, Jay Tenenbaum, Uri Stemmer, Yishay Mansour
1416		Finding Generalization Measures by Contrasting Signal and Noise		0		Bohang Zhang, Haowei He, Jiaye Teng, Ruichen Li, Yan Tian, Yang Yuan, Yequan Wang
1417		Reinforcement Learning with History Dependent Dynamic Contexts		0		Craig Boutilier, Guy Tennenholtz, Lior Shani, Martin Mladenov, Nadav Merlis
1418		PWSHAP: A Path-Wise Explanation Model for Targeted Variables		0		Christopher C. Holmes, Karla DiazOrdaz, Lucile TerMinassian, Oscar Clivio, Robin J. Evans
1419		On the Estimation of Gaussian Mixture Copula Models		0		Ashutosh Tewari
1420		Target-Aware Generative Augmentations for Single-Shot Adaptation		0		Jayaraman J. Thiagarajan, Kowshik Thopalli, Pavan K. Turaga, Rakshith Subramanyam
1421		ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models		0		Jiwei Zhao, Qinglong Tian, Xin Zhang
1422		Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes		0		Louis C. Tiao, Victor Picheny, Vincent Dutordoir
1423		Fast Rates for Maximum Entropy Exploration		0		Alexey Naumov, Daniele Calandriello, Daniil Tiapkin, Denis Belomestny, Eric Moulines, Michal Valko, Pierre Ménard, Pierre Perrault, Rémi Munos, Yunhao Tang
1424		Margin-based sampling in high dimensions: When being active is less efficient than staying passive		0		Alexandru Tifrea, Fanny Yang, Jacob Clarysse
1425		Differentiable Multi-Target Causal Bayesian Experimental Design		0		Adam Foster, Andrew Jesson, Desi R. Ivanova, Panagiotis Tigas, Stefan Bauer, Yarin Gal, Yashas Annadani
1426		PCA-based Multi-Task Learning: a Random Matrix Approach		0		Frédéric Pascal, Malik Tiomoko, Romain Couillet
1427		Perturbation Analysis of Neural Collapse		0		Haoxiang Huang, Jonathan NilesWeed, Tom Tirer
1428		Overcoming Simplicity Bias in Deep Networks using a Feature Sieve		0		Pradeep Shenoy, Rishabh Tiwari
1429		Beyond In-Domain Scenarios: Robust Density-Aware Calibration		0		Christian Tomani, Daniel Cremers, Futa Kai Waseda, Yuesong Shen
1430		Distribution Free Domain Generalization		0		He Li, Jialin Ding, Peifeng Tong, Song Xi Chen, Wu Su, Zhan Haoxiang
1431		Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms		0		Alex Lambert, Francesco Tonin, Johan A. K. Suykens, Panagiotis Patrinos
1432		Robust Weak Supervision with Variational Auto-Encoders		0		Francesco Tonolini, Gabriella Kazai, Nikolaos Aletras, Yunlong Jiao
1433		Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes		0		BaHien Tran, Babak Shahbaba, Maurizio Filippone, Stephan Mandt
1434		Discrete Key-Value Bottleneck		0		Anirudh Goyal, Bernhard Schölkopf, Frederik Träuble, Kenji Kawaguchi, Michael Curtis Mozer, Nasim Rahaman, Yoshua Bengio
1435		Mimetic Initialization of Self-Attention Layers		0		Asher Trockman, J. Zico Kolter
1436		Representer Point Selection for Explaining Regularized High-dimensional Models		0		ChePing Tsai, ChoJui Hsieh, Eli Chien, HsiangFu Yu, Jiong Zhang, Pradeep Kumar Ravikumar
1437		Expected Gradients of Maxout Networks and Consequences to Parameter Initialization		0		Guido Montúfar, Hanna Tseran
1438		Provable Data Subset Selection For Efficient Neural Networks Training		0		Alaa Maalouf, Dan Feldman, Daniela Rus, Murad Tukan, Samson Zhou, Vladimir Braverman
1439		Jump-Start Reinforcement Learning		0		Banghua Zhu, Chuyuan Fu, Cong Ma, Ikechukwu Uchendu, Jiantao Jiao, Joséphine Simon, Karol Hausman, Matthew Bennice, Mengyuan Yan, Sergey Levine, Ted Xiao, Yao Lu
1440		Submodular Order Functions and Assortment Optimization		0		Rajan Udwani
1441		Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings		0		Ayush Sekhari, Jason D. Lee, Masatoshi Uehara, Nathan Kallus, Wen Sun
1442		From Adaptive Query Release to Machine Unlearning		0		Enayat Ullah, Raman Arora
1443		Private Federated Learning with Autotuned Compression		0		Christopher A. ChoquetteChoo, Enayat Ullah, Peter Kairouz, Sewoong Oh
1444		The Monge Gap: A Regularizer to Learn All Transport Maps		0		Marco Cuturi, Théo Uscidda
1445		Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm		0		Adrien Vacher, FrançoisXavier Vialard
1446		Random Grid Neural Processes for Parametric Partial Differential Equations		0		Arnaud Vadeboncoeur, Fehmi Cirak, Ieva Kazlauskaite, Mark Girolami, Yanni Papandreou, Ömer Deniz Akyildiz
1447		Delayed Feedback in Kernel Bandits		0		Alberto Bernacchia, Ciara PikeBurke, Danyal Ahmed, Sattar Vakili
1448		Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data		0		Boris van Breugel, Mihaela van der Schaar, Zhaozhi Qian
1449		Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts		0		Ciara PikeBurke, Dirk van der Hoeven, Hao Qiu, Nicolò CesaBianchi
1450		Causal Isotonic Calibration for Heterogeneous Treatment Effects		0		Alex Luedtke, Ernesto UlloaPérez, Lars van der Laan, Marco Carone
1451		Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time		0		Alicia Curth, Mihaela van der Schaar, Toon Vanderschueren, Wouter Verbeke
1452		Best Arm Identification in Multi-Agent Multi-Armed Bandits		0		Alexandre Proutière, Filippo Vannella, Jaeseong Jeong
1453		Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models		0		Abhijeet Awasthi, Harshit Varma, Sunita Sarawagi
1454		Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs		0		Nate Veldt
1455		Fast (1+ε)-Approximation Algorithms for Binary Matrix Factorization		0		Ameya Velingker, David P. Woodruff, Maximilian Vötsch, Samson Zhou
1456		The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms		0		Aarti Singh, Anirudh Vemula, Drew Bagnell, Sanjiban Choudhury, Yuda Song
1457		Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs		0		Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco, Sara Venturini
1458		Multi-Environment Pretraining Enables Transfer to Action Limited Datasets		0		David Venuto, Doina Precup, Igor Mordatch, Ofir Nachum, Pieter Abbeel, Sherry Yang
1459		AbODE: Ab initio antibody design using conjoined ODEs		0		Markus Heinonen, Vikas Garg, Yogesh Verma
1460		TabLeak: Tabular Data Leakage in Federated Learning		0		Dimitar Iliev Dimitrov, Mark Vero, Martin T. Vechev, Mislav Balunovic
1461		Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single		0		Paul Vicol
1462		Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models		0		Alexandre Tachard Passos, Luke Vilnis, Patrick Murray, Sumit Sanghai, Yury Zemlyanskiy
1463		Eventual Discounting Temporal Logic Counterfactual Experience Replay		0		Abhinav Verma, Cameron Voloshin, Yisong Yue
1464		Transformers Learn In-Context by Gradient Descent		0		Alexander Mordvintsev, Andrey Zhmoginov, Ettore Randazzo, Eyvind Niklasson, Johannes von Oswald, João Sacramento, Max Vladymyrov
1465		Topological Singularity Detection at Multiple Scales		0		Bastian Rieck, Julius von Rohrscheidt
1466		Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints		0		Matthias Hein, Václav Vorácek
1467		Vector Quantized Wasserstein Auto-Encoder		0		Chuanxia Zheng, Dinh Q. Phung, He Zhao, Jianfei Cai, Long Tung Vuong, Mehrtash Harandi, Trung Le
1468		Competitive Gradient Optimization		0		Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli
1469		On Provable Copyright Protection for Generative Models		0		Boaz Barak, Nikhil Vyas, Sham M. Kakade
1470		Leveraging Offline Data in Online Reinforcement Learning		0		Aldo Pacchiano, Andrew Wagenmaker
1471		Fast Private Kernel Density Estimation via Locality Sensitive Quantization		0		Nina Mishra, Tal Wagner, Yonatan Naamad
1472		Investigating the Role of Model-Based Learning in Exploration and Transfer		0		Ankesh Anand, Eszter Vértes, Gabriel DulacArnold, Jacob C. Walker, Jessica B. Hamrick, Theophane Weber, Yazhe Li
1473		UPSCALE: Unconstrained Channel Pruning		0		Alvin Wan, David Güera, Hanxiang Hao, Kaushik Patnaik, Omer Hadad, Qi Shan, Yueyang Xu, Zhile Ren
1474		Poisoning Language Models During Instruction Tuning		0		Alexander Wan, Dan Klein, Eric Wallace, Sheng Shen
1475		SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models		0		DeChuan Zhan, Minghao Shao, Ruying Chen, Shenghua Wan, Yucen Wang
1476		Multiplier Bootstrap-based Exploration		0		Branislav Kveton, Haoyu Wei, Rui Song, Runzhe Wan
1477		Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits		0		Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang, Zongqi Wan
1478		Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits		0		Chen Wang
1479		Improved Active Multi-Task Representation Learning via Lasso		0		Kevin Jamieson, Simon Shaolei Du, Yifang Chen, Yiping Wang
1480		Tilted Sparse Additive Models		0		Dacheng Tao, Fengxiang He, Hong Chen, Tieliang Gong, Weifeng Liu, Yingjie Wang, Youcheng Fu
1481		From Hypergraph Energy Functions to Hypergraph Neural Networks		0		David Wipf, Quan Gan, Xipeng Qiu, Xuanjing Huang, Yuxin Wang
1482		A Closer Look at Self-Supervised Lightweight Vision Transformers		0		Jin Gao, Shaoru Wang, Weiming Hu, Xiaoqin Zhang, Zeming Li
1483		PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search		0		Ce Ge, Haibin Wang, Hesen Chen, Xiuyu Sun
1484		Adversarial Policies Beat Superhuman Go AIs		0		Adam Gleave, Joseph Miller, Kellin Pelrine, Michael D. Dennis, Nora Belrose, Sergey Levine, Stuart Russell, Tom Tseng, Tony Tong Wang, Viktor Pogrebniak, Yawen Duan
1485		On Regularization and Inference with Label Constraints		0		Dan Roth, Hangfeng He, Kaifu Wang, Piyush Kumar, Tin D. Nguyen
1486		Policy Gradient in Robust MDPs with Global Convergence Guarantee		0		Chin Pang Ho, Marek Petrik, Qiuhao Wang
1487		Adaptive Smoothing Gradient Learning for Spiking Neural Networks		0		Huajin Tang, Rui Yan, Runhao Jiang, Shuang Lian, Ziming Wang
1488		CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling		0		Caihua Shan, Dongqi Han, Dongsheng Li, Kaitao Song, Kan Ren, Xinyang Jiang, Xufang Luo, Yansen Wang, Yifei Shen
1489		Generalized Polyak Step Size for First Order Optimization with Momentum		0		Mikael Johansson, Tong Zhang, Xiaoyu Wang
1490		Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR		0		Kaiwen Wang, Nathan Kallus, Wen Sun
1491		FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization		0		Bolin Ding, Ce Zhang, Weirui Kuang, Yaliang Li, Zhen Wang
1492		A/B Testing in Network Data with Covariate-Adaptive Randomization		0		Feifang Hu, Jialu Wang, Ping Li
1493		Learning Belief Representations for Partially Observable Deep RL		0		Andrew C. Li, Andrew Wang, Rodrigo Toro Icarte, Sheila A. McIlraith, Toryn Q. Klassen
1494		Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap		0		Hang Wang, Junshan Zhang, Sen Lin
1495		Slot-VAE: Object-Centric Scene Generation with Slot Attention		0		Justin Dauwels, Letao Liu, Yanbo Wang
1496		DIVISION: Memory Efficient Training via Dual Activation Precision		0		Guanchu Wang, Na Zou, Ninghao Liu, Xia Ben Hu, Zhimeng Jiang, Zirui Liu
1497		CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks		0		Beidi Chen, Binhang Yuan, Ce Zhang, Christopher De Sa, Christopher Ré, Jue Wang, Percy Liang, Yucheng Lu
1498		Magneto: A Foundation Transformer		0		Alon Benhaim, Barun Patra, Furu Wei, Hongyu Wang, Li Dong, Payal Bajaj, Saksham Singhal, Shaohan Huang, Shuming Ma, Vishrav Chaudhary, Wenhui Wang, Xia Song, Yu Wu, Zhiliang Peng, Zhun Liu
1499		Direct Parameterization of Lipschitz-Bounded Deep Networks		0		Ian R. Manchester, Ruigang Wang
1500		Tighter Information-Theoretic Generalization Bounds from Supersamples		0		Yongyi Mao, Ziqiao Wang
1501		NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation		0		Daniela Massiceti, Jianfeng Wang, Thomas Lukasiewicz, Vladimir Pavlovic, Xiaolin Hu
1502		GC-Flow: A Graph-Based Flow Network for Effective Clustering		0		Farzaneh Mirzazadeh, Jie Chen, Tianchun Wang, Xiang Zhang
1503		Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation		0		Chendi Ge, Hong Chen, Wenwu Zhu, Xin Wang, Yuwei Zhou, Zirui Pan
1504		Data Efficient Neural Scaling Law via Model Reusing		0		Peihao Wang, Rameswar Panda, Zhangyang Wang
1505		Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery		0		Deep Shankar Pandey, Dingrong Wang, Ervine Zheng, Krishna Prasad Neupane, Qi Yu, Zhi Zheng, Zhiwei Yu
1506		Active Learning based Structural Inference		0		Aoran Wang, Jun Pang
1507		Better Diffusion Models Further Improve Adversarial Training		0		Chao Du, Min Lin, Shuicheng Yan, Tianyu Pang, Weiwei Liu, Zekai Wang
1508		Polarity Is All You Need to Learn and Transfer Faster		0		Ali Geisa, Eric W. Bridgeford, Joshua T. Vogelstein, Michael Alan Powell, Qingyang Wang
1509		Projected Tensor Power Method for Hypergraph Community Recovery		0		Anthony ManCho So, Jinxin Wang, Peng Wang, Xiaolu Wang, YuenMan Pun
1510		Estimating Possible Causal Effects with Latent Variables via Adjustment		0		Tian Qin, TianZuo Wang, ZhiHua Zhou
1511		InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models		0		Aaron Gokaslan, Christopher De Sa, Fei Wang, Volodymyr Kuleshov, Weishen Pan, Yair Schiff, Yingheng Wang
1512		A Robust Test for the Stationarity Assumption in Sequential Decision Making		0		Chengchun Shi, Jitao Wang, Zhenke Wu
1513		GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models		0		Congjie He, Hanjing Wang, Jun Wang, Luo Mai, ManKit Sit, Weinan Zhang, Yaodong Yang, Ying Wen
1514		Effective and Efficient Structural Inference with Reservoir Computing		0		Aoran Wang, Jun Pang, Tsz Pan Tong
1515		Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning		0		Amy Zhang, Antonio Torralba, Phillip Isola, Tongzhou Wang
1516		Model-Free Robust Average-Reward Reinforcement Learning		0		Alvaro Velasquez, Ashley PraterBennette, George K. Atia, Shaofeng Zou, Yue Wang
1517		Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy		0		Furong Huang, Ruonan Jia, Wichayaporn Wongkamjan, Xiyao Wang
1518		Learning to Bid in Repeated First-Price Auctions with Budgets		0		Qian Wang, Xiaotie Deng, Yuqing Kong, Zongjun Yang
1519		Network Effects in Performative Prediction Games		0		ChungYiu Yau, HoiTo Wai, Xiaolu Wang
1520		Robustly Learning a Single Neuron via Sharpness		0		Ilias Diakonikolas, Jelena Diakonikolas, Nikos Zarifis, Puqian Wang
1521		DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning		0		Jennifer G. Dy, Stratis Ioannidis, Yanzhi Wang, Yifan Gong, Yucai Shao, Zheng Zhan, Zifeng Wang
1522		Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments		0		Chao Huang, Qi Zhu, Ruochen Jiao, Simon Sinong Zhan, Wanxin Jin, Yixuan Wang, Zhaoran Wang, Zhilu Wang, Zhuoran Yang
1523		LinSATNet: The Positive Linear Satisfiability Neural Networks		0		Junchi Yan, Runzhong Wang, Tianyi Chen, Xiaokang Yang, Yunhao Zhang, Ziao Guo
1524		Offline Meta Reinforcement Learning with In-Distribution Online Adaptation		0		Chongjie Zhang, Haozhe Jiang, Jianhao Wang, Jin Zhang, Junyu Zhang, Liwei Wang
1525		Reachability-Aware Laplacian Representation in Reinforcement Learning		0		Bryan Hooi, Jiashi Feng, Kaixin Wang, Kuangqi Zhou, Xinchao Wang
1526		PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient		0		Daquan Zhou, Jiashi Feng, Kaixin Wang, Shie Mannor
1527		On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs		0		Hengrui Cai, Richard A. Watson, Rui Song, Samuel A. McLean, Xinming An
1528		Nonparametric Extensions of Randomized Response for Private Confidence Sets		0		Aaditya Ramdas, Ian WaudbySmith, Zhiwei Steven Wu
1529		Global optimality for Euclidean CCCP under Riemannian convexity		0		Melanie Weber, Suvrit Sra
1530		A Universal Unbiased Method for Classification from Aggregate Observations		0		Bo Han, Gang Niu, Heng Tao Shen, Lei Feng, Tongliang Liu, Xiaofeng Zhu, Zixi Wei
1531		NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning		0		Jingrui He, Tianxin Wei, Yifan Chen, Zeming Guo
1532		Boosting Graph Contrastive Learning via Graph Contrastive Saliency		0		Bing Bai, Chunyu Wei, David Brady, Kai Ni, Lu Fang, Yu Wang
1533		Set-membership Belief State-based Reinforcement Learning for POMDPs		0		Huizhong Song, Jiye Liang, Lijun Zhang, Lin Li, Wei Wei
1534		Mitigating Memorization of Noisy Labels by Clipping the Model Prediction		0		Bo An, Gang Niu, Hongxin Wei, Huiping Zhuang, Lei Feng, Renchunzi Xie, Yixuan Li
1535		Graphically Structured Diffusion Models		0		Christian Dietrich Weilbach, Frank Wood, William Harvey
1536		Expectation-Complete Graph Representations with Homomorphisms		0		Fabian Jogl, Maximilian Thiessen, Pascal Welke, Thomas Gärtner
1537		A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging		0		Jeffrey Wen, Philip Schniter, Rizwan Ahmad
1538		Optimizing Mode Connectivity for Class Incremental Learning		0		Haitao Wen, Haoyang Cheng, Heqian Qiu, Hongliang Li, Lanxiao Wang, Lili Pan
1539		Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks		0		Kaichun Mo, Leonidas J. Guibas, Ruoxi Shi, Yanchao Yang, Yijia Weng
1540		Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization		0		Ang Li, Xitong Yang, YuGang Jiang, Zejia Weng, Zuxuan Wu
1541		Fully-Adaptive Composition in Differential Privacy		0		Aaditya Ramdas, Justin Whitehouse, Ryan Rogers, Steven Wu
1542		Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation		0		Bruno Andreis, Jeffrey Willette, Juho Lee, Kenji Kawaguchi, Seanie Lee, Sung Ju Hwang
1543		Flexible Phase Dynamics for Bio-Plausible Contrastive Learning		0		Colin Bredenberg, Ezekiel Williams, Guillaume Lajoie
1544		Approximate Stein Classes for Truncated Density Estimation		0		Daniel J. Williams, Song Liu
1545		Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables		0		Benedict Clark, Leo Kieslich, Rick Wilming, Stefan Haufe
1546		Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations		0		David Wipf
1547		Uncertainty Estimation for Molecules: Desiderata and Methods		0		Bertrand Charpentier, Mohamed Amine Ketata, Nicholas Gao, Stephan Günnemann, Tom Wollschläger
1548		The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond		0		Gauri Joshi, Jiin Woo, Yuejie Chi
1549		Learning Deep Time-index Models for Time Series Forecasting		0		Akshat Kumar, Chenghao Liu, Doyen Sahoo, Gerald Woo, Steven C. H. Hoi
1550		Sharper Bounds for ℓp Sensitivity Sampling		0		David P. Woodruff, Taisuke Yasuda
1551		Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy		0		Blake E. Woodworth, Francis R. Bach, Konstantin Mishchenko
1552		SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning		0		Bowen Shi, Junran Wu, Ke Xu, Shangzhe Li, Xueyuan Chen
1553		Causal Proxy Models for Concept-based Model Explanations		0		Amir Zur, Atticus Geiger, Christopher Potts, Karel D'Oosterlinck, Zhengxuan Wu
1554		Effective Neural Topic Modeling with Embedding Clustering Regularization		0		Anh Tuan Luu, Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong
1555		Adaptive Compositional Continual Meta-Learning		0		Bin Wu, Jinyuan Fang, Qiang Zhang, Shangsong Liang, Xiangxiang Zeng
1556		Anchor Sampling for Federated Learning with Partial Client Participation		0		Feijie Wu, Jing Gao, Shiqi He, Song Guo, Zhihao Qu, Ziming Liu
1557		Solving High-Dimensional PDEs with Latent Spectral Models		0		Haixu Wu, Huakun Luo, Jianmin Wang, Mingsheng Long, Tengge Hu
1558		A Law of Robustness beyond Isoperimetry		0		Heng Huang, Hongyang Zhang, Yihan Wu
1559		Uncovering Adversarial Risks of Test-Time Adaptation		0		Feiran Jia, Jiachen T. Wang, Prateek Mittal, Saeed Mahloujifar, Tong Wu, Vikash Sehwag, Xiangyu Qi
1560		Stable Estimation of Heterogeneous Treatment Effects		0		Anpeng Wu, Bo Li, Fei Wu, Kun Kuang, Ruoxuan Xiong
1561		Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching		0		Dragomir Radev, Fang Wu, Siyuan Li, Stan Z. Li, Xurui Jin, Yinghui Jiang, Zhangming Niu
1562		Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases		0		Cheng Li, Reza Yazdani Aminabadi, Xiaoxia Wu, Yuxiong He, Zhewei Yao
1563		Towards Understanding Generalization of Macro-AUC in Multi-label Learning		0		Chongxuan Li, Guoqiang Wu, Yilong Yin
1564		Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs		0		Haitao Lin, Lirong Wu, Stan Z. Li, Yufei Huang
1565		Delay-agnostic Asynchronous Coordinate Update Algorithm		0		Changxin Liu, Mikael Johansson, Sindri Magnússon, Xuyang Wu
1566		Masked Trajectory Models for Prediction, Representation, and Control		0		Aravind Rajeswaran, Arjun Majumdar, Igor Mordatch, Kevin Stone, Philipp Wu, Pieter Abbeel, Yixin Lin
1567		Disentangled Multi-Fidelity Deep Bayesian Active Learning		0		Dongxia Wu, Matteo Chinazzi, Rose Yu, Ruijia Niu, YiAn Ma
1568		Tight Data Access Bounds for Private Top-k Selection		0		Anthony Wirth, Hao Wu, Olga Ohrimenko
1569		The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent		0		Lei Wu, Weijie J. Su
1570		Distributional Offline Policy Evaluation with Predictive Error Guarantees		0		Masatoshi Uehara, Runzhe Wu, Wen Sun
1571		π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation		0		Chengyue Wu, Ping Luo, Ruisong Zhou, Teng Wang, Ying Shan, Yixiao Ge, Zeyu Lu
1572		Learning Functional Distributions with Private Labels		0		Ananth Grama, Changlong Wu, Wojciech Szpankowski, Yifan Wang
1573		QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms		0		Ge Yan, Junchi Yan, Kaisen Pan, Wenjie Wu, Xudong Lu
1574		Discover and Cure: Concept-aware Mitigation of Spurious Correlation		0		James Zou, Linjun Zhang, Mert Yüksekgönül, Shirley Wu
1575		On the Training Instability of Shuffling SGD with Batch Normalization		0		Chulhee Yun, David Xing Wu, Suvrit Sra
1576		dugMatting: Decomposed-Uncertainty-Guided Matting		0		Changqing Zhang, Huazhu Fu, Jiawei Wu, Joey Tianyi Zhou, Xi Peng, Zuoyong Li
1577		Personalized Federated Learning under Mixture of Distributions		0		Dawei Zhou, Haifeng Chen, Quanquan Gu, Shuaicheng Zhang, Wei Cheng, Wenchao Yu, Yanchi Liu, Yue Wu
1578		Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards		0		Di Wang, Sayak Ray Chowdhury, Xingyu Zhou, Yulian Wu
1579		Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron		0		Difan Zou, Jingfeng Wu, Quanquan Gu, Sham M. Kakade, Vladimir Braverman, Zixiang Chen
1580		Understanding Backdoor Attacks through the Adaptability Hypothesis		0		Ashish Kundu, Ganghua Wang, Jayanth Srinivasa, Jie Ding, Mingyi Hong, Xuan Bi, Xun Xian
1581		Fair and Optimal Classification via Post-Processing		0		Han Zhao, Lang Yin, Ruicheng Xian
1582		UMD: Unsupervised Model Detection for X2X Backdoor Attacks		0		Bo Li, Zhen Xiang, Zidi Xiong
1583		Random Shuffle Transformer for Image Restoration		0		Hongjian Liu, Jie Xiao, Man Zhou, Xueyang Fu, ZhengJun Zha
1584		Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation		0		Kaiyi Ji, Peiyao Xiao
1585		SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models		0		Guangxuan Xiao, Hao Wu, Ji Lin, Julien Demouth, Mickaël Seznec, Song Han
1586		On the Forward Invariance of Neural ODEs		0		Chuang Gan, Daniela Rus, Mathias Lechner, Ramin M. Hasani, TsunHsuan Wang, Wei Xiao, Yutong Ban
1587		COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models		0		Bo Yuan, Jian Ren, Jinqi Xiao, Miao Yin, Xiao Zang, Yu Gong
1588		Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques		0		Pengtao Xie
1589		Future-conditioned Unsupervised Pretraining for Decision Transformer		0		Deheng Ye, Qiang Fu, Shuai Li, Yang Wei, Zhihui Xie, Zichuan Lin
1590		DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models		0		Chao Dong, Gen Li, Jiantao Zhou, Liangbin Xie, Xiangyu Chen, Xintao Wang, Ying Shan
1591		Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes		0		Chuhan Xie, Wenhao Yang, Zhihua Zhang
1592		A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment		0		Hanchen Xie, Jiageng Zhu, Jiazhi Li, Mahyar Khayatkhoei, Mohamed E. Hussein, Wael AbdAlmageed
1593		Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification		0		Bo An, Dong Xing, Gang Pan, Longtao Zheng, Pengjie Gu, Qian Zheng, Shanqi Liu, Xinrun Wang
1594		Universal Morphology Control via Contextual Modulation		0		Jacob Beck, Shimon Whiteson, Zheng Xiong
1595		Relevant Walk Search for Explaining Graph Neural Networks		0		Grégoire Montavon, KlausRobert Müller, Michael Gastegger, Ping Xiong, Shinichi Nakajima, Thomas Schnake
1596		Why do Nearest Neighbor Language Models Work?		0		Frank F. Xu, Graham Neubig, Uri Alon
1597		MixFlows: principled variational inference via mixed flows		0		Naitong Chen, Trevor Campbell, Zuheng Xu
1598		Bit Allocation using Optimization		0		Chenjian Gao, Dailan He, Han Gao, Hongwei Qin, Jingjing Liu, Jinyong Pi, Jixiang Luo, Mao Ye, Tongda Xu, YaQin Zhang, Yan Wang, Yuanyuan Wang, Ziyu Zhu
1599		Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents		0		Wenhao Xu, Xuedong He, Xuefeng Gao
1600		Probabilistic Categorical Adversarial Attack and Adversarial Training		0		Han Xu, Hui Liu, Jie Ren, Jiliang Tang, Pengfei He, Yuxuan Wan, Zitao Liu
1601		Hierarchical Neural Coding for Controllable CAD Model Generation		0		Joseph George Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Xiang Xu, Yasutaka Furukawa
1602		Efficient Sequence Transduction by Jointly Predicting Tokens and Durations		0		Boris Ginsburg, Fei Jia, Hainan Xu, He Huang, Shinji Watanabe, Somshubra Majumdar
1603		Constrained Efficient Global Optimization of Expensive Black-box Functions		0		Bratislav Svetozarevic, Colin N. Jones, Wenjie Xu, Yuning Jiang
1604		Pareto Regret Analyses in Multi-objective Multi-armed Bandit		0		Diego Klabjan, Mengfan Xu
1605		Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference		0		Bo Pang, Dehong Xu, Deqian Kong, Pascale Fung, Yan Xu, Ying Nian Wu, Ziwei Ji
1606		Quantifying the Variability Collapse of Neural Networks		0		Haoxiong Liu, Jing Xu
1607		Progressive Purification for Instance-Dependent Partial Label Learning		0		Biao Liu, Congyu Qiao, Jiaqi Lv, Ning Xu, Xin Geng
1608		PFGM++: Unlocking the Potential of Physics-Inspired Generative Models		0		Max Tegmark, Shangyuan Tong, Tommi S. Jaakkola, Yilun Xu, Yonglong Tian, Ziming Liu
1609		Geometric Latent Diffusion Models for 3D Molecule Generation		0		Alexander S. Powers, Jure Leskovec, Minkai Xu, Ron O. Dror, Stefano Ermon
1610		The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing		0		Cong Ma, Xingyu Xu, Yandi Shen, Yuejie Chi
1611		Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning		0		Hongzuo Xu, Juhui Wei, Ning Liu, Songlei Jian, Yijie Wang, Yizhou Li
1612		Competing for Shareable Arms in Multi-Player Multi-Armed Bandits		0		Bo Li, Haotian Wang, Peng Cui, Renzhe Xu, Xingxuan Zhang
1613		Sequential Predictive Conformal Inference for Time Series		0		Chen Xu, Yao Xie
1614		mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video		0		Bin Bi, Chenliang Li, Fei Huang, Guohai Xu, Haiyang Xu, Ji Zhang, Jiabo Ye, Jingren Zhou, Ming Yan, Qi Qian, Qinghao Ye, Songfang Huang, Wei Wang, Yaya Shi, Yuanhong Xu
1615		ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts		0		Jian Tang, Minghao Xu, Santiago Miret, Xinyu Yuan
1616		Bayesian Design Principles for Frequentist Sequential Learning		0		Assaf Zeevi, Yunbei Xu
1617		SLAMB: Accelerated Large Batch Training with Sparse Communication		0		Hang Xu, Jiawei Fei, Jun Huang, Mohamed Elhoseiny, Panos Kalnis, Tingwen Xie, Wenxuan Zhang, Yuchen Xie, Yuzhe Wu
1618		Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks		0		Bei Yu, Haiqin Yang, Jiaqi Sun, Lin Zhang, Peng Xu, Xuanzhou Liu, Yue Zhao
1619		An Instrumental Variable Approach to Confounded Off-Policy Evaluation		0		Chengchun Shi, Jin Zhu, Rui Song, Shikai Luo, Yang Xu
1620		Near-Optimal Quantum Coreset Construction Algorithms for Clustering		0		Shaofeng H.C. Jiang, Tongyang Li, Xiaoyu Chen, Yecheng Xue
1621		A Study on Transformer Configuration and Training Objective		0		Aixin Sun, Fuzhao Xue, Jianghai Chen, Xiaoxin He, Xiaozhe Ren, Xin Jiang, Yang You, Yongming Chen, Zangwei Zheng
1622		LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation		0		Haoyu Han, Jian Pei, MohamadAli Torkamani, Rui Xue, Xiaorui Liu
1623		Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression		0		Baharan Mirzasoleiman, Eric Gan, PinYu Chen, Siddharth Joshi, Yihao Xue
1624		Adaptive Computation with Elastic Input Sequence		0		Anurag Arnab, Fuzhao Xue, Mostafa Dehghani, Neil Houlsby, Valerii Likhosherstov, Yang You
1625		Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL		0		Ahmed Khalil, Raúl SantosRodríguez, Taku Yamagata
1626		Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation		0		Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda
1627		Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data		0		Jie Chen, PinYu Chen, Songtao Lu, Xiaodong Cui, Yangyang Xu, Yonggui Yan
1628		Temporally Consistent Transformers for Video Generation		0		Danijar Hafner, Pieter Abbeel, Stephen James, Wilson Yan
1629		Distortion and Uncertainty Aware Loss for Panoramic Depth Completion		0		Jian Yang, Jun Li, Kun Wang, Shuo Chen, Xiang Li, Zhiqiang Yan
1630		Self-Interpretable Time Series Prediction with Counterfactual Explanations		0		Hao Wang, Jingquan Yan
1631		Quantum 3D Graph Learning with Applications to Molecule Embedding		0		Ge Yan, Huaijin Wu, Junchi Yan
1632		Fast Rates in Time-Varying Strongly Monotone Games		0		Peng Zhao, YuHu Yan, ZhiHua Zhou
1633		Proper Scoring Rules for Survival Analysis		0		Hiroki Yanagisawa
1634		Behavior Contrastive Learning for Unsupervised Skill Discovery		0		Bin Zhao, Chenjia Bai, Hongyi Guo, Peng Liu, Rushuai Yang, Siyuan Li, Xuelong Li, Zhen Wang
1635		Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback		0		Junwen Yang, Yifan Feng
1636		Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering		0		Bryan Hooi, Mingqi Yang, Wenjie Feng, Yanming Shen
1637		Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees		0		Kimon Fountoulakis, Shenghao Yang
1638		Chemically Transferable Generative Backmapping of Coarse-Grained Proteins		0		Rafael GómezBombarelli, Soojung Yang
1639		Data Poisoning Attacks Against Multimodal Encoders		0		Mathias Humbert, Michael Backes, Pascal Berrang, Xinlei He, Yang Zhang, Zheng Li, Ziqing Yang
1640		Towards Sustainable Learning: Coresets for Data-efficient Deep Learning		0		Baharan Mirzasoleiman, Hao Kang, Yu Yang
1641		Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples		0		Dongyoon Yang, Insung Kong, Yongdai Kim
1642		Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics		0		Peng Li, Tianyu Pang, Yang Liu, Zonghan Yang
1643		Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning		0		Baharan Mirzasoleiman, Besmira Nushi, Hamid Palangi, Yu Yang
1644		A theory of representation learning gives a deep generalisation of kernel methods		0		Adam X. Yang, Ben Anson, Edward Milsom, Laurence Aitchison, Maxime Robeyns, Nandi Schoots
1645		Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation		0		Dongpil Shin, Hye Won Chung, Joonhyuk Yang
1646		Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations		0		Jacob Steinhardt, Wei Hu, Yongyi Yang
1647		Generative Adversarial Symmetry Discovery		0		Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
1648		Boosting Offline Reinforcement Learning with Action Preference Query		0		Gao Huang, Matthieu Gaetan Lin, Qisen Yang, Shenzhi Wang, Shiji Song
1649		Towards Controlled Data Augmentations for Active Learning		0		Gang Chen, Haobo Wang, Jianan Yang, Junbo Zhao, Sai Wu
1650		What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?		0		Chongjie Zhang, Hao Hu, Lin Yong, Rui Yang, Tong Zhang, Xiaoteng Ma
1651		Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests		0		Dahui Wang, Hongzhi You, Lingxiao Yang, RuYuan Zhang, Xiaohong Wan, Xiaohua Xie, Zonglei Zhen
1652		Change is Hard: A Closer Look at Subpopulation Shift		0		Dina Katabi, Haoran Zhang, Marzyeh Ghassemi, Yuzhe Yang
1653		Continual Task Allocation in Meta-Policy Network via Sparse Prompting		0		Guodong Long, Jing Jiang, Tianyi Zhou, Yijun Yang, Yuhui Shi
1654		Hyperbolic Representation Learning: Revisiting and Advancing		0		Irwin King, Menglin Yang, Min Zhou, Rex Ying, Yankai Chen
1655		Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?		0		Bo Han, Jun Yu, Kun Zhang, Mingming Gong, Tongliang Liu, Yu Yao, Yuxuan Du
1656		How Bad is Top-K Recommendation under Competing Content Creators?		0		Chuanhao Li, Denis Nekipelov, Fan Yao, Haifeng Xu, Hongning Wang
1657		MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks		0		Chang Su, Hang Su, Jiachen Yao, Jun Zhu, Songming Liu, Zhongkai Hao
1658		Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games		0		Batuhan Yardim, Matthieu Geist, Niao He, Semih Cayci
1659		Retrieval-Augmented Multimodal Language Modeling		0		Armen Aghajanyan, Jure Leskovec, Luke Zettlemoyer, Michihiro Yasunaga, Mike Lewis, Percy Liang, Richard James, Weijia Shi, WenTau Yih
1660		On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness		0		Haotian Ye, Liwei Wang, Simon Shaolei Du, Xiaoyu Chen
1661		Personalized Federated Learning with Inferred Collaboration Graphs		0		Fangzhao Wu, Rui Ye, Siheng Chen, Yanfeng Wang, Zhenyang Ni
1662		Compositional Exemplars for In-context Learning		0		Jiacheng Ye, Jiangtao Feng, Lingpeng Kong, Tao Yu, Zhiyong Wu
1663		Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes		0		Chenlu Ye, Quanquan Gu, Tong Zhang, Wei Xiong
1664		GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming		0		Chengming Wang, Hongyan Wang, Hua Xu, Huigen Ye, Yu Jiang
1665		FedDisco: Federated Learning with Discrepancy-Aware Collaboration		0		Chenxin Xu, Jianyu Wang, Mingkai Xu, Rui Ye, Siheng Chen, Yanfeng Wang
1666		Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver		0		Ge Yan, Junchi Yan, Xinyu Ye
1667		Temporal Label Smoothing for Early Event Prediction		0		Alizée Pace, Gunnar Rätsch, Hugo Yèche, Rita Kuznetsova
1668		From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders		0		Gal Novik, Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz
1669		Doubly Adversarial Federated Bandits		0		Jialin Yi, Milan Vojnovic
1670		Online Prototype Alignment for Few-shot Policy Transfer		0		Jiaming Guo, Kaizhao Yuan, Qi Guo, Qi Yi, Rui Zhang, Ruizhi Chen, Shaohui Peng, Siming Lan, Xing Hu, Xishan Zhang, Yunji Chen, Yunkai Gao, Zidong Du
1671		MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows		0		Mingxuan Yi, Song Liu, Zhanxing Zhu
1672		SE(3) diffusion model with application to protein backbone generation		0		Arnaud Doucet, Brian L. Trippe, Emile Mathieu, Jason Yim, Regina Barzilay, Tommi S. Jaakkola, Valentin De Bortoli
1673		CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification		0		Chong Chen, Li Shen, Long Lan, Mengzhu Wang, Nan Yin, XianSheng Hua, Xiao Luo, Zeyu Ma
1674		Adaptive Estimation of Graphical Models under Total Positivity		0		Daniel P. Palomar, Jiaxi Ying, José Vinícius de Miranda Cardoso
1675		Improving Visual Prompt Tuning for Self-supervised Vision Transformers		0		Dahuin Jung, Eunji Kim, Jungbeom Lee, Seungryong Yoo, Sungroh Yoon
1676		End-to-End Multi-Object Detection with a Regularized Mixture Model		0		Hojun Lee, Inseop Chung, Jaeyoung Yoo, Nojun Kwak, Seunghyeon Seo
1677		EM-Network: Oracle Guided Self-distillation for Sequence Learning		0		Hyeonseung Lee, Ji Won Yoon, Minchan Kim, Nam Soo Kim, Seok Min Kim, Sunghwan Ahn
1678		Continual Learners are Incremental Model Generalizers		0		Jaehong Yoon, Sung Ju Hwang, Yue Cao
1679		An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning		0		Heechul Bae, Jaesik Yoon, Sungjin Ahn, YiFu Wu
1680		Graph Generative Model for Benchmarking Graph Neural Networks		0		Bryan Perozzi, John Palowitch, Minji Yoon, Russ Salakhutdinov, Yue Wu
1681		Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels		0		Boyang Chen, Shouvanik Chakrabarti, Xiaodi Wu, Xuchen You
1682		Entropy-driven Unsupervised Keypoint Representation Learning in Videos		0		Ali Younes, Georgia Chalvatzaki, Simone SchaubMeyer
1683		The Benefits of Model-Based Generalization in Reinforcement Learning		0		Aditya A. Ramesh, Jürgen Schmidhuber, Kenny John Young, Louis Kirsch
1684		COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects		0		Anlan Yu, Jieming Yin, Ning Lyu, Wujie Wen, Zhiyuan Yan
1685		Delving into Noisy Label Detection with Clean Data		0		Chenglin Yu, Weiwei Liu, Xinsong Ma
1686		Bag of Tricks for Training Data Extraction from Language Models		0		Bingyi Kang, Chao Du, Min Lin, Qian Liu, Shuicheng Yan, Tianyu Pang, Weichen Yu, Yan Huang
1687		Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning		0		Dayou Yu, Qi Yu, Weishi Shi
1688		Long-Term Rhythmic Video Soundtracker		0		Jiashuo Yu, Xiao Sun, Xinyuan Chen, Yaohui Wang, Yu Qiao
1689		Adversarial Parameter Attack on Deep Neural Networks		0		Lijia Yu, XiaoShan Gao, Yihan Wang
1690		CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models		0		Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik, Yuhao Wu, Zhiyuan Yu
1691		SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching		0		Jiaming Xu, Liren Yu, Xiaojun Lin
1692		Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian		0		Haiyang Yu, Shuiwang Ji, Xiaofeng Qian, Xiaoning Qian, Zhao Xu
1693		On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures		0		Lei Ying, Xian Yu
1694		Actor-Critic Alignment for Offline-to-Online Reinforcement Learning		0		Xinhua Zhang, Zishun Yu
1695		Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning		0		Cheng Wan, Kaizhi Qian, Yang Zhang, Yingyan Celine Lin, Yongan Zhang, Yonggan Fu, Zhongzhi Yu
1696		Coordinate Descent Methods for Fractional Minimization		0		Ganzhao Yuan
1697		On the Power of Foundation Models		0		Yang Yuan
1698		Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning		0		Bo Li, Mingqi Yuan, Wenjun Zeng, Xin Jin
1699		Traversing Between Modes in Function Space for Fast Ensembling		0		Eunggu Yun, Giung Nam, Hyungi Lee, Juho Lee
1700		Conformal Prediction with Missing Values		0		Aymeric Dieuleveut, Julie Josse, Margaux Zaffran, Yaniv Romano
1701		KDEformer: Accelerating Transformers via Kernel Density Estimation		0		Amin Karbasi, Amir Zandieh, Insu Han, Majid Daliri
1702		Bayesian Estimation of Differential Privacy		0		Ahmed Salem, Andrew Paverd, Boris Köpf, Daniel Jones, Lukas Wutschitz, Mohammad Naseri, Santiago ZanellaBéguelin, Shruti Tople, Victor Rühle
1703		When is Realizability Sufficient for Off-Policy Reinforcement Learning?		0		Andrea Zanette
1704		On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing		0		Cyrus Shahabi, Sepanta Zeighami
1705		Sequential Counterfactual Risk Minimization		0		Eustache Diemert, Houssam Zenati, Julien Mairal, Matthieu Martin, Pierre Gaillard
1706		LookupFFN: Making Transformers Compute-lite for CPU inference		0		Karthikeyan Sankaralingam, Michael Davies, Pranav Pulijala, Vikas Singh, Zhanpeng Zeng
1707		Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise		0		Jie Shen, Shiwei Zeng
1708		Generative Graph Dictionary Learning		0		Hanghang Tong, Hanqing Zeng, Ruike Zhu, Yinglong Xia, Zhichen Zeng
1709		Stabilizing Transformer Training by Preventing Attention Entropy Collapse		0		Dan Busbridge, Etai Littwin, Jason Ramapuram, Jiatao Gu, Joshua M. Susskind, Shuangfei Zhai, Tatiana Likhomanenko, Yizhe Zhang
1710		Offline Learning in Markov Games with General Function Approximation		0		Nan Jiang, Yu Bai, Yuheng Zhang
1711		Learning useful representations for shifting tasks and distributions		0		Jianyu Zhang, Léon Bottou
1712		Nonparametric Iterative Machine Teaching		0		Chen Zhang, Ivor W. Tsang, James T. Kwok, Weiyang Liu, Xiaofeng Cao
1713		Matrix Estimation for Individual Fairness		0		Cindy Y. Zhang, Devavrat Shah, Sarah Huiyi Cen
1714		Graph Contrastive Backdoor Attacks		0		Dinghao Wu, Hangfan Zhang, Jinghui Chen, Jinyuan Jia, Lu Lin
1715		Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories		0		Mengdi Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Zixuan Zhang
1716		Tractable Control for Autoregressive Language Generation		0		Guy Van den Broeck, Honghua Zhang, Meihua Dang, Nanyun Peng
1717		CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data		0		Walter H. Dempsey, Yuhua Zhang
1718		Rethink DARTS Search Space and Renovate a New Benchmark		0		Jiuling Zhang, Zhiming Ding
1719		Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization		0		Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
1720		A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests		0		Bohang Zhang, Di He, Guhao Feng, Liwei Wang, Yiheng Du
1721		Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution		0		Chao Dong, Haoyu Chen, Jinjin Gu, Ruofan Zhang, Wenming Yang, Yulun Zhang
1722		Prompting Large Language Model for Machine Translation: A Case Study		0		Alexandra Birch, Barry Haddow, Biao Zhang
1723		On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits		0		Jiafan He, Quanquan Gu, Weitong Zhang, Zhiyuan Fan
1724		When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations		0		Chao Huang, Chunhui Zhang, Chuxu Zhang, Qianlong Wen, Yanfang Ye, Yijun Tian, Youhuan Li, Zhongyu Ouyang
1725		Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation		0		Chao Huang, Lianghao Xia, Qianru Zhang, Ruihua Han, Siu Ming Yiu, Zheng Wang
1726		Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models		0		Guanhua Zhang, Jiabao Ji, Mo Yu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang
1727		CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling		0		Jiangtao Feng, Jun Zhang, Lin Zheng, Lingpeng Kong, Shuyang Jiang
1728		Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics		0		Shenao Zhang, Wanxin Jin, Zhaoran Wang
1729		One-Step Estimator for Permuted Sparse Recovery		0		Hang Zhang, Ping Li
1730		Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions		0		Chenyi Zhang, Tongyang Li
1731		Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling		0		Linda Ruth Petzold, Shiyang Li, Xifeng Yan, Xinlu Zhang, Zhiyu Chen
1732		FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization		0		Chenglin Li, Hao Zhang, Hongkai Xiong, Junni Zou, Wenrui Dai
1733		On the Optimality of Misspecified Kernel Ridge Regression		0		Haobo Zhang, Qian Lin, Weihao Lu, Yicheng Li
1734		Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction		0		Ang Li, Changyou Chen, Fan Zhang, Hai Li, Jianyi Zhang, Jingwei Sun, Minxue Tang, Xiang Chen, Yiran Chen
1735		Learning Subpocket Prototypes for Generalizable Structure-based Drug Design		0		Qi Liu, Zaixi Zhang
1736		No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation		0		Feilong Zhang, Gang Wu, Junjun Jiang, Shiyi Lin, Xiangyang Ji, Xianming Liu, Xiong Zhou
1737		The Wisdom of Hindsight Makes Language Models Better Instruction Followers		0		Fangchen Liu, Joseph E. Gonzalez, Justin Wong, Pieter Abbeel, Tianjun Zhang
1738		Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score		0		Bo Han, Changsheng Li, Feng Liu, Jiahao Yang, Mingkui Tan, Shuhai Zhang, Yifan Yang
1739		On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network		0		Hongkai Zhao, Jianfeng Lu, Shijun Zhang
1740		Bi-directional Masks for Efficient N: M Sparse Training		0		Fei Chao, Jingjing Xie, Mingbao Lin, Rongrong Ji, Yiting Luo, Yunshan Zhong, Yuxin Zhang
1741		Towards Unbiased Training in Federated Open-world Semi-supervised Learning		0		Jie Zhang, Song Guo, Wenchao Xu, Xiaosong Ma
1742		Interactive Object Placement with Reinforcement Learning		0		Bineng Zhong, Liqiang Nie, Qinglin Liu, Quanling Meng, Rongrong Ji, Shengping Zhang, Xiaopeng Fan
1743		Optimal Shrinkage for Distributed Second-Order Optimization		0		Fangzhao Zhang, Mert Pilanci
1744		"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts		0		Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi
1745		Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation		0		Alexander Ladd, Fengxue Zhang, James C. Bowden, Jialin Song, Thomas Desautels, Yisong Yue, Yuxin Chen
1746		A Category-theoretical Meta-analysis of Definitions of Disentanglement		0		Masashi Sugiyama, Yivan Zhang
1747		On the Convergence of SARSA with Linear Function Approximation		0		Remi Tachet des Combes, Romain Laroche, Shangtong Zhang
1748		AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation		0		Kexin Jin, Kun Yuan, Liang Wang, Rong Jin, Tieniu Tan, Xue Wang, Yifan Zhang, Zhang Zhang
1749		On the Generalization of Multi-modal Contrastive Learning		0		Qi Zhang, Yifei Wang, Yisen Wang
1750		ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction		0		Alexandre Megretski, Lam M. Nguyen, Luca Daniel, Subhro Das, TsuiWei Weng, Wang Zhang
1751		Towards Trustworthy Explanation: On Causal Rationalization		0		Hengrui Cai, Tong Wu, Wenbo Zhang, Yong Cai, Yunlong Wang
1752		Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks		0		Bang Wu, He Zhang, Minhui Xue, Shirui Pan, Shuo Wang, Xiangwen Yang, Xingliang Yuan
1753		Provable Dynamic Fusion for Low-Quality Multimodal Data		0		Changqing Zhang, Haitao Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu, Qingyang Zhang, Xi Peng
1754		ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval		0		Kexun Zhang, Lei Li, William Yang Wang, Xianjun Yang
1755		Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests		0		Enhong Chen, Haoyuan Hu, Qixin Zhang, Wenbing Ye, Yu Yang, Zaiyi Chen
1756		Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection		0		Chenglong Wang, Chu Yuan Zhang, Jiangyan Yi, Jianhua Tao, Xiaohui Zhang
1757		Coder Reviewer Reranking for Code Generation		0		Daniel Fried, Mike Lewis, Sida Wang, Tao Yu, Tatsunori Hashimoto, Tianyi Zhang, WenTau Yih
1758		DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference		0		Ruqi Zhang, Wanrong Zhang
1759		Nearly-tight Bounds for Deep Kernel Learning		0		MinLing Zhang, Yifan Zhang
1760		OpenFE: Automated Feature Generation with Expert-level Performance		0		Fengyuan Liu, Haoyan Luo, Li Jian, Qian Liu, Tianping Zhang, Wei Cao, Zheyu Aqa Zhang, Zhiyuan Fan
1761		Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs		0		Junkai Zhang, Quanquan Gu, Weitong Zhang
1762		Unlocking Slot Attention by Changing Optimal Transport Costs		0		Cees G. M. Snoek, David W. Zhang, Gertjan J. Burghouts, Simon LacosteJulien, Yan Zhang
1763		Towards a Persistence Diagram that is Robust to Noise and Varied Densities		0		Hang Zhang, Kai Ming Ting, Kaifeng Zhang, Ye Zhu
1764		Robust Situational Reinforcement Learning in Face of Context Disturbances		0		Chuheng Zhang, Jiang Bian, Jinpeng Zhang, Lei Song, Li Zhao, Yuan Zhou, Yufeng Zheng
1765		Patch-level Contrastive Learning via Positional Query for Visual Pre-training		0		Fan Wang, Junchi Yan, Qiang Zhou, Shaofeng Zhang, Zhibin Wang
1766		Men Also Do Laundry: Multi-Attribute Bias Amplification		0		Alice Xiang, Dora Zhao, Jerone Theodore Alexander Andrews
1767		Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch		0		Julia Gusak, Lionel EyraudDubois, Olivier Beaumont, Théotime Le Hellard, Xunyi Zhao
1768		Revisiting Structured Variational Autoencoders		0		Scott W. Linderman, Yixiu Zhao
1769		On Pitfalls of Test-Time Adaptation		0		Alexandre Alahi, Hao Zhao, Tao Lin, Yuejiang Liu
1770		Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm		0		Boxiang Lyu, Boxin Zhao, Mladen Kolar, Raul Castro Fernandez
1771		X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion		0		Ce Liu, Dianmo Sheng, Dong Chen, Dongdong Chen, Fang Wen, Hanqing Zhao, Jianmin Bao, Lu Yuan, Nenghai Yu, Qi Chu, Weiming Zhang, Wenbo Zhou
1772		Revisiting Simple Regret: Fast Rates for Returning a Good Arm		0		Connor Stephens, Csaba Szepesvári, KwangSung Jun, Yao Zhao
1773		Transformed Distribution Matching for Missing Value Imputation		0		Amir Dezfouli, Edwin V. Bonilla, He Zhao, Ke Sun
1774		Protecting Language Generation Models via Invisible Watermarking		0		Lei Li, Xuandong Zhao, YuXiang Wang
1775		Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning		0		Jason D. Lee, Yulai Zhao, Zhaoran Wang, Zhuoran Yang
1776		Simplified Temporal Consistency Reinforcement Learning		0		Joni Pajarinen, Juho Kannala, Rinu Boney, Wenshuai Zhao, Yi Zhao
1777		RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation		0		Deli Zhao, Jingren Zhou, Kecheng Zheng, Liming Zhao, Yun Zheng
1778		Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits		0		Dongruo Zhou, Heyang Zhao, Jiafan He, Quanquan Gu
1779		Does Continual Learning Equally Forget All Parameters?		0		Chengqi Zhang, Guodong Long, Haiyan Zhao, Jing Jiang, Tianyi Zhou
1780		Online Learning in Stackelberg Games with an Omniscient Follower		0		Banghua Zhu, Geng Zhao, Jiantao Jiao, Michael I. Jordan
1781		Structure-informed Language Models Are Protein Designers		0		Dongyu Xue, Fei Ye, Quanquan Gu, Yi Zhou, Yifan Deng, Zaixiang Zheng
1782		Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories		0		Aditya Grover, Brandon Amos, Mikael Henaff, Qinqing Zheng
1783		Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs		0		Cheng Lu, Jianfei Chen, Jun Zhu, Kaiwen Zheng
1784		Fast Sampling of Diffusion Models via Operator Learning		0		Anima Anandkumar, Arash Vahdat, Hongkai Zheng, Kamyar Azizzadenesheli, Weili Nie
1785		Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation		0		Ajay Kumar Jaiswal, Dejia Xu, Kevin Wang, S. P. Sharan, Wenqing Zheng, Yihan Xi, Zhangyang Wang
1786		Revisiting Discriminative vs. Generative Classifiers: Theory and Implications		0		Chenyu Zheng, Chongxuan Li, Fan Bao, Guoqiang Wu, Jun Zhu, Yue Cao
1787		Evidential Interactive Learning for Medical Image Captioning		0		Ervine Zheng, Qi Yu
1788		Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs		0		He Zhang, Shirui Pan, Vincent ChengSiong Lee, Xiao Wang, Yizhen Zheng, Yu Zheng
1789		Multi-agent Online Scheduling: MMS Allocations for Indivisible Items		0		Rufan Bai, Shengwei Zhou, Xiaowei Wu
1790		Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration		0		Dawei Zhou, Decheng Liu, Nannan Wang, Tongliang Liu, Xinbo Gao, Yukun Chen
1791		Brainformers: Trading Simplicity for Efficiency		0		Andrew M. Dai, Chang Lan, Claire Cui, Da Huang, Daiyi Peng, David R. So, James Laudon, Jeff Dean, Nan Du, Quoc V. Le, Siamak Shakeri, Yanping Huang, Yanqi Zhou, Yifeng Lu, Zhifeng Chen
1792		Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression		0		Mo Zhou, Rong Ge
1793		ODS: Test-Time Adaptation in the Presence of Open-World Data Shift		0		Dingchu Zhang, LanZhe Guo, LinHan Jia, Yufeng Li, Zhi Zhou
1794		Fourmer: An Efficient Global Modeling Paradigm for Image Restoration		0		Chongyi Li, ChunLe Guo, Jie Huang, Man Zhou
1795		Controlled Text Generation with Natural Language Instructions		0		Ethan Wilcox, Mrinmaya Sachan, Ryan Cotterell, Wangchunshu Zhou, Yuchen Eleanor Jiang
1796		NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation		0		Shaolei Ren, Tong Zhou, Xiaolin Xu, Yukui Luo
1797		Deep Latent State Space Models for Time-Series Generation		0		Linqi Zhou, Michael Poli, Stefano Ermon, Stefano Massaroli, Winnie Xu
1798		SlotGAT: Slot-based Message Passing for Heterogeneous Graphs		0		Jieming Shi, Qing Li, Renchi Yang, Yuanhang Zou, Ziang Zhou
1799		Fast Online Node Labeling for Very Large Graphs		0		Baojian Zhou, Reza Babanezhad Harikandeh, Yifan Sun
1800		Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes		0		Runlong Zhou, Ruosong Wang, Simon Shaolei Du
1801		Phase-aware Adversarial Defense for Improving Adversarial Robustness		0		Dawei Zhou, Heng Yang, Nannan Wang, Tongliang Liu, Xinbo Gao
1802		From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks		0		Cai Zhou, Muhan Zhang, Xiyuan Wang
1803		Towards Omni-generalizable Neural Methods for Vehicle Routing Problems		0		Jianan Zhou, Jie Zhang, Wen Song, Yaoxin Wu, Zhiguang Cao
1804		A Three-regime Model of Network Pruning		0		Arin Chang, Michael W. Mahoney, Yaoqing Yang, Yefan Zhou
1805		Learning to Decouple Complex Systems		0		Tianshu Yu, Zihan Zhou
1806		ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation		0		Connor Pryor, Hongxia Jin, Kaiwen Zhou, Kaizhi Zheng, Lise Getoor, Xin Eric Wang, Yilin Shen
1807		On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation		0		Bo Han, Chenyu Zhou, Jiangchao Yao, Quanming Yao, Xuan Li, Zhanke Zhou
1808		Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments		0		Runlong Zhou, Simon Shaolei Du, Zihan Zhang
1809		Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator		0		Bang An, Furong Huang, Sanghyun Hong, Sicheng Zhu
1810		Markovian Gaussian Process Variational Autoencoders		0		Carles Balsells Rodas, Harrison Zhu, Yingzhen Li
1811		Mixture Proportion Estimation Beyond Irreducibility		0		Aaron Fjeldsted, Azaree Lintereur, Clayton Scott, Darren Holland, George Landon, Yilun Zhu
1812		Exploring Model Dynamics for Accumulative Poisoning Discovery		0		Bo Han, Chao Du, Jiangchao Yao, Jianing Zhu, Li He, Liang Wang, Shuo Yuan, Tongliang Liu, Xiawei Guo
1813		Decentralized SGD and Average-direction SAM are Asymptotically Equivalent		0		Dacheng Tao, Fengxiang He, Kaixuan Chen, Mingli Song, Tongtian Zhu
1814		Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons		0		Banghua Zhu, Jiantao Jiao, Michael I. Jordan
1815		Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability		0		Bo Han, Hengzhuang Li, Jiangchao Yao, Jianing Zhu, Jianliang Xu, Tongliang Liu
1816		Benign Overfitting in Deep Neural Networks under Lazy Training		0		Fanghui Liu, Francesco Locatello, Grigorios Chrysos, Volkan Cevher, Zhenyu Zhu
1817		Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics		0		Aritra Guha, Bo Li, Ding Zhao, Jiacheng Zhu, Jielin Qiu, XuanLong Nguyen, Zhuolin Yang
1818		LeadFL: Client Self-Defense against Model Poisoning in Federated Learning		0		Chaoyi Zhu, Lydia Y. Chen, Stefanie Roos
1819		XTab: Cross-table Pretraining for Tabular Transformers		0		Bingzhao Zhu, George Karypis, Mahsa Shoaran, Mu Li, Nick Erickson, Xingjian Shi
1820		Provable Multi-instance Deep AUC Maximization with Stochastic Pooling		0		Bokun Wang, Dixian Zhu, Milan Sonka, Tianbao Yang, Xiaodong Wu, Yaxing Wang, Zhi Chen
1821		Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning		0		Junyi Zhu, Matthew B. Blaschko, Ruicong Yao
1822		Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes		0		Hang Li, Jiankai Sun, Yang Liu, Yuanshun Yao, Zhaowei Zhu
1823		Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity		0		Dixian Zhu, Tianbao Yang, Yiming Ying
1824		Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data		0		Xiaohui Chen, Yubo Zhuang, Yun Yang
1825		Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?		0		Haitham BouAmmar, Juliusz Krysztof Ziomek
1826		Revisiting Bellman Errors for Offline Model Selection		0		Daniel de Marchi, Joshua P. Zitovsky, Michael Rene Kosorok, Rishabh Agarwal
1827		spred: Solving L1 Penalty with SGD		0		Liu Ziyin, Zihao Wang
1828		The Benefits of Mixup for Feature Learning		0		Difan Zou, Quanquan Gu, Yuan Cao, Yuanzhi Li