ICML2021

会议论文列表

本会议共有 1183 篇论文

序号	标题	链接	推荐理由	推荐度	摘要	作者	组织
1		A New Representation of Successor Features for Transfer across Dissimilar Environments		0		Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Svetha Venkatesh, Thommen George Karimpanal
2		Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling		0		Bimal Bhattarai, Kuruge Darshana Abeyrathna, Lei Jiao, Morten Goodwin, OleChristoffer Granmo, Rohan Kumar Yadav, Rupsa Saha, Saeed Rahimi Gorji
3		Debiasing Model Updates for Improving Personalized Federated Training		0		Durmus Alp Emre Acar, Matthew Mattina, Paul N. Whatmough, Ramon Matas Navarro, Ruizhao Zhu, Venkatesh Saligrama, Yue Zhao
4		Memory Efficient Online Meta Learning		0		Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama
5		Robust Testing and Estimation under Manipulation Attacks		0		Huanyu Zhang, Jayadev Acharya, Ziteng Sun
6		GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning		0		Aviv Navon, Ethan Fetaya, Gal Chechik, Idan Achituve, Yochai Yemini
7		f-Domain Adversarial Learning: Theory and Algorithms		0		David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler
8		Towards Rigorous Interpretations: a Formalisation of Feature Attribution		0		Darius Afchar, Romain Hennequin, Vincent Guigue
9		Acceleration via Fractal Learning Rate Schedules		0		Cyril Zhang, Naman Agarwal, Surbhi Goel
10		A Regret Minimization Approach to Iterative Learning Control		0		Anirudha Majumdar, Elad Hazan, Karan Singh, Naman Agarwal
11		Towards the Unification and Robustness of Perturbation and Gradient Based Explanations		0		Chirag Agarwal, Himabindu Lakkaraju, Shahin Jabbari, Sohini Upadhyay, Steven Wu, Sushant Agarwal
12		Label Inference Attacks from Log-loss Scores		0		Abhinav Aggarwal, Nathanael Teissier, Oluwaseyi Feyisetan, Shiva Prasad Kasiviswanathan, Zekun Xu
13		Deep Kernel Processes		0		Adam X. Yang, Laurence Aitchison, Sebastian W. Ober
14		How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation		0		Ali Akbari, Josef Kittler, Manijeh Bashar, Muhammad Awais
15		On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting		0		Shunta Akiyama, Taiji Suzuki
16		Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks		0		Lorenzo Torresani, Maxwell Mbabilla Aladago
17		A large-scale benchmark for few-shot program induction and synthesis		0		Armando SolarLezama, Ferran Alet, James Koppel, Javier LopezContreras, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Maxwell I. Nye, Tomás LozanoPérez
18		Robust Pure Exploration in Linear Bandits with Limited Budget		0		Abhimanyu Das, Ashok Cutkosky, Ayya Alieva
19		Communication-Efficient Distributed Optimization with Quantized Preconditioners		0		Dan Alistarh, Foivos Alimisis, Peter Davies
20		Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions		0		Pierre Alquier
21		Dataset Dynamics via Gradient Flows in Probability Space		0		David AlvarezMelis, Nicolò Fusi
22		Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity		0		Alberto MarchettiSpaccamela, Federico Fusco, Georgios Amanatidis, Philip Lazos, Rebecca Reiffenhäuser, Stefano Leonardi
23		Safe Reinforcement Learning with Linear Function Approximation		0		Christos Thrampoulidis, Lin Yang, Sanae Amani
24		Automatic variational inference with cascading flows		0		Gianluigi Silvestri, Luca Ambrogioni, Marcel van Gerven
25		Sparse Bayesian Learning via Stepwise Regression		0		Carla P. Gomes, Sebastian E. Ament
26		Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards		0		Doina Precup, Harsh Satija, Hossein Aboutalebi, Maziar Gomrokchi, Susan Amin
27		Preferential Temporal Difference Learning		0		Doina Precup, Nishanth V. Anand
28		Unitary Branching Programs: Learnability and Lower Bounds		0		Farhad Vadiee, Fidel Ernesto Diaz Andino, Maria Kokkou, Mateus de Oliveira Oliveira
29		The Logical Options Framework		0		Brandon Araki, Daniela Rus, Jonathan A. DeCastro, Kiran Vodrahalli, Micah J. Fry, Xiao Li
30		Annealed Flow Transport Monte Carlo		0		Alexander G. de G. Matthews, Arnaud Doucet, Michael Arbel
31		Permutation Weighting		0		Arjun Sondhi, David Arbour, Drew Dimmery
32		Analyzing the tree-layer structure of Deep Forests		0		Claire Boyer, Erwan Scornet, Ludovic Arnould
33		Dropout: Explicit Forms and Capacity Control		0		Nathan Srebro, Peter L. Bartlett, Poorya Mianjy, Raman Arora
34		Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients		0		Artem Artemev, David R. Burt, Mark van der Wilk
35		Deciding What to Learn: A Rate-Distortion Approach		0		Benjamin Van Roy, Dilip Arumugam
36		Private Adaptive Gradient Methods for Convex Optimization		0		Alireza Fallah, Hilal Asi, John C. Duchi, Kunal Talwar, Omid Javidbakht
37		Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry		0		Hilal Asi, Kunal Talwar, Tomer Koren, Vitaly Feldman
38		Combinatorial Blocking Bandits with Stochastic Delays		0		Alexia Atsidakou, Constantine Caramanis, Orestis Papadigenopoulos, Sanjay Shakkottai, Soumya Basu
39		Dichotomous Optimistic Search to Quantify Human Perception		0		Julien Audiffren
40		Federated Learning under Arbitrary Communication Patterns		0		Dmitrii Avdiukhin, Shiva Prasad Kasiviswanathan
41		Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge		0		Assaf Schuster, Ido Hakimi, Kfir Yehuda Levy, Rotem Zamir Aviv
42		Decomposable Submodular Function Minimization via Maximum Flow		0		Adam Karczmarz, Adrian Vladu, Anish Mukherjee, Kyriakos Axiotis, Piotr Sankowski
43		Differentially Private Query Release Through Adaptive Projection		0		Aaron Roth, Amaresh Ankit Siva, Krishnaram Kenthapadi, Luca Melis, Michael Kearns, Sergül Aydöre, William Brown
44		On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent		0		Amir Globerson, Blake E. Woodworth, Daniel Soudry, Edward Moroshko, Mor Shpigel Nacson, Nathan Srebro, Shahar Azulay
45		On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification		0		Daniela Rus, Mathias Lechner, Radu Grosu, Ramin M. Hasani, Zahra Babaiee
46		Uniform Convergence, Adversarial Spheres and a Simple Remedy		0		Gregor Bachmann, SeyedMohsen MoosaviDezfooli, Thomas Hofmann
47		Faster Kernel Matrix Algebra via Density Estimation		0		Arturs Backurs, Cameron Musco, Piotr Indyk, Tal Wagner
48		Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees		0		Dileep Kalathil, Kishan Panaganti Badrinath
49		Skill Discovery for Exploration and Planning using Deep Skill Graphs		0		Akhil Bagaria, George Konidaris, Jason K. Senthil
50		Locally Adaptive Label Smoothing Improves Predictive Churn		0		Dara Bahri, Heinrich Jiang
51		How Important is the Train-Validation Split in Meta-Learning?		0		Caiming Xiong, Huan Wang, Jason D. Lee, Minshuo Chen, Pan Zhou, Sham M. Kakade, Tuo Zhao, Yu Bai
52		Stabilizing Equilibrium Models by Jacobian Regularization		0		J. Zico Kolter, Shaojie Bai, Vladlen Koltun
53		Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification		0		Caiming Xiong, Huan Wang, Song Mei, Yu Bai
54		Principled Exploration via Optimistic Bootstrapping and Backward Induction		0		Animesh Garg, Chenjia Bai, Jianye Hao, Lei Han, Lingxiao Wang, Peng Liu, Zhaoran Wang
55		GLSearch: Maximum Common Subgraph Detection via Learning to Search		0		Derek Xu, Wei Wang, Yizhou Sun, Yunsheng Bai
56		Breaking the Limits of Message Passing Graph Neural Networks		0		Benoit Gaüzère, Muhammet Balcilar, Pascal Vasseur, Paul Honeine, Pierre Héroux, Sébastien Adam
57		Instance Specific Approximations for Submodular Maximization		0		Eric Balkanski, Sharon Qian, Yaron Singer
58		Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment		0		Cong Lu, Jack ParkerHolder, Philip J. Ball, Stephen J. Roberts
59		Regularized Online Allocation Problems: Fairness and Beyond		0		Haihao Lu, Santiago R. Balseiro, Vahab S. Mirrokni
60		Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers		0		Regina Barzilay, Shiyu Chang, Yujia Bao
61		Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models		0		Bo Zhang, Chongxuan Li, Fan Bao, Jun Zhu, Kun Xu, Lanqing Hong
62		Compositional Video Synthesis with Action Graphs		0		Amir Bar, Amir Globerson, Anna Rohrbach, Gal Chechik, Roei Herzig, Trevor Darrell, Xiaolong Wang
63		Approximating a Distribution Using Weight Queries		0		Nadav Barak, Sivan Sabato
64		Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization		0		Aseem Baranwal, Aukosh Jagannath, Kimon Fountoulakis
65		Training Quantized Neural Networks to Global Optimality via Semidefinite Programming		0		Burak Bartan, Mert Pilanci
66		Beyond log2(T) regret for decentralized bandits in matching markets		0		Abishek Sankararaman, Karthik Abinav Sankararaman, Soumya Basu
67		Optimal Thompson Sampling strategies for support-aware CVaR bandits		0		Dorian Baudry, Emilie Kaufmann, Odalric Maillard, Romain Gautron
68		On Limited-Memory Subsampling Strategies for Bandits		0		Dorian Baudry, Olivier Cappé, Yoan Russac
69		Generalized Doubly Reparameterized Gradient Estimators		0		Andriy Mnih, Matthias Bauer
70		Directional Graph Networks		0		Dominique Beaini, Gabriele Corso, Pietro Lió, Saro Passaro, Vincent Létourneau, William L. Hamilton
71		Policy Analysis using Synthetic Controls in Continuous-Time		0		Alexis Bellot, Mihaela van der Schaar
72		Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling		0		Andrew Gordon Wilson, Gregory W. Benton, Sanae Lotfi, Wesley J. Maddox
73		TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer		0		Berkay Berabi, Jingxuan He, Martin T. Vechev, Veselin Raychev
74		Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis		0		Ahmed M. Alaa, Alexander E. S. Gimson, James Jordon, Jeroen Berrevoets, Mihaela van der Schaar, Zhaozhi Qian
75		Learning from Biased Data: A Semi-Parametric Approach		0		Nathan Noiry, Patrice Bertail, Stéphan Clémençon, Yannick Guyonvarch
76		Is Space-Time Attention All You Need for Video Understanding?		0		Gedas Bertasius, Heng Wang, Lorenzo Torresani
77		Confidence Scores Make Instance-dependent Label-noise Learning Possible		0		Antonin Berthon, Bo Han, Gang Niu, Masashi Sugiyama, Tongliang Liu
78		Size-Invariant Graph Representations for Graph Classification Extrapolations		0		Beatrice Bevilacqua, Bruno Ribeiro, Yangze Zhou
79		Principal Bit Analysis: Autoencoding with Schur-Concave Loss		0		Aaron B. Wagner, Jayadev Acharya, Sourbh Bhadane
80		Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries		0		Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal, Vikash Sehwag
81		Additive Error Guarantees for Weighted Low Rank Approximation		0		Aditya Bhaskara, Aravinda Kanchana Ruwanpathirana, Maheshakya Wijewardena
82		Sample Complexity of Robust Linear Classification on Separated Data		0		Kamalika Chaudhuri, Robi Bhattacharjee, Somesh Jha
83		Finding k in Latent k- polytope		0		Amit Kumar, Chiranjib Bhattacharyya, Ravindran Kannan
84		Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction		0		Chence Shi, Connor W. Coley, Hangrui Bi, Hengyi Wang, Hongyu Guo, Jian Tang
85		TempoRL: Learning When to Act		0		André Biedenkapp, Frank Hutter, Marius Lindauer, Raghu Rajan
86		Follow-the-Regularized-Leader Routes to Chaos in Routing Games		0		Fryderyk Falniowski, Georgios Piliouras, Grzegorz Kosiorowski, Jakub Bielawski, Michal Misiurewicz, Thiparat Chotibut
87		Neural Symbolic Regression that scales		0		Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo, Luca Biggio, Tommaso Bendinelli
88		Model Distillation for Revenue Optimization: Interpretable Personalized Pricing		0		Markus Ettl, Max Biggs, Wei Sun
89		Scalable Normalizing Flows for Permutation Invariant Densities		0		Marin Bilos, Stephan Günnemann
90		Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games		0		Ilai Bistritz, Nicholas Bambos
91		Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision		0		Carla P. Gomes, Christopher De Sa, Johan Björck, Kilian Q. Weinberger, Xiangyu Chen
92		Multiplying Matrices Without Multiplying		0		Davis W. Blalock, John V. Guttag
93		One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning		0		Avrim Blum, Han Shao, Nika Haghtalab, Richard Lanas Phillips
94		Black-box density function estimation using recursive partitioning		0		Carl Henrik Ek, Erik Bodin, Neill W. Campbell, Zhenwen Dai
95		Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks		0		Cristian Bodnar, Fabrizio Frasca, Guido F. Montúfar, Michael M. Bronstein, Nina Otter, Pietro Lió, Yuguang Wang
96		The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning		0		Max Welling, Roberto Bondesan
97		Offline Contextual Bandits with Overparameterized Models		0		David Brandfonbrener, Joan Bruna, Rajesh Ranganath, William F. Whitney
98		High-Performance Large-Scale Image Recognition Without Normalization		0		Andy Brock, Karen Simonyan, Samuel L. Smith, Soham De
99		Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo		0		James A. Brofos, Roy R. Lederman
100		Reinforcement Learning of Implicit and Explicit Control Flow Instructions		0		Ethan Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
101		Machine Unlearning for Random Forests		0		Daniel Lowd, Jonathan Brophy
102		Value Alignment Verification		0		Anca D. Dragan, Daniel S. Brown, Jordan Schneider, Scott Niekum
103		Model-Free and Model-Based Policy Evaluation when Causality is Uncertain		0		David BrunsSmith
104		Narrow Margins: Classification, Margins and Fat Tails		0		Francois BuetGolfouse
105		Differentially Private Correlation Clustering		0		Janardhan Kulkarni, Marek Eliás, Mark Bun
106		Disambiguation of Weak Supervision leading to Exponential Convergence rates		0		Alessandro Rudi, Francis R. Bach, Vivien A. Cabannes
107		Finite mixture models do not reliably learn the number of components		0		Diana Cai, Tamara Broderick, Trevor Campbell
108		A Theory of Label Propagation for Subpopulation Shift		0		Jason D. Lee, Qi Lei, Ruiqi Gao, Tianle Cai
109		Lenient Regret and Good-Action Identification in Gaussian Process Bandits		0		Jonathan Scarlett, Selwyn Gomes, Xu Cai
110		A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization		0		Daniel McKenzie, HanQin Cai, Wotao Yin, Yuchen Lou
111		GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training		0		Di He, Keyulu Xu, Liwei Wang, Shengjie Luo, Tianle Cai, TieYan Liu
112		On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization		0		Jonathan Scarlett, Xu Cai
113		High-dimensional Experimental Design and Kernel Bandits		0		Julian KatzSamuels, Kevin Jamieson, Romain Camilleri
114		A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization		0		Andrew Campbell, José Miguel HernándezLobato, Vincent Stimper, Wenlong Chen, Yichuan Zhang
115		Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections		0		Alexander Camuto, Chris C. Holmes, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli, Xiaoyu Wang
116		Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design		0		Igor Melnyk, Payel Das, PinYu Chen, Vijil Chenthamarakshan, Yang Shen, Yue Cao
117		Learning from Similarity-Confidence Data		0		Bo An, Gang Niu, Lei Feng, Masashi Sugiyama, Yitian Xu, Yuzhou Cao
118		Parameter-free Locally Accelerated Conditional Gradients		0		Alejandro Carderera, Cheuk Yin Lin, Jelena Diakonikolas, Sebastian Pokutta
119		Optimizing persistent homology based functions		0		Frédéric Chazal, Hariprasad Kannan, Marc Glisse, Mathieu Carrière, Yuhei Umeda, Yuichi Ike
120		Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret		0		Asaf B. Cassel, Tomer Koren
121		Multi-Receiver Online Bayesian Persuasion		0		Alberto Marchesi, Andrea Celli, Matteo Castiglioni, Nicola Gatti
122		Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data		0		Ahuva WeissMeilik, Amnon Catav, Boyang Fu, Jason Ernst, Noam Shomron, Ran GiladBachrach, Sriram Sankararaman, Yazeed Zoabi
123		Disentangling syntax and semantics in the brain with deep networks		0		Alexandre Gramfort, Charlotte Caucheteux, JeanRemi King
124		Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees		0		L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi, Vijay Keswani
125		Best Model Identification: A Rested Bandit Formulation		0		Claudio Gentile, Leonardo Cella, Massimiliano Pontil
126		Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research		0		Johan S. ObandoCeron, Pablo Samuel Castro
127		Learning Routines for Effective Off-Policy Reinforcement Learning		0		Edoardo Cetin, Oya Çeliktutan
128		Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks		0		Ciwan Ceylan, Florian T. Pokorny, Salla Franzén
129		GRAND: Graph Neural Diffusion		0		Ben Chamberlain, Emanuele Rossi, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb
130		HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections		0		Albert Gu, Christopher Ré, Dat Nguyen, Ines Chami
131		Goal-Conditioned Reinforcement Learning with Imagined Subgoals		0		Cordelia Schmid, Elliot ChaneSane, Ivan Laptev
132		Locally Private k-Means in One Round		0		Alisa Chang, Badih Ghazi, Pasin Manurangsi, Ravi Kumar
133		Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment		0		Michael Chang, Sergey Levine, Sidhant Kaushik, Tom Griffiths
134		Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection		0		Animashree Anandkumar, José M. Álvarez, Nadine Chang, Sanja Fidler, YuXiong Wang, Zhiding Yu
135		DeepWalking Backwards: From Embeddings Back to Graphs		0		Cameron Musco, Charalampos E. Tsourakakis, Konstantinos Sotiropoulos, Sudhanshu Chanpuriya
136		Differentiable Spatial Planning using Transformers		0		Deepak Pathak, Devendra Singh Chaplot, Jitendra Malik
137		Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning		0		Giovanni Montana, Henry Charlesworth
138		Classification with Rejection Based on Cost-sensitive Classification		0		Masashi Sugiyama, Nontawat Charoenphakdee, Yivan Zhang, Zhenghang Cui
139		Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills		0		Alex Irpan, Benjamin Eysenbach, Chelsea Finn, Dmitry Kalashnikov, Jacob Varley, Karol Hausman, Ryan Julian, Sergey Levine, Ted Xiao, Yao Lu, Yevgen Chebotar
140		Unified Robust Semi-Supervised Variational Autoencoder		0		Xu Chen
141		Unsupervised Learning of Visual 3D Keypoints for Control		0		Boyuan Chen, Deepak Pathak, Pieter Abbeel
142		Integer Programming for Causal Structure Learning in the Presence of Latent Variables		0		Rui Chen, Sanjeeb Dash, Tian Gao
143		Improved Corruption Robust Algorithms for Episodic Reinforcement Learning		0		Kevin Jamieson, Simon S. Du, Yifang Chen
144		Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks		0		Amirhossein Taghvaei, Jiaojiao Fan, Yongxin Chen
145		Neural Feature Matching in Implicit 3D Representations		0		Basura Fernando, Efstratios Gavves, Hakan Bilen, Thomas Mensink, Yunlu Chen
146		Decentralized Riemannian Gradient Descent on the Stiefel Manifold		0		Alfredo García, Mingyi Hong, Shahin Shahrampour, Shixiang Chen
147		Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation		0		Chao Chen, Daiyue Xue, Haoyu Geng, Jianping Yu, Junchi Yan, Nianzu Yang, Xiaokang Yang
148		Mandoline: Model Evaluation under Distribution Shift		0		Christopher Ré, Fait Poms, Karan Goel, Kayvon Fatahalian, Mayee F. Chen, Nimit Sharad Sohoni
149		Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation		0		Francisco J. R. Ruiz, Jiajing Hu, LiPing Liu, Xiaohui Chen, Xu Han
150		CARTL: Cooperative Adversarially-Robust Transfer Learning		0		Chao Shen, Cong Wang, Dian Chen, Hongxin Hu, Qi Li, Qian Wang, Yinli Li
151		Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case		0		Haipeng Luo, Liyu Chen
152		SpreadsheetCoder: Formula Prediction from Semi-structured Context		0		Charles Sutton, Denny Zhou, Hanjun Dai, Max Lin, Petros Maniatis, Rishabh Singh, Xinyun Chen
153		Large-Margin Contrastive Learning with Distance Polarization Regularizer		0		Chen Gong, Gang Niu, Jian Yang, Jun Li, Masashi Sugiyama, Shuo Chen
154		Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting		0		Ignacio SegoviaDominguez, Yulia R. Gel, Yuzhou Chen
155		A Unified Lottery Ticket Hypothesis for Graph Neural Networks		0		Aston Zhang, Tianlong Chen, Xuxi Chen, Yongduo Sui, Zhangyang Wang
156		Network Inference and Influence Maximization from Samples		0		Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang
157		Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps		0		Molei Tao, Renyi Chen
158		Analysis of stochastic Lanczos quadrature for spectrum approximation		0		Shashanka Ubaru, Thomas Trogdon, Tyler Chen
159		Large-Scale Multi-Agent Deep FBSDEs		0		Evangelos A. Theodorou, Ioannis Exarchos, Tianrong Chen, Ziyi Wang
160		Representation Subspace Distance for Domain Adaptation Regression		0		Jianmin Wang, Mingsheng Long, Sinan Wang, Xinyang Chen
161		Overcoming Catastrophic Forgetting by Bayesian Generative Regularization		0		Bo Dai, ChoJui Hsieh, PeiHung Chen, Wei Wei
162		Cyclically Equivariant Neural Decoders for Cyclic Codes		0		Min Ye, Xiangyu Chen
163		A Receptor Skeleton for Capsule Neural Networks		0		Chengde Qian, Danny Z. Chen, Hongyun Yu, Jian Wu, Jintai Chen
164		Accelerating Gossip SGD with Periodic Global Averaging		0		Kun Yuan, Pan Pan, Wotao Yin, Yiming Chen, Yinghui Xu, Yingya Zhang
165		ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training		0		Dequan Wang, Ion Stoica, Jianfei Chen, Joseph Gonzalez, Lianmin Zheng, Michael W. Mahoney, Zhewei Yao
166		SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation		0		Chenhui Deng, Wuxinlin Cheng, Yaohui Cai, Zhiqiang Zhao, Zhiru Zhang, Zhuo Feng
167		Self-supervised and Supervised Joint Training for Resource-rich Machine Translation		0		Lu Jiang, Wei Wang, Wolfgang Macherey, Yong Cheng
168		Exact Optimization of Conformal Predictors via Incremental and Decremental Learning		0		Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi
169		Problem Dependent View on Structured Thresholding Bandit Problems		0		Alexandra Carpentier, James Cheshire, Pierre Ménard
170		Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence		0		Georgios Piliouras, Yun Kuen Cheung
171		Understanding and Mitigating Accuracy Disparity in Regression		0		Geoffrey J. Gordon, Han Zhao, Jianfeng Chi, Yuan Tian
172		Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates		0		Abhradeep Thakurta, Li Zhang, Prateek Jain, Shuang Song, Steffen Rendle, Steve Chien, Walid Krichene
173		Light RUMs		0		Andrew Tomkins, Flavio Chierichetti, Ravi Kumar
174		Parallelizing Legendre Memory Unit Training		0		Chris Eliasmith, Narsimha Reddy Chilkuri
175		Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies		0		Benjamin J. Raphael, Jasper C. H. Lee, Kimberly Ding, Uthsav Chitra
176		Robust Learning-Augmented Caching: An Experimental Study		0		Adam Polak, Bartosz Szabucki, Jakub Chledowski, Konrad Tomasz Zolna
177		Unifying Vision-and-Language Tasks via Text Generation		0		Hao Tan, Jaemin Cho, Jie Lei, Mohit Bansal
178		Learning from Nested Data with Ornstein Auto-Encoders		0		JoongHo Won, Sungdong Lee, Youngwon Choi
179		Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning		0		Archit Sharma, Honglak Lee, Jongwook Choi, Sergey Levine, Shixiang Shane Gu
180		Label-Only Membership Inference Attacks		0		Christopher A. ChoquetteChoo, Florian Tramèr, Nicholas Carlini, Nicolas Papernot
181		Modeling Hierarchical Structures with Continuous Recursive Neural Networks		0		Cornelia Caragea, Jishnu Ray Chowdhury
182		Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing		0		Arrasy Rahman, Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht
183		Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization		0		Marlos C. Machado, Nicolas Le Roux, Valentin Thomas, Wesley Chung
184		First-Order Methods for Wasserstein Distributionally Robust MDP		0		Christian Kroer, Julien GrandClément
185		Phasic Policy Gradient		0		Jacob Hilton, John Schulman, Karl Cobbe, Oleg Klimov
186		Riemannian Convex Potential Maps		0		Brandon Amos, Samuel Cohen, Yaron Lipman
187		Scaling Properties of Deep Residual Networks		0		Alain Rossier, AlainSam Cohen, Rama Cont, Renyuan Xu
188		Differentially-Private Clustering of Easy Instances		0		Edith Cohen, Eliad Tsfadia, Haim Kaplan, Uri Stemmer, Yishay Mansour
189		Improving Ultrametrics Embeddings Through Coresets		0		Guillaume Lagarde, Rémi de Joannis de Verclos, Vincent CohenAddad
190		Correlation Clustering in Constant Many Parallel Rounds		0		Ashkan NorouziFard, Jakub Tarnawski, Nikos Parotsidis, Silvio Lattanzi, Slobodan Mitrovic, Vincent CohenAddad
191		Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability		0		Ekhine Irurozki, Fabien Collas
192		Exploiting Shared Representations for Personalized Federated Learning		0		Aryan Mokhtari, Hamed Hassani, Liam Collins, Sanjay Shakkottai
193		Differentiable Particle Filtering via Entropy-Regularized Optimal Transport		0		Adrien Corenflos, Arnaud Doucet, George Deligiannidis, James Thornton
194		Fairness and Bias in Online Selection		0		Andrés Cristi, Ashkan NorouziFard, José Correa, Paul Duetting
195		Relative Deviation Margin Bounds		0		Ananda Theertha Suresh, Corinna Cortes, Mehryar Mohri
196		A Discriminative Technique for Multiple-Source Adaptation		0		Ananda Theertha Suresh, Corinna Cortes, Mehryar Mohri, Ningshan Zhang
197		Characterizing Fairness Over the Set of Good Models Under Selective Labels		0		Alexandra Chouldechova, Amanda Coston, Ashesh Rambachan
198		Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering		0		Florent Chatelain, Nicolas Le Bihan, Romain Couillet
199		Explaining Time Series Predictions with Dynamic Masks		0		Jonathan Crabbé, Mihaela van der Schaar
200		Generalised Lipschitz Regularisation Equals Distributional Robustness		0		Richard Nock, Simon Kornblith, Xinhua Zhang, Zac Cranko, Zhan Shi
201		Environment Inference for Invariant Learning		0		Elliot Creager, JörnHenrik Jacobsen, Richard S. Zemel
202		Mind the Box: l1-APGD for Sparse Adversarial Attacks on Image Classifiers		0		Francesco Croce, Matthias Hein
203		Parameterless Transductive Feature Re-representation for Few-Shot Learning		0		Wentao Cui, Yuhong Guo
204		Randomized Algorithms for Submodular Function Maximization with a k-System Constraint		0		Benwei Wu, He Huang, Jing Tang, Kai Han, Shuang Cui, Tianshuai Zhu
205		GBHT: Gradient Boosting Histogram Transform for Density Estimation		0		Hanyuan Hang, Jingyi Cui, Yisen Wang, Zhouchen Lin
206		ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations		0		Chris Cummins, Hugh Leather, Michael F. P. O'Boyle, Tal BenNun, Torsten Hoefler, Zacharias V. Fisches
207		Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning		0		Andreas Krause, Ilija Bogunovic, Sebastian Curi
208		Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability		0		Benjamin Recht, Mihaela Curmei, Sarah Dean
209		Dynamic Balancing for Model Selection in Bandits and RL		0		Abhimanyu Das, Aldo Pacchiano, Ashok Cutkosky, Christoph Dann, Claudio Gentile, Manish Purohit
210		ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases		0		Ari S. Morcos, Giulio Biroli, Hugo Touvron, Levent Sagun, Matthew L. Leavitt, Stéphane d'Ascoli
211		Consistent regression when oblivious outliers overwhelm		0		David Steurer, Gleb Novikov, Tommaso d'Orsi
212		Offline Reinforcement Learning with Pseudometric Learning		0		Léonard Hussenot, Matthieu Geist, Nino Vieillard, Olivier Pietquin, Robert Dadashi, Shideh Rezaeifar
213		A Tale of Two Efficient and Informative Negative Sampling Distributions		0		Anshumali Shrivastava, Beidi Chen, Mengnan Zhao, Nicholas Meisburger, Shabnam Daghaghi, Tharun Medini
214		SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels		0		Amit Singh, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Kunal Dahiya, Manik Varma, Purushottam Kar, Sumeet Agarwal
215		Fixed-Parameter and Approximation Algorithms for PCA with Outliers		0		Fahad Panolan, Fedor V. Fomin, Kirill Simonov, Yogesh Dahiya
216		Sliced Iterative Normalizing Flows		0		Biwei Dai, Uros Seljak
217		Convex Regularization in Monte-Carlo Tree Search		0		Carlo D'Eramo, Jan Peters, Joni Pajarinen, Tuan Dam
218		Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation		0		Christopher R. Dance, Julien Perez, Théo Cachet
219		Re-understanding Finite-State Representations of Recurrent Policy Networks		0		Alan Fern, Anurag Koul, Mohamad H. Danesh, Saeed Khorram
220		Newton Method over Networks is Fast up to the Statistical Precision		0		Alexander V. Gasnikov, Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky
221		BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders		0		Christopher Yau, Dominic Danks
222		Intermediate Layer Optimization for Inverse Problems using Deep Generative Models		0		Ajil Jalal, Alex Dimakis, Giannis Daras, Joseph Dean
223		Measuring Robustness in Deep Learning Based Compressive Sensing		0		Akshay S. Chaudhari, Mohammad Zalbagi Darestani, Reinhard Heckel
224		SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning		0		Lokesh Chandra Das, Myounggyu Won
225		Lipschitz normalization for self-attention layers with application to graph neural networks		0		Aladin Virmaux, George Dasoulas, Kevin Scaman
226		Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers		0		Jyotikrishna Dass, Rabi N. Mahapatra
227		Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data		0		Deepesh Data, Suhas N. Diggavi
228		Catformer: Designing Stable Transformers via Sensitivity Analysis		0		Albert Gu, Chelsea Finn, Christopher Ré, Jared Quincy Davis, Krzysztof Choromanski, Percy Liang, Tri Dao
229		Diffusion Source Identification on Networks with Statistical Confidence		0		Haifeng Xu, Quinlan Dawkins, Tianxi Li
230		Bayesian Deep Learning via Subnetwork Inference		0		Eric T. Nalisnick, Erik A. Daxberger, James Urquhart Allingham, Javier Antorán, José Miguel HernándezLobato
231		Adversarial Robustness Guarantees for Random Deep Neural Networks		0		Bobak Toussi Kiani, Giacomo De Palma, Seth Lloyd
232		High-Dimensional Gaussian Process Inference with Derivatives		0		Alexandra Gessner, Filip de Roos, Philipp Hennig
233		Transfer-Based Semantic Anomaly Detection		0		Hakan Bilen, Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen
234		Grid-Functioned Neural Networks		0		Andrew Vidler, Christof Lutteroth, Javier Dehesa, Julian A. Padget
235		Multidimensional Scaling: Approximation and Complexity		0		Adam Hesterberg, Erik D. Demaine, Frederic Koehler, Jayson Lynch, John C. Urschel
236		What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?		0		Liang Zheng, Stephen Gould, Weijian Deng
237		Toward Better Generalization Bounds with Locally Elastic Stability		0		Hangfeng He, Weijie J. Su, Zhun Deng
238		Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing		0		Song Zuo, Sébastien Lahaie, Vahab S. Mirrokni, Yuan Deng
239		Heterogeneity for the Win: One-Shot Federated Clustering		0		Don Kurian Dennis, Tian Li, Virginia Smith
240		Kernel Continual Learning		0		Cees Snoek, Ling Shao, Mohammad Mahdi Derakhshani, Xiantong Zhen
241		Bayesian Optimization over Hybrid Spaces		0		Aryan Deshwal, Janardhan Rao Doppa, Syrine Belakaria
242		Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation		0		Ali Shaw, Evelyn Zuniga, Gavin Costello, Guy Leroy, Ida Momennejad, Jaroslaw Rzepecki, Katja Hofmann, Raluca Georgescu, Sam Devlin
243		Versatile Verification of Tree Ensembles		0		Jesse Davis, Laurens Devos, Wannes Meert
244		On the Inherent Regularization Effects of Noise Injection During Training		0		Oussama Dhifallah, Yue M. Lu
245		Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time		0		David Eisenstat, Jakub Lacki, Jessica Shi, Laxman Dhulipala, Vahab S. Mirrokni
246		Learning Online Algorithms with Distributional Advice		0		Ali Vakilian, Christos Tzamos, Ilias Diakonikolas, Nikos Zarifis, Vasilis Kontonis
247		A Wasserstein Minimax Framework for Mixed Linear Regression		0		Alireza Fallah, Asuman E. Ozdaglar, Farzan Farnia, Theo Diamandis, Yonina C. Eldar
248		Context-Aware Online Collective Inference for Templated Graphical Models		0		Alexander Miller, Charles Dickens, Connor Pryor, Eriq Augustine, Lise Getoor
249		ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables		0		Aleksandar Dimitriev, Mingyuan Zhou
250		XOR-CD: Linearly Convergent Constrained Structure Generation		0		Fan Ding, Jianzhu Ma, Jinbo Xu, Yexiang Xue
251		Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach		0		Daniel P. Robinson, René Vidal, Tianyu Ding, Zhihui Zhu
252		Coded-InvNet for Resilient Prediction Serving Systems		0		Kangwook Lee, Tuan Dinh
253		Estimation and Quantization of Expected Persistence Diagrams		0		Théo Lacombe, Vincent Divol
254		On Energy-Based Models with Overparametrized Shallow Neural Networks		0		Alberto Bietti, Carles DomingoEnrich, Eric VandenEijnden, Joan Bruna
255		Kernel-Based Reinforcement Learning: A Finite-Time Analysis		0		Emilie Kaufmann, Matteo Pirotta, Michal Valko, Omar Darwiche Domingues, Pierre Ménard
256		Attention is not all you need: pure attention loses rank doubly exponentially with depth		0		Andreas Loukas, JeanBaptiste Cordonnier, Yihe Dong
257		How rotational invariance of common kernels prevents generalization in high dimensions		0		Fanny Yang, Konstantin Donhauser, Mingqi Wu
258		Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction		0		Hadrien Hendrikx, Mathieu Even, RaduAlexandru Dragomir
259		Bilinear Classes: A Structural Framework for Provable Generalization in RL		0		Gaurav Mahajan, Jason D. Lee, Ruosong Wang, Shachar Lovett, Sham M. Kakade, Simon S. Du, Wen Sun
260		Improved Contrastive Divergence Training of Energy-Based Models		0		Igor Mordatch, Joshua B. Tenenbaum, Shuang Li, Yilun Du
261		Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation		0		Cunxiao Du, Jing Jiang, Zhaopeng Tu
262		Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation		0		Elbert Du, Franklyn Wang, Michael Mitzenmacher
263		Estimating α-Rank from A Few Entries with Low Rank Matrix Completion		0		Haifeng Zhang, Jun Wang, Xu Chen, Xue Yan, Yali Du
264		Learning Diverse-Structured Networks for Adversarial Robustness		0		Bo Han, Gang Niu, Jingfeng Zhang, Junzhou Huang, Masashi Sugiyama, Tongliang Liu, Xuefeng Du, Yu Rong
265		Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning		0		Chi Jin, Yaqi Duan, Zhiyuan Li
266		Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network		0		Bo Chen, Chaojie Wang, Dongsheng Wang, Jie Ren, Mingyuan Zhou, Wenchao Chen, Yewen Li, Zhibin Duan
267		Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics		0		Andrey Y. Lokhov, Arkopal Dutt, Marc Vuffray, Sidhant Misra
268		Reinforcement Learning Under Moral Uncertainty		0		Adrien Ecoffet, Joel Lehman
269		Confidence-Budget Matching for Sequential Budgeted Learning		0		Aadirupa Saha, Nadav Merlis, Shie Mannor, Yonathan Efroni
270		Self-Paced Context Evaluation for Contextual Reinforcement Learning		0		André Biedenkapp, Frank Hutter, Marius Lindauer, Theresa Eimer
271		Provably Strict Generalisation Benefit for Equivariant Models		0		Bryn Elesedy, Sheheryar Zaidi
272		Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations		0		Anand Rangarajan, Pan He, Patrick Emami, Sanjay Ranka
273		Implicit Bias of Linear RNNs		0		Alyson K. Fletcher, Melikasadat Emami, Mojtaba SahraeeArdakan, Parthe Pandit, Sundeep Rangan
274		Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs		0		Mert Pilanci, Tolga Ergen
275		Revealing the Structure of Deep Neural Networks via Convex Duality		0		Mert Pilanci, Tolga Ergen
276		Whitening for Self-Supervised Representation Learning		0		Aleksandr Ermolov, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
277		Graph Mixture Density Networks		0		Alessio Micheli, Davide Bacciu, Federico Errica
278		Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data		0		Aditya Balu, Chinmay Hegde, Ethan Herron, Sin Yong Tan, Soumik Sarkar, Yasaman Esfandiari, Zhanhong Jiang
279		Weight-covariance alignment for adversarially robust neural networks		0		Da Li, Henry Gouk, Panagiotis Eustratiadis, Timothy M. Hospedales
280		Data augmentation for deep learning based accelerated MRI reconstruction with limited data		0		Mahdi Soltanolkotabi, Reinhard Heckel, Zalan Fabian
281		Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks		0		Bin Li, Scott A. Sisson, Xuhui Fan, Yaqiong Li
282		Model-based Reinforcement Learning for Continuous Control with Posterior Sampling		0		Yifei Ming, Ying Fan
283		SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies		0		Animashree Anandkumar, DeAn Huang, Guanzhi Wang, Li FeiFei, Linxi Fan, Yuke Zhu, Zhiding Yu
284		On Estimation in Latent Variable Models		0		Guanhua Fang, Ping Li
285		On Variational Inference in Biclustering Models		0		Guanhua Fang, Ping Li
286		Learning Bounds for Open-Set Learning		0		Anjin Liu, Feng Liu, Guangquan Zhang, Jie Lu, Zhen Fang
287		Streaming Bayesian Deep Tensor Factorization		0		Ji Liu, Shandian Zhe, Shikai Fang, Zheng Wang, Zhimeng Pan
288		PID Accelerated Value Iteration Algorithm		0		Amir Massoud Farahmand, Mohammad Ghavamzadeh
289		Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise		0		Andrew A. Li, Tianyi Peng, Vivek F. Farias
290		Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results		0		Andrea Celli, Gabriele Farina, Nicola Gatti, Tuomas Sandholm
291		Train simultaneously, generalize better: Stability of gradient-based minimax learners		0		Asuman E. Ozdaglar, Farzan Farnia
292		Unbalanced minibatch Optimal Transport; applications to Domain Adaptation		0		Kilian Fatras, Nicolas Courty, Rémi Flamary, Thibault Séjourné
293		Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach		0		Yingjie Fei, Zhaoran Wang, Zhuoran Yang
294		Lossless Compression of Efficient Private Local Randomizers		0		Kunal Talwar, Vitaly Feldman
295		Dimensionality Reduction for the Sum-of-Distances Metric		0		David P. Woodruff, Praneeth Kacham, Zhili Feng
296		Reserve Price Optimization for First Price Auctions in Display Advertising		0		Jinchao Ye, Jon Schneider, Sébastien Lahaie, Zhe Feng
297		Uncertainty Principles of Encoding GANs		0		Deli Zhao, Jiapeng Zhu, Jingren Zhou, Ruili Feng, ZhengJun Zha, Zhouchen Lin
298		Pointwise Binary Classification with Pairwise Confidence Comparisons		0		Bo An, Bo Han, Gang Niu, Lei Feng, Masashi Sugiyama, Miao Xu, Nan Lu, Senlin Shu
299		Provably Correct Optimization and Exploration with Non-linear Policies		0		Alekh Agarwal, Fei Feng, Lin Yang, Wotao Yin
300		KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation		0		Chao Wu, Fei Wu, Haozhe Feng, Minfeng Zhu, Minghao Chen, Tianye Zhang, Wei Chen, Zhaoyang You
301		Understanding Noise Injection in GANs		0		Deli Zhao, Ruili Feng, ZhengJun Zha
302		GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings		0		Frank Weichert, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
303		PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning		0		Angelos Filos, Clare Lyle, Gregory Farquhar, Natasha Jaques, Sergey Levine, Yarin Gal
304		A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups		0		Andrew Gordon Wilson, Marc Finzi, Max Welling
305		Few-Shot Conformal Prediction with Auxiliary Tasks		0		Adam Fisch, Regina Barzilay, Tal Schuster, Tommi S. Jaakkola
306		Scalable Certified Segmentation via Randomized Smoothing		0		Marc Fischer, Martin T. Vechev, Maximilian Baader
307		What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules		0		Anna Oláh, Jilles Vreeken, Jonas Fischer
308		Online Learning with Optimism and Delay		0		Francesco Orabona, Genevieve Flaspohler, Judah Cohen, Lester Mackey, Miruna Oprescu, Paulo Orenstein, Soukayna Mouatadid
309		Online A-Optimal Design and Active Linear Regression		0		Michal Valko, Pierre Perrault, Vianney Perchet, Xavier Fontaine
310		Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design		0		Adam Foster, Desi R. Ivanova, Ilyas Malik, Tom Rainforth
311		Efficient Online Learning for Dynamic k-Clustering		0		Dimitris Fotakis, Georgios Piliouras, Stratis Skoulakis
312		Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning		0		Laetitia Kameni, Marco Lorenzi, Richard Vidal, Yann Fraboni
313		Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins		0		Quanquan Gu, Spencer Frei, Yuan Cao
314		Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise		0		Quanquan Gu, Spencer Frei, Yuan Cao
315		Post-selection inference with HSIC-Lasso		0		Benjamin Poignard, Héctor ClimenteGonzález, Makoto Yamada, Tobias Freidling
316		Variational Data Assimilation with a Learned Inverse Observation Operator		0		Daniel Cremers, Dmitrii Kochkov, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer, Thomas Frerix
317		Bayesian Quadrature on Riemannian Data Manifolds		0		Alexandra Gessner, Bernhard Schölkopf, Christian Fröhlich, Georgios Arvanitidis, Philipp Hennig
318		Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing		0		Cheng Fu, Hanxian Huang, Jishen Zhao, Xinyun Chen, Yuandong Tian
319		Learning Task Informed Abstractions		0		Ge Yang, Pulkit Agrawal, Tommi S. Jaakkola, Xiang Fu
320		Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference		0		Meng Li, Qixuan Yu, Vikas Chandra, Yingyan Lin, Yonggan Fu
321		Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators		0		David D. Cox, Yang Zhang, Yingyan Lin, Yongan Zhang, Yonggan Fu
322		A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation		0		David Meger, Doina Precup, Scott Fujimoto
323		Learning disentangled representations via product manifold projection		0		Emanuele Rodolà, Luca Cosmo, Marco Fumero, Simone Melzi
324		Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning		0		Hiroki Furuta, Ofir Nachum, Sergey Levine, Shixiang Shane Gu, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo
325		An Information-Geometric Distance on the Space of Tasks		0		Pratik Chaudhari, Yansong Gao
326		Maximum Mean Discrepancy Test is Aware of Adversarial Attacks		0		Bo Han, Feng Liu, Gang Niu, Jingfeng Zhang, Masashi Sugiyama, Ruize Gao, Tongliang Liu
327		Unsupervised Co-part Segmentation through Assembly		0		Baoquan Chen, Bin Wang, Libin Liu, Qingzhe Gao
328		Discriminative Complementary-Label Learning with Weighted Loss		0		MinLing Zhang, Yi Gao
329		RATT: Leveraging Unlabeled Data to Guarantee Generalization		0		J. Zico Kolter, Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
330		On Proximal Policy Optimization's Heavy-tailed Gradients		0		Adarsh Prasad, Emilio Parisotto, J. Zico Kolter, Joshua Zhanson, Pradeep Ravikumar, Ruslan Salakhutdinov, Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
331		What does LIME really see in images?		0		Damien Garreau, Dina Mardaoui
332		Parametric Graph for Unimodal Ranking Bandit		0		Boammani Aser Lompo, CamilleSovanneary Gauthier, Romaric Gaudel, Élisa Fromont
333		Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework		0		Filip Mazowiecki, Floris Geerts, Guillermo A. Pérez
334		On the difficulty of unbiased alpha divergence minimization		0		Justin Domke, Tomas Geffner
335		How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference		0		Amanda Gentzel, David D. Jensen, Purva Pruthi
336		Strategic Classification in the Dark		0		Ganesh Ghalme, Inbal TalgamCohen, Itay Eilat, Nir Rosenfeld, Vineet Nair
337		EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL		0		Dale Schuurmans, Seyed Kamyar Seyed Ghasemipour, Shixiang Shane Gu
338		Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message		0		Amer Sinha, Badih Ghazi, Pasin Manurangsi, Rasmus Pagh, Ravi Kumar
339		The Power of Adaptivity for Stochastic Submodular Cover		0		Anupam Gupta, Rohan Ghuge, Viswanath Nagarajan
340		Differentially Private Quantiles		0		Alex Kulesza, Jennifer Gillenwater, Matthew Joseph
341		Query Complexity of Adversarial Attacks		0		Grzegorz Gluch, Rüdiger L. Urbanke
342		Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective		0		Claudia Clopath, Florin Gogianu, Lucian Busoniu, Mihaela Rosca, Razvan Pascanu, Tudor Berariu
343		12-Lead ECG Reconstruction via Koopman Operators		0		Daniel Freedman, Kira Radinsky, Saar Minha, Tomer Golany
344		Function Contrastive Learning of Transferable Meta-Representations		0		Bernhard Schölkopf, Manuel Wuthrich, Muhammad Waleed Gondal, Nasim Rahaman, Shruti Joshi, Stefan Bauer
345		Active Slices for Sliced Stein Discrepancy		0		José Miguel HernándezLobato, Kaibo Zhang, Wenbo Gong, Yingzhen Li
346		On the Problem of Underranking in Group-Fair Ranking		0		Amit Deshpande, Anand Louis, Sruthi Gorantla
347		MARINA: Faster Non-Convex Distributed Learning with Compression		0		Eduard Gorbunov, Konstantin Burlachenko, Peter Richtárik, Zhize Li
348		Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures		0		Alexey Tikhonov, Liudmila Prokhorenkova, Martijn Gösgens
349		Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline		0		Alejandro Newell, Ankit Goyal, Bowei Liu, Hei Law, Jia Deng
350		Dissecting Supervised Constrastive Learning		0		Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
351		Oops I Took A Gradient: Scalable Sampling for Discrete Distributions		0		Chris J. Maddison, David Duvenaud, Kevin Swersky, Milad Hashemi, Will Grathwohl
352		Detecting Rewards Deterioration in Episodic Reinforcement Learning		0		Ido Greenberg, Shie Mannor
353		Crystallization Learning with the Delaunay Triangulation		0		Guosheng Yin, Jiaqi Gu
354		AutoAttend: Automated Attention Representation Search		0		Chaoyu Guan, Wenwu Zhu, Xin Wang
355		Operationalizing Complex Causes: A Pragmatic View of Mediation		0		David S. Watson, Limor Gultchin, Matt J. Kusner, Ricardo Silva
356		On a Combination of Alternating Minimization and Nesterov's Momentum		0		Alexander V. Gasnikov, Nazarii Tupitsa, Pavel E. Dvurechensky, Sergey Guminov
357		Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games		0		Hongyi Guo, Zhaoran Wang, Zhuoran Yang, Zuyue Fu
358		Adversarial Policy Learning in Two-player Competitive Games		0		Sui Huang, Wenbo Guo, Xian Wu, Xinyu Xing
359		Soft then Hard: Rethinking the Quantization in Neural Image Compression		0		Runsen Feng, Zhibo Chen, Zhizheng Zhang, Zongyu Guo
360		UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning		0		Anuj Mahajan, Bei Peng, Shimon Whiteson, Tarun Gupta, Wendelin Boehmer
361		Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting		0		Aaditya Ramdas, Chirag Gupta
362		Correcting Exposure Bias for Link Recommendation		0		Hao Wang, Shantanu Gupta, Yuyang Wang, Zachary C. Lipton
363		The Heavy-Tail Phenomenon in SGD		0		Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli
364		Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks		0		Bo Li, Ce Zhang, Luka Rimanic, Nezihe Merve Gürel, Xiangyu Qi
365		Adapting to Delays and Data in Adversarial Multi-Armed Bandits		0		András György, Pooria Joulani
366		Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning		0		Behrad Moniri, Hassan HafezKolahi, Mahdieh Soleymani Baghshah, Shohreh Kasaei
367		Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach		0		Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
368		Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration		0		Seungyul Han, Youngchul Sung
369		Adversarial Combinatorial Bandits with General Non-linear Reward Functions		0		Xi Chen, Yanjun Han, Yining Wang
370		A Collective Learning Framework to Boost GNN Expressiveness for Node Classification		0		Bruno Ribeiro, Jennifer Neville, Mengyue Hang
371		Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning		0		Austin W. Hanjie, Karthik Narasimhan, Victor Zhong
372		Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient		0		Botao Hao, Csaba Szepesvári, Mengdi Wang, Tor Lattimore, Yaqi Duan
373		Bootstrapping Fitted Q-Evaluation for Off-Policy Inference		0		Botao Hao, Csaba Szepesvári, Hao Lu, Mengdi Wang, Xiang Ji, Yaqi Duan
374		Compressed Maximum Likelihood		0		Alon Orlitsky, Yi Hao
375		Valid Causal Inference with (Some) Invalid Instruments		0		Dhanya Sridhar, Jason S. Hartford, Kevin LeytonBrown, Victor Veitch
376		Model Performance Scaling with Multiple Data Sources		0		Tatsunori Hashimoto
377		Hierarchical VAEs Know What They Don't Know		0		Jakob Drachmann Havtorn, Jes Frellsen, Lars Maaløe, Søren Hauberg
378		Defense against backdoor attacks via robust covariance estimation		0		Jonathan Hayase, Raghav Somani, Sewoong Oh, Weihao Kong
379		Boosting for Online Convex Optimization		0		Elad Hazan, Karan Singh
380		PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models		0		Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr, Shen Li
381		SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform		0		Andrew Markham, Niki Trigoni, Yuhang He
382		Logarithmic Regret for Reinforcement Learning with Linear Function Approximation		0		Dongruo Zhou, Jiafan He, Quanquan Gu
383		Finding Relevant Information via a Discrete Fourier Expansion		0		Gil I. Shamir, Jithin K. Sreedharan, Mohsen Heidari, Wojciech Szpankowski
384		Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging		0		Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
385		Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity		0		DjorkArné Clevert, Floriane Montanari, Ryan Henderson
386		Muesli: Combining Improvements in Policy Optimization		0		Arthur Guez, David Silver, Fabio Viola, Hado van Hasselt, Ivo Danihelka, Laurent Sifre, Matteo Hessel, Simon Schmitt, Theophane Weber
387		Learning Representations by Humans, for Humans		0		David C. Parkes, Jack Cao, Mahzarin R. Banaji, Nir Rosenfeld, Sophie Hilgard
388		Optimizing Black-box Metrics with Iterative Example Weighting		0		Gaurush Hiranandani, Harikrishna Narasimhan, Jatin Mathur, Mahdi Milani Fard, Sanmi Koyejo
389		Trees with Attention for Set Prediction Tasks		0		Ran GiladBachrach, Roy Hirsch
390		Multiplicative Noise and Heavy Tails in Stochastic Optimization		0		Liam Hodgkinson, Michael W. Mahoney
391		MC-LSTM: Mass-Conserving LSTM		0		Christina Halmich, Daniel Klotz, Frederik Kratzert, Grey Nearing, Günter Klambauer, Markus Holzleitner, PieterJan Hoedt, Sepp Hochreiter
392		Learning Curves for Analysis of Deep Networks		0		Derek Hoiem, Michal ShlapentokhRothman, Tanmay Gupta, Zhizhong Li
393		Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes		0		Michael J. Hutchinson, Peter Holderrieth, Yee Whye Teh
394		Latent Programmer: Discrete Latent Codes for Program Synthesis		0		Charles Sutton, David Dohan, Joey Hong, Manzil Zaheer, Rishabh Singh
395		Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication		0		Heecheol Yang, Jungwoo Lee, Sangwoo Hong, Taehyun Cho, Youngseok Yoon
396		Federated Learning of User Verification Models Without Sharing Embeddings		0		Christos Louizos, Hossein Hosseini, Hyunsin Park, Joseph Soriaga, Max Welling, Sungrack Yun
397		The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets		0		Panayotis Mertikopoulos, Volkan Cevher, YaPing Hsieh
398		Near-Optimal Representation Learning for Linear Bandits and Linear RL		0		Chi Jin, Jiachen Hu, Lihong Li, Liwei Wang, Xiaoyu Chen
399		On the Random Conjugate Kernel and Neural Tangent Kernel		0		Heng Huang, Zhengmian Hu
400		Off-Belief Learning		0		Adam Lerer, Brandon Cui, Hengyuan Hu, Jakob N. Foerster, Luis Pineda, Noam Brown
401		Generalizable Episodic Memory for Deep Reinforcement Learning		0		Chongjie Zhang, Guangxiang Zhu, Hao Hu, Jianing Ye, Zhizhou Ren
402		A Scalable Deterministic Global Optimization Algorithm for Clustering Problems		0		Kaixun Hua, Mingfei Shi, Yankai Cao
403		On Recovering from Modeling Errors Using Testing Bayesian Networks		0		Adnan Darwiche, Haiying Huang
404		A Novel Sequential Coreset Method for Gradient Descent Algorithms		0		Hu Ding, Jiawei Huang, Nikolaos M. Freris, Ruomin Huang, Wenjie Liu
405		FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis		0		Baihe Huang, Xiaoxiao Li, Xin Yang, Zhao Song
406		STRODE: Stochastic Boundary Ordinary Differential Equation		0		Chang Xiao, Hao Wang, Hengguan Huang, Hongfu Liu, Ye Wang
407		A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance		0		Lifeng Lai, Minhui Huang, Shiqian Ma
408		Projection Robust Wasserstein Barycenters		0		Lifeng Lai, Minhui Huang, Shiqian Ma
409		Accurate Post Training Quantization With Small Calibration Sets		0		Daniel Soudry, Itay Hubara, Ron Banner, Yair Hanani, Yury Nahshan
410		Learning and Planning in Complex Action Spaces		0		David Silver, Ioannis Antonoglou, Julian Schrittwieser, Mohammadamin Barekatain, Simon Schmitt, Thomas Hubert
411		Generative Adversarial Transformers		0		Drew A. Hudson, Larry Zitnick
412		Neural Pharmacodynamic State Space Modeling		0		David A. Sontag, Rahul G. Krishnan, Zeshan M. Hussain
413		Hyperparameter Selection for Imitation Learning		0		Anton Raichuk, Damien Vincent, Lukasz Stafiniak, Léonard Hussenot, Manu Orsini, Marcin Andrychowicz, Matthieu Geist, Nikola Momchev, Olivier Bachem, Olivier Pietquin, Raphaël Marinier, Robert Dadashi, Sabela Ramos, Sertan Girgin
414		Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions		0		Charles A. Kamhoua, ChoYu Jason Chiang, Jeremy E. J. Cohen, Kevin Chan, Nandi O. Leslie, Todd Huster, Vyas Sekar, Zinan Lin
415		LieTransformer: Equivariant Self-Attention for Lie Groups		0		Charline Le Lan, Emilien Dupont, Hyunjik Kim, Michael J. Hutchinson, Sheheryar Zaidi, Yee Whye Teh
416		Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization		0		Shahana Ibrahim, Xiao Fu
417		Selecting Data Augmentation for Simulating Interventions		0		Jakub M. Tomczak, Maximilian Ilse, Patrick Forré
418		Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning		0		Alexander Immer, Gunnar Rätsch, Matthias Bauer, Mohammad Emtiyaz Khan, Vincent Fortuin
419		Active Learning for Distributionally Robust Level-Set Estimation		0		Ichiro Takeuchi, Shogo Iwazaki, Yu Inatsu
420		Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization		0		Hedda Cohen Indelman, Tamir Hazan
421		Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning		0		Bei Peng, Christian A. Schröder de Witt, Fei Sha, Shariq Iqbal, Shimon Whiteson, Wendelin Boehmer
422		Randomized Exploration in Reinforcement Learning with General Value Function Approximation		0		Alex Ayoub, Doina Precup, Haque Ishfaq, Lin Yang, Qiwen Cui, Viet Nguyen, Zhaoran Wang, Zhuoran Yang
423		Distributed Second Order Methods with Fast Rates and Compressed Communication		0		Peter Richtárik, Rustem Islamov, Xun Qian
424		What Are Bayesian Neural Network Posteriors Really Like?		0		Andrew Gordon Wilson, Matthew D. Hoffman, Pavel Izmailov, Sharad Vikram
425		How to Learn when Data Reacts to Your Model: Performative Gradient Descent		0		James Zou, Lexing Ying, Zachary Izzo
426		Perceiver: General Perception with Iterative Attention		0		Andrew Jaegle, Andrew Zisserman, Andy Brock, Felix Gimeno, João Carreira, Oriol Vinyals
427		Imitation by Predicting Observations		0		Andrew Jaegle, Arun Ahuja, Greg Wayne, Jake Bruce, Rob Fergus, Yury Sulsky
428		Local Correlation Clustering with Asymmetric Classification Errors		0		Jafar Jafarov, Konstantin Makarychev, Sanchit Kalhan, Yury Makarychev
429		Alternative Microfoundations for Strategic Classification		0		Celestine MendlerDünner, Meena Jagadeesan, Moritz Hardt
430		Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free		0		Alon Orlitsky, Ayush Jain
431		Instance-Optimal Compressed Sensing via Posterior Sampling		0		Ajil Jalal, Alex Dimakis, Eric Price, Sushrut Karmalkar
432		Fairness for Image Generation with Uncertain Sensitive Attributes		0		Ajil Jalal, Alex Dimakis, Eric Price, Jessica Hoffmann, Sushrut Karmalkar
433		Feature Clustering for Support Identification in Extreme Regions		0		Hamid Jalalzai, Rémi Leluc
434		Improved Regret Bounds of Bilinear Bandits using Action Space Analysis		0		KwangSung Jun, Kyoungseok Jang, SeYoung Yun, Wanmo Kang
435		Inverse Decision Modeling: Learning Interpretable Representations of Behavior		0		Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
436		Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization		0		Caiming Xiong, Devansh Arpit, Giancarlo Kerg, Huan Wang, Krzysztof J. Geras, Kyunghyun Cho, Oliver Åstrand, Richard Socher, Stanislaw Jastrzebski
437		Policy Gradient Bayesian Robust Optimization for Imitation Learning		0		Anca D. Dragan, Ashwin Balakrishna, Daniel S. Brown, Jerry Zhu, Ken Goldberg, Marek Petrik, Satvik Sharma, Zaynah Javed
438		In-Database Regression in Input Sparsity Time		0		Alireza Samadian, David P. Woodruff, Peng Ye, Rajesh Jayaram
439		Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics		0		John Thickstun, Vivek Jayaram
440		Objective Bound Conditional Gaussian Process for Bayesian Optimization		0		Heeyoung Kim, Taewon Jeong
441		Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding		0		Andrew Jesson, Sören Mindermann, Uri Shalit, Yarin Gal
442		DeepReDuce: ReLU Reduction for Fast Private Inference		0		Brandon Reagen, Nandan Kumar Jha, Siddharth Garg, Zahra Ghodsi
443		Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction		0		Aditi Jha, Jonathan W. Pillow, Michael J. Morais
444		Fast margin maximization via dual acceleration		0		Matus Telgarsky, Nathan Srebro, Ziwei Ji
445		Marginalized Stochastic Natural Gradients for Black-Box Variational Inference		0		Debora Sujono, Erik B. Sudderth, Geng Ji
446		Bilevel Optimization: Convergence Analysis and Enhanced Design		0		Junjie Yang, Kaiyi Ji, Yingbin Liang
447		Efficient Statistical Tests: A Neural Tangent Kernel Approach		0		Ehsan Nezhadarya, Jimmy Ba, Sheng Jia, Yuhuai Wu
448		Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision		0		Chao Jia, Hieu Pham, Quoc V. Le, Tom Duerig, Ye Xia, YiTing Chen, Yinfei Yang, YunHsuan Sung, Zarana Parekh, Zhen Li
449		Multi-Dimensional Classification via Sparse Label Encoding		0		BinBin Jia, MinLing Zhang
450		Self-Damaging Contrastive Learning		0		Bobak J. Mortazavi, Tianlong Chen, Zhangyang Wang, Ziyu Jiang
451		Prioritized Level Replay		0		Edward Grefenstette, Minqi Jiang, Tim Rocktäschel
452		Monotonic Robust Policy Optimization with Model Discrepancy		0		Chenglin Li, Hongkai Xiong, Junni Zou, Wenrui Dai, Yuankun Jiang
453		Approximation Theory of Convolutional Architectures for Time Series Modelling		0		Haotian Jiang, Qianxiao Li, Zhong Li
454		Streaming and Distributed Algorithms for Robust Column Subset Selection		0		Arvind V. Mahankali, David P. Woodruff, Dennis Li, Irene Mengze Li, Shuli Jiang
455		Single Pass Entrywise-Transformed Low Rank Approximation		0		David P. Woodruff, Jiaxin Wang, Yi Li, Yifei Jiang, Yiming Sun
456		The Emergence of Individuality		0		Jiechuan Jiang, Zongqing Lu
457		Online Selection Problems against Constrained Adversary		0		Pinyan Lu, Yuhao Zhang, Zhihao Gavin Tang, Zhihao Jiang
458		Active Covering		0		Afshin Rostamizadeh, Heinrich Jiang
459		Emphatic Algorithms for Deep Reinforcement Learning		0		Adam White, Charles Blundell, Hado van Hasselt, Matteo Hessel, Ray Jiang, Tom Zahavy, Zhongwen Xu
460		Characterizing Structural Regularities of Labeled Data in Overparameterized Models		0		Chiyuan Zhang, Kunal Talwar, Michael C. Mozer, Ziheng Jiang
461		Optimal Streaming Algorithms for Multi-Armed Bandits		0		Jing Tang, Keke Huang, Tianyuan Jin, Xiaokui Xiao
462		Towards Tight Bounds on the Sample Complexity of Average-reward MDPs		0		Aaron Sidford, Yujia Jin
463		Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits		0		Jing Tang, Keke Huang, Pan Xu, Quanquan Gu, Tianyuan Jin, Xiaokui Xiao
464		MOTS: Minimax Optimal Thompson Sampling		0		Jieming Shi, Pan Xu, Quanquan Gu, Tianyuan Jin, Xiaokui Xiao
465		Is Pessimism Provably Efficient for Offline RL?		0		Ying Jin, Zhaoran Wang, Zhuoran Yang
466		Adversarial Option-Aware Hierarchical Imitation Learning		0		Chuang Gan, Fuchun Sun, Lei Li, Mingxuan Jing, Tao Kong, Wenbing Huang, Xiaojian Ma
467		Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information		0		Changhun Jo, Kangwook Lee
468		Provable Lipschitz Certification for Generative Models		0		Alex Dimakis, Matt Jordan
469		Isometric Gaussian Process Latent Variable Model for Dissimilarity Data		0		Martin Jørgensen, Søren Hauberg
470		On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models		0		Ness B. Shroff, Peizhong Ju, Xiaojun Lin
471		Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits		0		Blake Mason, Houssam Nassif, KwangSung Jun, Lalit Jain
472		Detection of Signal in the Spiked Rectangular Models		0		Hye Won Chung, Ji Hyung Jung, Ji Oon Lee
473		Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning		0		Elias Bareinboim, Jin Tian, Yonghan Jung
474		A Nullspace Property for Subspace-Preserving Recovery		0		Chong You, Daniel P. Robinson, Enrique Mallada, Mustafa Devrim Kaba, René Vidal
475		Training Recurrent Neural Networks via Forward Propagation Through Time		0		Anil Kag, Venkatesh Saligrama
476		The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation		0		Peter Kairouz, Thomas Steinke, Ziyu Liu
477		Practical and Private (Deep) Learning Without Sampling or Shuffling		0		Abhradeep Thakurta, Brendan McMahan, Om Thakkar, Peter Kairouz, Shuang Song, Zheng Xu
478		A Differentiable Point Process with Its Application to Spiking Neural Networks		0		Hiroshi Kajino
479		Projection techniques to update the truncated SVD of evolving matrices with applications		0		Athanasios N. Nikolakopoulos, Georgios Kollias, Kenneth L. Clarkson, Lior Horesh, Shashanka Ubaru, Vasileios Kalantzis
480		Optimal Off-Policy Evaluation from Multiple Logging Policies		0		Masatoshi Uehara, Nathan Kallus, Yuta Saito
481		Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations		0		Angeliki Kamoutsi, Goran Banjac, John Lygeros
482		Statistical Estimation from Dependent Data		0		Anthimos Vardis Kandiros, Constantinos Daskalakis, Nishanth Dikkala, Surbhi Goel, Yuval Dagan
483		SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes		0		Andrew Gordon Wilson, Ke Alexander Wang, Marc Finzi, Sanyam Kapoor
484		Variational Auto-Regressive Gaussian Processes for Continual Learning		0		Sanyam Kapoor, Thang D. Bui, Theofanis Karaletsos
485		Off-Policy Confidence Sequences		0		Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro
486		Learning from History for Byzantine Robust Optimization		0		Lie He, Martin Jaggi, Sai Praneeth Karimireddy
487		Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation		0		Masahiro Kato, Takeshi Teshima
488		Improved Algorithms for Agnostic Pool-based Active Classification		0		Jifan Zhang, Julian KatzSamuels, Kevin Jamieson, Lalit Jain
489		When Does Data Augmentation Help With Membership Inference Attacks?		0		Tudor Dumitras, Yigitcan Kaya
490		Regularized Submodular Maximization at Scale		0		Amin Karbasi, Ehsan Kazemi, Moran Feldman, Shervin Minaee
491		Prior Image-Constrained Reconstruction using Style-Based Generative Models		0		Mark A. Anastasio, Varun A. Kelkar
492		Self Normalizing Flows		0		Emiel Hoogeboom, Jorn W. T. Peters, Max Welling, Patrick Forré, Priyank Jaini, T. Anderson Keller
493		Interpretable Stability Bounds for Spectral Graph Filters		0		Dorina Thanou, Henry Kenlay, Xiaowen Dong
494		Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets		0		Damien Scieur, Lewis Liu, Simon LacosteJulien, Thomas Kerdreux
495		Markpainting: Adversarial Machine Learning meets Inpainting		0		David Khachaturov, Ilia Shumailov, Nicolas Papernot, Ross J. Anderson, Yiren Zhao
496		Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm		0		Sajad Khodadadian, Siva Theja Maguluri, Zaiwei Chen
497		Functional Space Analysis of Local GAN Convergence		0		Artem Babenko, Ivan V. Oseledets, Valentin Khrulkov
498		"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms		0		Patrick Kidger, Ricky T. Q. Chen, Terry J. Lyons
499		Neural SDEs as Infinite-Dimensional GANs		0		James Foster, Patrick Kidger, Terry J. Lyons, Xuechen Li
500		GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training		0		Abir De, Durga Sivasubramanian, Ganesh Ramakrishnan, KrishnaTeja Killamsetty, Rishabh K. Iyer
501		Improving Predictors via Combination Across Diverse Task Categories		0		Kwang In Kim
502		Self-Improved Retrosynthetic Planning		0		Hankook Lee, Jinwoo Shin, Junsu Kim, Sungsoo Ahn
503		Reward Identification in Inverse Reinforcement Learning		0		Kirankumar Shiragur, Kuno Kim, Shivam Garg, Stefano Ermon
504		I-BERT: Integer-only BERT Quantization		0		Amir Gholami, Kurt Keutzer, Michael W. Mahoney, Sehoon Kim, Zhewei Yao
505		Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning		0		ByoungTak Zhang, Hyundo Lee, Hyunseo Kim, Injune Hwang, Joseph J. Lim, Taehyeong Kim, WonSeok Choi
506		Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech		0		Jaehyeon Kim, Juhee Son, Jungil Kong
507		A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning		0		Chuangchuang Sun, DongKi Kim, Gerald Tesauro, Golnaz Habibi, Jonathan P. How, Marwa Abdulhai, Matthew Riemer, Miao Liu, Sebastian LopezCot
508		Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations		0		Carlos D. Brody, Jonathan W. Pillow, Thomas Zhihao Luo, Timothy D. Kim
509		The Lipschitz Constant of Self-Attention		0		Andriy Mnih, George Papamakarios, Hyunjik Kim
510		Unsupervised Skill Discovery with Bottleneck Option Learning		0		Gunhee Kim, Jaekyeom Kim, Seohong Park
511		ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision		0		Bokyung Son, Ildoo Kim, Wonjae Kim
512		Bias-Robust Bayesian Optimization via Dueling Bandits		0		Andreas Krause, Johannes Kirschner
513		CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients		0		Dani Kiyasseh, David A. Clifton, Tingting Zhu
514		Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More		0		Johannes Klicpera, Marten Lienen, Stephan Günnemann
515		Representational aspects of depth and conditioning in normalizing flows		0		Andrej Risteski, Frederic Koehler, Viraj Mehta
516		WILDS: A Benchmark of in-the-Wild Distribution Shifts		0		Akshay Balsubramani, Anshul Kundaje, Berton Earnshaw, Chelsea Finn, Emma Pierson, Etienne David, Henrik Marklund, Ian Stavness, Imran S. Haque, Irena Gao, Jure Leskovec, Marvin Zhang, Michihiro Yasunaga, Pang Wei Koh, Percy Liang, Richard Lanas Phillips, Sang Michael Xie, Sara M. Beery, Sergey Levine, Shiori Sagawa, Tony Lee, Wei Guo, Weihua Hu
517		One-sided Frank-Wolfe algorithms for saddle problems		0		Thomas Pock, Vladimir Kolmogorov
518		A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning		0		Abi Komanduru, Jean Honorio
519		Consensus Control for Decentralized Deep Learning		0		Anastasia Koloskova, Lingjing Kong, Martin Jaggi, Sebastian U. Stich, Tao Lin
520		A Distribution-dependent Analysis of Meta Learning		0		Csaba Szepesvári, Ilja Kuzborskij, Mikhail Konobeev
521		Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?		0		AnnaKathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann
522		Kernel Stein Discrepancy Descent		0		Anna Korba, Pierre Ablin, PierreCyril AubinFrankowski, Szymon Majewski
523		Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size		0		Amar Phanishayee, Debadeepta Dey, Jack Kosaian, Matthai Philipose, Rashmi Vinayak
524		NeRF-VAE: A Geometry Aware 3D Scene Generative Model		0		Adam R. Kosiorek, Daniel Zoran, Danilo Jimenez Rezende, Heiko Strathmann, Pol Moreno, Rosalia Schneider, Sona Mokrá
525		Active Testing: Sample-Efficient Model Evaluation		0		Jannik Kossen, Sebastian Farquhar, Tom Rainforth, Yarin Gal
526		High Confidence Generalization for Reinforcement Learning		0		Georgios Theocharous, James E. Kostas, Philip S. Thomas, Scott M. Jordan, Yash Chandak
527		Offline Reinforcement Learning with Fisher Divergence Critic Regularization		0		Ilya Kostrikov, Jonathan Tompson, Ofir Nachum, Rob Fergus
528		ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks		0		Alexander Rogozin, Alexander V. Gasnikov, Dmitry Kovalev, Egor Shulgin, Peter Richtárik
529		Revisiting Peng's Q(λ) for Modern Reinforcement Learning		0		David Abel, Mark Rowland, Michal Valko, Rémi Munos, Steven Kapturowski, Tadashi Kozuno, Will Dabney, Yunhao Tang
530		Adapting to misspecification in contextual bandits with offline regression oracles		0		Sanath Kumar Krishnamurthy, Susan Athey, Vitor Hadad
531		Out-of-Distribution Generalization via Risk Extrapolation (REx)		0		Aaron C. Courville, Amy Zhang, David Krueger, Dinghuai Zhang, Ethan Caballero, Jonathan Binas, JörnHenrik Jacobsen, Rémi Le Priol
532		Near-Optimal Confidence Sequences for Bounded Random Variables		0		Arun K. Kuchibhotla, Qinqing Zheng
533		Differentially Private Bayesian Inference for Generalized Linear Models		0		Antti Honkela, Antti Koskela, Joonas Jälkö, Samuel Kaski, Tejas Kulkarni
534		Bayesian Structural Adaptation for Continual Learning		0		Abhishek Kumar, Piyush Rai, Sunabha Chatterjee
535		Implicit rate-constrained optimization of non-decomposable objectives		0		Abhishek Kumar, Andrew Cotter, Harikrishna Narasimhan
536		A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples		0		Christian Kümmerle, Claudio Mayrink Verdun
537		Meta-Thompson Sampling		0		Branislav Kveton, ChihWei Hsu, Craig Boutilier, Csaba Szepesvári, Manzil Zaheer, Martin Mladenov, Mikhail Konobeev
538		Targeted Data Acquisition for Evolving Negotiation Agents		0		Dorsa Sadigh, MarianoFlorentino Cuellar, Minae Kwon, Siddharth Karamcheti
539		ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks		0		Hyunseo Park, In Kwon Choi, Jeongseop Kim, Jungmin Kwon
540		On the price of explainability for some clustering problems		0		Eduardo Sany Laber, Lucas Murtinho
541		Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality		0		Jonathan Lacotte, Mert Pilanci, Yifei Wang
542		Generalization Bounds in the Presence of Outliers: a Median-of-Means Study		0		Guillaume Staerman, Pierre Laforgue, Stéphan Clémençon
543		Model Fusion for Personalized Learning		0		Bryan Kian Hsiang Low, Patrick Jaillet, Thanh Chi Lam, Trong Nghia Hoang
544		Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix		0		David Brooks, GuYeon Wei, Maximilian Lam, Michael Mitzenmacher, Vijay Janapa Reddi
545		Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions		0		Shahar Segal, Tal Lancewicki, Tomer Koren, Yishay Mansour
546		Discovering symbolic policies with deep reinforcement learning		0		Brenden K. Petersen, Cláudio P. Santiago, Daniel M. Faissol, Jacob F. Pettit, Mikel Landajuela, Ruben Glatt, Sookyung Kim, T. Nathan Mundhenk
547		Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)		0		Aravindan Vijayaraghavan, David A. Sontag, Hunter Lang
548		Efficient Message Passing for 0-1 ILPs with Binary Decision Diagrams		0		JanHendrik Lange, Paul Swoboda
549		CountSketches, Feature Hashing and the Median of Three		0		Jakub Tetek, Kasper Green Larsen, Rasmus Pagh
550		MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space		0		Philipp Berens, Sophie Laturnus
551		Improved Regret Bound and Experience Replay in Regularized Policy Iteration		0		Csaba Szepesvári, Dong Yin, Nevena Lazic, Yasin AbbasiYadkori
552		LAMDA: Label Matching Deep Domain Adaptation		0		Dinh Phung, Hung Bui, Nhat Ho, Trung Le, Tuan Nguyen
553		Gaussian Process-Based Real-Time Learning for Safety Critical Applications		0		Alejandro Jose Ordóñez Conejo, Armin Lederer, Jonas Umlauft, Korbinian Maier, Sandra Hirche, Wenxin Xiao
554		Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer		0		Eric Eaton, Seungwon Lee, Sima Behpour
555		Fair Selective Classification Via Sufficiency		0		Deepta Rajan, Gregory W. Wornell, Joshua K. Lee, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Yuheng Bu
556		On-the-fly Rectification for Robust Large-Vocabulary Topic Inference		0		David Bindel, David Mimno, Kun Dong, Moontae Lee, Sungjun Cho
557		Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification		0		Dong Hoon Lee, SaeYoung Chung
558		Continual Learning in the Teacher-Student Setup: Impact of Task Similarity		0		Andrew M. Saxe, Sebastian Goldt, Sebastian Lee
559		OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation		0		ByungJun Lee, Joelle Pineau, Jongmin Lee, KeeEung Kim, Wonseok Jeon
560		SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning		0		Aravind Srinivas, Kimin Lee, Michael Laskin, Pieter Abbeel
561		Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously		0		ChenYu Wei, ChungWei Lee, Haipeng Luo, Mengxiao Zhang, Xiaojin Zhang
562		PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training		0		Kimin Lee, Laura M. Smith, Pieter Abbeel
563		Near-Optimal Linear Regression under Distribution Shift		0		Jason D. Lee, Qi Lei, Wei Hu
564		Stability and Generalization of Stochastic Gradient Methods for Minimax Problems		0		Tianbao Yang, Yiming Ying, Yunwen Lei, Zhenhuan Yang
565		Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot		0		Alexander Vezhnevets, Charlie Beattie, Edgar A. DuéñezGuzmán, Igor Mordatch, Jayd Matyas, Joel Z. Leibo, John P. Agapiou, Peter Sunehag, Raphael Koster, Thore Graepel
566		Better Training using Weight-Constrained Stochastic Dynamics		0		Amos J. Storkey, Benedict J. Leimkuhler, Tiffany J. Vlaar, Timothée Pouchon
567		Globally-Robust Neural Networks		0		Klas Leino, Matt Fredrikson, Zifan Wang
568		Learning to Price Against a Moving Target		0		Balasubramanian Sivan, Pratik Worah, Renato Paes Leme, Yifeng Teng
569		SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data		0		Cristopher Salvi, Edwin V. Bonilla, Maud Lemercier, Terry J. Lyons, Theodoros Damoulas, Thomas Cass
570		Strategic Classification Made Practical		0		Nir Rosenfeld, Sagi Levanon
571		Improved, Deterministic Smoothing for L1 Certified Robustness		0		Alexander Levine, Soheil Feizi
572		BASE Layers: Simplifying Training of Large, Sparse Models		0		Luke Zettlemoyer, Mike Lewis, Naman Goyal, Shruti Bhosale, Tim Dettmers
573		Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models		0		José Lezama, Qiang Qiu, Wei Chen
574		PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization		0		Hongyan Bao, Peter Richtárik, Xiangliang Zhang, Zhize Li
575		Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning		0		Changxiao Cai, Gen Li, Yuantao Gu, Yuejie Chi, Yuting Wei, Yuxin Chen
576		Winograd Algorithm for AdderNet		0		Chunjing Xu, Hanting Chen, Mingqiang Huang, Wenshuo Li, Xinghao Chen, Yunhe Wang
577		A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration		0		Ruihao Gong, Shi Gu, Shikuang Deng, Xin Dong, Yuhang Li
578		Privacy-Preserving Feature Selection with Secure Multiparty Computation		0		Martine De Cock, Rafael Dowsley, Xiling Li
579		Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph		0		Gen Li, Yuantao Gu
580		MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning		0		Abhishek Gupta, Ashwin Reddy, Aurick Zhou, Justin Yu, Kevin Li, Sergey Levine, Vitchyr H. Pong
581		Ditto: Fair and Robust Federated Learning Through Personalization		0		Ahmad Beirami, Shengyuan Hu, Tian Li, Virginia Smith
582		Quantization Algorithms for Random Fourier Features		0		Ping Li, Xiaoyun Li
583		Approximate Group Fairness for Clustering		0		Ankang Sun, Bo Li, Chenhao Wang, Lijun Li, Yingfan Wang
584		Sharper Generalization Bounds for Clustering		0		Shaojie Li, Yong Liu
585		Provably End-to-end Label-noise Learning without Anchor Points		0		Bo Han, Gang Niu, Masashi Sugiyama, Tongliang Liu, Xuefeng Li
586		A Novel Method to Solve Neural Knapsack Problems		0		Ali Seyedmazloom, Dongeun Lee, Duanshun Li, Giridhar Kaushik, Jing Liu, Kookjin Lee, Noseong Park
587		Mixed Cross Entropy Loss for Neural Machine Translation		0		Haoran Li, Wei Lu
588		Training Graph Neural Networks with 1000 Layers		0		Bernard Ghanem, Guohao Li, Matthias Müller, Vladlen Koltun
589		Active Feature Acquisition with Generative Surrogate Models		0		Junier Oliva, Yang Li
590		Partially Observed Exchangeable Modeling		0		Junier Oliva, Yang Li
591		Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions		0		Minxue Pan, Tian Zhang, Xuandong Li, Zhong Li
592		The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks		0		Chunlin Sun, Xiaocheng Li, Yinyu Ye
593		Distributionally Robust Optimization with Markovian Data		0		Daniel Kuhn, Mengmeng Li, Tobias Sutter
594		Communication-Efficient Distributed SVD via Local Power Iterations		0		Kun Chen, Shusen Wang, Xiang Li, Zhihua Zhang
595		FILTRA: Rethinking Steerable CNN by Filter Transform		0		Bo Li, Gim Hee Lee, Qili Wang
596		Online Unrelated Machine Load Balancing with Predictions Revisited		0		Jiayi Xian, Shi Li
597		Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator		0		Chuanlong Xie, Qinwen Wang, Zeng Li
598		TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models		0		Danyang Zhuo, Dawn Song, Hao Zhang, Ion Stoica, Shiyuan Guo, Siyuan Zhuang, Zhuohan Li
599		A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance		0		Francesco Orabona, Xiaoyu Li, Zhenxun Zhuang
600		Towards Understanding and Mitigating Social Biases in Language Models		0		Chiyu Wu, LouisPhilippe Morency, Paul Pu Liang, Ruslan Salakhutdinov
601		Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability		0		Bo Li, Boxin Wang, Jacky Y. Zhang, Kaizhao Liang, Sanmi Koyejo, Zhuolin Yang
602		Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning		0		Cy Lee, Jin Zhou, Krishnendu Chakrabarty, TsungYi Ho, TungChe Liang, YunSheng Chan
603		Information Obfuscation of Graph Neural Networks		0		Geoffrey J. Gordon, Han Zhao, Keyulu Xu, Peiyuan Liao, Ruslan Salakhutdinov, Stefanie Jegelka, Tommi S. Jaakkola
604		Guided Exploration with Proximal Policy Optimization using a Single Demonstration		0		Gabriele Libardi, Gianni De Fabritiis, Sebastian Dittert
605		Debiasing a First-order Heuristic for Approximate Bi-level Optimization		0		Adrian Weller, Jared Quincy Davis, Krzysztof Choromanski, Valerii Likhosherstov, Xingyou Song
606		Making transport more robust and interpretable by moving data through a small number of anchor points		0		ChiHeng Lin, Eva L. Dyer, Mehdi Azabou
607		Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation		0		Shafiq R. Joty, Simeng Han, Xiang Lin
608		Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data		0		Martin Jaggi, Sai Praneeth Karimireddy, Sebastian U. Stich, Tao Lin
609		Generative Causal Explanations for Graph Neural Networks		0		Baochun Li, Hao Lan, Wanyu Lin
610		Tractable structured natural-gradient descent using local parameterizations		0		Frank Nielsen, Mark Schmidt, Mohammad Emtiyaz Khan, Wu Lin
611		Active Learning of Continuous-time Bayesian Networks through Interventions		0		Dominik Linzner, Heinz Koeppl
612		Phase Transitions, Distance Functions, and Implicit Neural Representations		0		Yaron Lipman
613		The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression		0		Florian List
614		Understanding Instance-Level Label Noise: Disparate Impacts and Treatments		0		Yang Liu
615		APS: Active Pretraining with Successor Features		0		Hao Liu, Pieter Abbeel
616		Learning by Turning: Neural Architecture Aware Optimisation		0		Jeremy Bernstein, Markus Meister, Yang Liu, Yisong Yue
617		Dynamic Game Theoretic Neural Optimizer		0		Evangelos A. Theodorou, GuanHorng Liu, Tianrong Chen
618		Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks		0		Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
619		Just Train Twice: Improving Group Robustness without Training Group Information		0		Aditi Raghunathan, Annie S. Chen, Behzad Haghgoo, Chelsea Finn, Evan Zheran Liu, Pang Wei Koh, Percy Liang, Shiori Sagawa
620		Event Outlier Detection in Continuous Time		0		Milos Hauskrecht, Siqi Liu
621		Heterogeneous Risk Minimization		0		Bo Li, Jiashuo Liu, Peng Cui, Zheyan Shen, Zheyuan Hu
622		Stochastic Iterative Graph Matching		0		Linfeng Liu, Liping Liu, Michael C. Hughes, Soha Hassoun
623		Cooperative Exploration for Multi-Agent Deep Reinforcement Learning		0		Alexander G. Schwing, IouJen Liu, Raymond A. Yeh, Unnat Jain
624		Elastic Graph Neural Networks		0		Hua Liu, Jiliang Tang, Ming Yan, Wei Jin, Xiaorui Liu, Yao Ma, Yaxin Li, Yiqi Wang
625		One Pass Late Fusion Multi-view Clustering		0		Chang Tang, En Zhu, Jiyuan Liu, Li Liu, Qing Liao, Siwei Wang, Wenxuan Tu, Xinwang Liu, Yi Zhang
626		Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition		0		Anima Anandkumar, Animesh Garg, Bo Liu, Peter Stone, Qiang Liu, Yuke Zhu
627		From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments		0		Bakhadyr Khoussainov, Jiamou Liu, Kaibin Wan, Liehuang Zhu, Yiwei Liu, Zhan Qin, Zijian Zhang
628		A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization		0		Jin Zhang, Risheng Liu, Shangzhi Zeng, Xiaoming Yuan, Xuan Liu
629		Selfish Sparse RNN Training		0		Decebal Constantin Mocanu, Mykola Pechenizkiy, Shiwei Liu, Yulong Pei
630		Temporal Difference Learning as Gradient Splitting		0		Alex Olshevsky, Rui Liu
631		On Robust Mean Estimation under Coordinate-level Corruption		0		Christos Tzamos, Jongho Park, Theodoros Rekatsinas, Zifan Liu
632		Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices		0		Aditi Raghunathan, Chelsea Finn, Evan Zheran Liu, Percy Liang
633		How Do Adam and Training Strategies Help BNNs Optimization		0		Dong Huang, Koen Helwegen, KwangTing Cheng, Shichao Li, Zechun Liu, Zhiqiang Shen
634		SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis		0		Shiliang Sun, Yuhan Liu
635		Learning Deep Neural Networks under Agnostic Corrupted Supervision		0		Boyang Liu, Ding Wang, Jiayu Zhou, Mengying Sun, PangNing Tan
636		Leveraging Public Data for Practical Private Query Release		0		Giuseppe Vietri, Jonathan R. Ullman, Terrance Liu, Thomas Steinke, Zhiwei Steven Wu
637		Watermarking Deep Neural Networks with Greedy Residuals		0		Hanwen Liu, Yuesheng Zhu, Zhenyu Weng
638		Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training		0		Decebal Constantin Mocanu, Lu Yin, Mykola Pechenizkiy, Shiwei Liu
639		A Sharp Analysis of Model-based Reinforcement Learning with Self-Play		0		Chi Jin, Qinghua Liu, Tiancheng Yu, Yu Bai
640		Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?		0		Geng Yuan, Jian Ren, Jian Tang, Ning Liu, Qing Jin, Sijia Liu, Xiaolong Ma, Xuan Shen, Yanzhi Wang, Zhengping Che
641		Group Fisher Pruning for Practical Network Compression		0		Aojun Zhou, JingHao Xue, Liyang Liu, Qingmin Liao, Shilong Zhang, Wayne Zhang, Wenming Yang, Xinjiang Wang, Yimin Chen, Zhanghui Kuang
642		Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport		0		Lewis Liu, Reza Babanezhad, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang
643		Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent		0		Kangqiao Liu, Liu Ziyin, Masahito Ueda
644		Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning		0		Jinhang Zuo, John C. S. Lui, Wei Chen, Xiaowei Chen, Xutong Liu
645		Relative Positional Encoding for Transformers with Linear Complexity		0		Antoine Liutkus, Gaël Richard, Ondrej Cífka, ShihLun Wu, Umut Simsekli, YiHsuan Yang
646		Joint Online Learning and Decision-making via Dual Mirror Descent		0		Alfonso Lobos, Paul Grigas, Zheng Wen
647		Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach		0		Anna Wienhard, Beatrice Pozzetti, Federico López, Michael Strube, Steve Trettel
648		HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture		0		Lei Jiang, Qian Lou
649		Optimal Complexity in Decentralized Training		0		Christopher De Sa, Yucheng Lu
650		DANCE: Enhancing saliency maps using decoys		0		Wenbo Guo, William Stafford Noble, Xinyu Xing, Yang Young Lu
651		Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification		0		Gang Niu, Issei Sato, Masashi Sugiyama, Nan Lu, Shida Lei
652		Variance Reduced Training with Stratified Sampling for Forecasting Models		0		Christopher De Sa, Dean P. Foster, Lifan Chen, Youngsuk Park, Yucheng Lu, Yuyang Wang
653		ACE: Explaining cluster from an adversarial perspective		0		Giancarlo Bonora, Timothy C. Yu, William Stafford Noble, Yang Young Lu
654		On Monotonic Linear Interpolation of Neural Network Parameters		0		James Lucas, Juhan Bae, Michael R. Zhang, Richard S. Zemel, Roger B. Grosse, Stanislav Fort
655		Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies		0		Asja Fischer, Denis Lukovnikov
656		GraphDF: A Discrete Flow Model for Molecular Graph Generation		0		Keqiang Yan, Shuiwang Ji, Youzhi Luo
657		Trajectory Diversity for Zero-Shot Coordination		0		Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster
658		HyperHyperNetwork for the Design of Antenna Arrays		0		Lior Wolf, Shahar Lutati
659		Value Iteration in Continuous Actions, States and Time		0		Animesh Garg, Dieter Fox, Jan Peters, Michael Lutter, Shie Mannor
660		Meta-Cal: Well-controlled Post-hoc Calibration by Ranking		0		Matthew B. Blaschko, Xingchen Ma
661		Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface		0		Baorui Ma, Matthias Zwicker, YuShen Liu, Zhizhong Han
662		Learning Stochastic Behaviour from Aggregate Data		0		Haomin Zhou, Hongyuan Zha, Shaojun Ma, Shu Liu
663		Local Algorithms for Finding Densely Connected Clusters		0		He Sun, Peter Macgregor
664		Learning to Generate Noise for Multi-Attack Robustness		0		Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
665		Learning Interaction Kernels for Agent Systems on Riemannian Manifolds		0		Hongda Qiu, Jason Miller, Mauro Maggioni, Ming Zhong
666		Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning		0		Animashree Anandkumar, Animesh Garg, Anuj Mahajan, Jean Kossaifi, Lei Mao, Mikayel Samvelyan, Shimon Whiteson, Viktor Makoviychuk, Yuke Zhu
667		Domain Generalization using Causal Matching		0		Amit Sharma, Divyat Mahajan, Shruti Tople
668		Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness		0		Mikael Johansson, Vien V. Mai
669		Nonparametric Hamiltonian Monte Carlo		0		Carol Mak, Fabian Zaiser, Luke Ong
670		Exploiting structured data for learning contagious diseases under incomplete testing		0		David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag, Lauren West, Maggie Makar
671		Near-Optimal Algorithms for Explainable k-Medians and k-Means		0		Konstantin Makarychev, Liren Shan
672		KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning		0		Ashok Vardhan Makkuva, Hessam Mahdavifar, Mohammad Vahid Jamali, Pramod Viswanath, Sewoong Oh, Xiyang Liu
673		Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels		0		Emmanuel Abbe, Eran Malach, Nathan Srebro, Pritish Kamath
674		Inverse Constrained Reinforcement Learning		0		Ali Ahmed, Alireza Aghasi, Shehryar Malik, Usman Anwar
675		A Sampling-Based Method for Tensor Ring Decomposition		0		Osman Asif Malik, Stephen Becker
676		Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity		0		Aldo Pacchiano, Dhruv Malik, Vishwak Srinivasan, Yuanzhi Li
677		Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design		0		Bolong Cheng, Eric Hans Lee, Gustavo Malkomes, Mike Mccourt
678		Consistent Nonparametric Methods for Network Assisted Covariate Estimation		0		Deepayan Chakrabarti, Purnamrita Sarkar, Xueyu Mao
679		Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs		0		David SimchiLevi, Kaiqing Zhang, Ruihao Zhu, Tamer Basar, Weichao Mao
680		Adaptive Sampling for Best Policy Identification in Markov Decision Processes		0		Alexandre Proutière, Aymen Al Marjani
681		Explanations for Monotonic Classifiers		0		Alexey Ignatiev, João MarquesSilva, Martin C. Cooper, Nina Narodytska, Thomas Gerspacher
682		Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers		0		Karl Tuyls, Luke Marris, Marc Lanctot, Paul Muller, Thore Graepel
683		Blind Pareto Fairness and Subgroup Robustness		0		Afroditi Papadaki, Guillermo Sapiro, Martín Bertrán, Miguel R. D. Rodrigues, Natalia Martínez
684		Necessary and sufficient conditions for causal feature selection in time series with latent common causes		0		AtalantiAnastasia Mastakouri, Bernhard Schölkopf, Dominik Janzing
685		Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction		0		Afsaneh Mastouri, Anna Korba, Arthur Gretton, Krikamol Muandet, Limor Gultchin, Matt J. Kusner, Ricardo Silva, Yuchen Zhu
686		Robust Unsupervised Learning via L-statistic Minimization		0		Andrea Paudice, Andreas Maurer, Daniela Angela Parletta, Massimiliano Pontil
687		Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees		0		Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Eli Upfal, Stephen H. Bach
688		Fundamental Tradeoffs in Distributionally Adversarial Training		0		Adel Javanmard, Anup B. Rao, Mohammad Mehrabi, Ryan A. Rossi, Tung Mai
689		Leveraging Non-uniformity in First-order Non-convex Optimization		0		Bo Dai, Csaba Szepesvári, Dale Schuurmans, Jincheng Mei, Yue Gao
690		Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks		0		Eli A. Meirom, Gal Chechik, Haggai Maron, Shie Mannor
691		A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions		0		Gabriel Mel, Surya Ganguli
692		Neural Architecture Search without Training		0		Amos J. Storkey, Elliot J. Crowley, Jack Turner, Joe Mellor
693		Fast active learning for pure exploration in reinforcement learning		0		Anders Jonsson, Edouard Leurent, Emilie Kaufmann, Michal Valko, Omar Darwiche Domingues, Pierre Ménard
694		UCB Momentum Q-learning: Correcting the bias without forgetting		0		Michal Valko, Omar Darwiche Domingues, Pierre Ménard, Xuedong Shang
695		An Integer Linear Programming Framework for Mining Constraints from Data		0		KaiWei Chang, Tao Meng
696		A statistical perspective on distillation		0		Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar, Sashank J. Reddi, Seungyeon Kim
697		Learn2Hop: Learned Optimization on Rough Landscapes		0		Amil Merchant, Ekin D. Cubuk, Luke Metz, Samuel S. Schoenholz
698		Counterfactual Credit Assignment in Model-Free Reinforcement Learning		0		Alaa Saade, Anna Harutyunyan, Arthur Guez, Eric Moulines, Fabio Viola, Lars Buesing, Marcus Hutter, Nicolas Heess, Rémi Munos, Shantanu Thakoor, Theophane Weber, Thomas Mesnard, Thomas S. Stepleton, Will Dabney
699		Provably Efficient Learning of Transferable Rewards		0		Alberto Maria Metelli, Alessandro Concetti, Giorgia Ramponi, Marcello Restelli
700		Mixed Nash Equilibria in the Adversarial Examples Game		0		Jamal Atif, Laurent Meunier, Meyer Scetbon, Rafael Pinot, Yann Chevaleyre
701		Learning in Nonzero-Sum Stochastic Games with Potentials		0		David Henry Mguni, Joel Jennings, Jun Wang, Minne Li, Yali Du, Yaodong Yang, Ying Wen, Yutong Wu, Ziyi Wang
702		EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture		0		Chenfeng Miao, Jing Xiao, Jun Ma, Minchuan Chen, Shaojun Wang, Shuang Liang, Zhengchen Liu
703		Outside the Echo Chamber: Optimizing the Performative Risk		0		John Miller, Juan C. Perdomo, Tijana Zrnic
704		Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization		0		Aditi Raghunathan, John Miller, Ludwig Schmidt, Pang Wei Koh, Percy Liang, Rohan Taori, Shiori Sagawa, Vaishaal Shankar, Yair Carmon
705		Signatured Deep Fictitious Play for Mean Field Games with Common Noise		0		Ming Min, Ruimeng Hu
706		Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation		0		Dong Bok Lee, Dongchan Min, Eunho Yang, Sung Ju Hwang
707		On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks		0		Enrique Mallada, Hancheng Min, René Vidal, Salma Tarmoun
708		An Identifiable Double VAE For Disentangled Representations		0		Graziano Mita, Maurizio Filippone, Pietro Michiardi
709		Offline Meta-Reinforcement Learning with Advantage Weighting		0		Chelsea Finn, Eric Mitchell, Rafael Rafailov, Sergey Levine, Xue Bin Peng
710		The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization		0		Akinori F. Ebihara, Taiki Miyagawa
711		PODS: Policy Optimization via Differentiable Simulation		0		Martin T. Vechev, Miguel Zamora, Momchil Peychev, Sehoon Ha, Stelian Coros
712		Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games		0		Amy R. Greenwald, Dustin Morrill, James R. Wright, Marc Lanctot, Michael Bowling, Ryan D'Orazio
713		Neural Rough Differential Equations for Long Time Series		0		Cristopher Salvi, James Foster, James Morrill, Patrick Kidger
714		Connecting Interpretability and Robustness in Decision Trees through Separation		0		Kamalika Chaudhuri, Michal Moshkovitz, YaoYuan Yang
715		Outlier-Robust Optimal Transport		0		Aritra Guha, Debarghya Mukherjee, Justin M. Solomon, Mikhail Yurochkin, Yuekai Sun
716		Oblivious Sketching for Logistic Regression		0		Alexander Munteanu, David P. Woodruff, Simon Omlor
717		Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning		0		Taiji Suzuki, Tomoya Murata
718		Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold		0		Ameesh Makadia, Carlos Esteves, Kieran A. Murphy, Srikumar Ramalingam, Varun Jampani
719		No-regret Algorithms for Capturing Events in Poisson Point Processes		0		Andreas Krause, Mojmir Mutny
720		Online Limited Memory Neural-Linear Bandits with Likelihood Matching		0		Ofir Nabati, Shie Mannor, Tom Zahavy
721		Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding		0		Akira Nakagawa, Keizo Kato, Taiji Suzuki
722		GMAC: A Distributional Perspective on Actor-Critic Framework		0		Chan Y. Park, Daniel Wontae Nam, Younghoon Kim
723		Memory-Efficient Pipeline-Parallel DNN Training		0		Amar Phanishayee, Deepak Narayanan, Kaiyu Shi, Matei Zaharia, Xie Chen
724		Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering		0		Or Zamir, Piotr Indyk, Sandeep Silwal, Shyam Narayanan
725		Generating images with sparse representations		0		Charlie Nash, Jacob Menick, Peter W. Battaglia, Sander Dieleman
726		Geometric convergence of elliptical slice sampling		0		Björn Sprungk, Daniel Rudolf, Viacheslav Natarovskii
727		HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search		0		Asaf Noy, Lihi Zelnik, Niv Nayman, Yonathan Aflalo
728		Emergent Social Learning via Multi-agent Reinforcement Learning		0		Douglas Eck, Kamal Ndousse, Natasha Jaques, Sergey Levine
729		Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information		0		Ke Alexander Wang, Stefano Ermon, Willie Neiswanger
730		Continuous Coordination As a Realistic Scenario for Lifelong Learning		0		Aaron C. Courville, Akilesh Badrinaaraayanan, Hadi Nekoei, Sarath Chandar
731		Policy Caches with Successor Features		0		Mark W. Nemecek, Ron Parr
732		Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners		0		Elias Chaibub Neto
733		Incentivizing Compliance with Algorithmic Instruments		0		Dung Daniel T. Ngo, Logan Stapleton, Steven Wu, Vasilis Syrgkanis
734		On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths		0		Quynh Nguyen
735		Value-at-Risk Optimization with Gaussian Processes		0		Bryan Kian Hsiang Low, Patrick Jaillet, Quoc Phong Nguyen, Zhongxiang Dai
736		Cross-model Back-translated Distillation for Unsupervised Machine Translation		0		Ai Ti Aw, Kui Wu, Shafiq R. Joty, ThanhTung Nguyen, XuanPhi Nguyen
737		Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search		0		Makoto Yamada, Michael A. Osborne, Tam Le, Vu Nguyen
738		Interactive Learning from Activity Description		0		Dipendra Misra, Khanh Nguyen, Miroslav Dudík, Patrick Shafto, Robert E. Schapire
739		Nonmyopic Multifidelity Acitve Search		0		Arghavan Modiri, Quan Nguyen, Roman Garnett
740		Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks		0		Guido F. Montúfar, Marco Mondelli, Quynh Nguyen
741		Temporal Predictive Coding For Model-Based Planning In Latent Space		0		Hung Bui, Rui Shu, Stefano Ermon, Tuan Pham, Tung D. Nguyen
742		Differentially Private Densest Subgraph Detection		0		Anil Vullikanti, Dung Nguyen
743		Data Augmentation for Meta-Learning		0		Amr Sharaf, Kezhi Kong, Micah Goldblum, Renkun Ni, Tom Goldstein
744		Improved Denoising Diffusion Probabilistic Models		0		Alexander Quinn Nichol, Prafulla Dhariwal
745		Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications		0		Kengo Kato, Sloan Nietert, Ziv Goldfeld
746		AdaXpert: Adapting Neural Architecture for Growing Data		0		Guanghui Xu, Jiaxiang Wu, Mingkui Tan, Peilin Zhao, Peng Wang, Shuaicheng Niu, Yifan Zhang, Yong Guo
747		Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction		0		Akinori Fujino, Guoqiang Zhang, Hiroshi Sawada, Kenta Niwa, Noboru Harada, W. Bastiaan Kleijn
748		WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points		0		Albert No, Ernest K. Ryu, Sehyun Kwon, Taeho Yoon
749		The Impact of Record Linkage on Learning from Feature Partitioned Data		0		Brian Thorne, Giorgio Patrini, Guillaume Smith, Hamish IveyLaw, Jakub Nabaglo, Richard Nock, Stephen Hardy, Wilko Henecka
750		Accuracy, Interpretability, and Differential Privacy via Explainable Boosting		0		Harsha Nori, Janardhan Kulkarni, Judy Hanwen Shen, Rich Caruana, Zhiqi Bu
751		Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods		0		Bruno C. da Silva, Chris Nota, Philip S. Thomas
752		Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes		0		Laurence Aitchison, Sebastian W. Ober
753		Regularizing towards Causal Invariance: Linear Models with Proxies		0		David A. Sontag, Jonas Peters, Michael Oberst, Nikolaj Thams
754		Sparsity-Agnostic Lasso Bandit		0		Assaf Zeevi, Garud Iyengar, Minhwan Oh
755		Autoencoder Image Interpolation by Shaping the Latent Space		0		Alon Oring, Yacov HelOr, Zohar Yakhini
756		Generalization Guarantees for Neural Architecture Search with Train-Validation Split		0		Mahdi Soltanolkotabi, Mingchen Li, Samet Oymak
757		Vector Quantized Models for Planning		0		Ali Razavi, Aäron van den Oord, Ioannis Antonoglou, Oriol Vinyals, Sherjil Ozair, Yazhe Li
758		Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling		0		Ozan Özdenizci, Robert Legenstein
759		Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics		0		Avik Pal, Christopher Vincent Rackauckas, Viral B. Shah, Yingbo Ma
760		RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting		0		Liheng Ma, Mark Coates, Soumyasundar Pal, Yingxue Zhang
761		Inference for Network Regression Models with Community Structure		0		Bailey K. Fosdick, Mengjie Pan, Tyler H. McCormick
762		Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification		0		Bo Pang, Ying Nian Wu
763		Leveraging Good Representations in Linear Contextual Bandits		0		Alessandro Lazaric, Andrea Tirinzoni, Marcello Restelli, Matteo Papini, Matteo Pirotta
764		Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data		0		Junseok Kwon, Sung Woo Park
765		Unsupervised Representation Learning via Neural Activation Coding		0		David M. Blei, Gunhee Kim, Sangho Lee, Yookoon Park
766		Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression		0		Bernhard Schölkopf, Junhyung Park, Krikamol Muandet, Uri Shalit
767		Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation		0		Dong Wook Shu, Junseok Kwon, Sung Woo Park
768		Optimal Counterfactual Explanations in Tree Ensembles		0		Axel Parmentier, Thibaut Vidal
769		PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data		0		Constantine Dovrolis, Shreyas Malakarjun Patil
770		CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints		0		Anselm Paulus, Brandon Amos, Georg Martius, Michal Rolínek, Vít Musil
771		Ensemble Bootstrapping for Q-Learning		0		Chen Tessler, Nadav Merlis, Oren Peer, Ron Meir
772		Homomorphic Sensing: Sparsity and Noise		0		Boshi Wang, Liangzu Peng, Manolis C. Tsakiris
773		How could Neural Networks understand Programs?		0		Di He, Dinglan Peng, Guolin Ke, Shuxin Zheng, TieYan Liu, Yatao Li
774		Privacy-Preserving Video Classification with Convolutional Neural Networks		0		Martine De Cock, Rafael Dowsley, Sikha Pentyala
775		Rissanen Data Analysis: Examining Dataset Characteristics via Description Length		0		Douwe Kiela, Ethan Perez, Kyunghyun Cho
776		Modelling Behavioural Diversity for Learning in Open-Ended Games		0		David Henry Mguni, Jun Wang, Nicolas Perez Nieves, Oliver Slumbers, Yaodong Yang, Ying Wen
777		From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization		0		Bart De Vylder, David Balduzzi, Georgios Piliouras, JeanBaptiste Lespiau, Julien Pérolat, Karl Tuyls, Marc Lanctot, Mark Rowland, Neil Burch, Pedro A. Ortega, Rémi Munos, Shayegan Omidshafiei, Thomas W. Anthony
778		Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders		0		Adeel Pervez, Efstratios Gavves
779		Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision		0		Christian Borgelt, Felix Petersen, Hilde Kuehne, Oliver Deussen
780		Megaverse: Simulating Embodied Agents at One Million Experiences per Second		0		Aleksei Petrenko, Brennan Shacklett, Erik Wijmans, Vladlen Koltun
781		Towards Practical Mean Bounds for Small Samples		0		Erik G. LearnedMiller, My Phan, Philip S. Thomas
782		DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs		0		Alain Durmus, Eric Moulines, Maxime Vono, Vincent Plassier
783		GeomCA: Geometric Evaluation of Data Representations		0		Anastasiia Varava, Danica Kragic, Petra Poklukar
784		Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech		0		Ivan Vovk, Mikhail A. Kudinov, Tasnima Sadekova, Vadim Popov, Vladimir Gogoryan
785		Bias-Free Scalable Gaussian Processes via Randomized Truncations		0		Andres Potapczynski, Dan Biderman, Geoff Pleiss, John P. Cunningham, Luhuan Wu
786		Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset		0		Ilan Price, Jared Tanner
787		BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining		0		Dayiheng Liu, Houqiang Li, Jian Jiao, Jiusheng Chen, Kewen Tang, Ming Zhou, Nan Duan, Ruofei Zhang, Weizhen Qi, Weizhu Chen, Yeyun Gong, Yu Yan
788		A Probabilistic Approach to Neural Network Pruning		0		Diego Klabjan, Xin Qian
789		Global Prosody Style Transfer Without Text Transcriptions		0		Chuang Gan, David D. Cox, Jinjun Xiong, Kaizhi Qian, Mark HasegawaJohnson, Shiyu Chang, Yang Zhang
790		Efficient Differentiable Simulation of Articulated Bodies		0		Junbang Liang, Ming C. Lin, Vladlen Koltun, YiLing Qiao
791		Oneshot Differentially Private Top-k Selection		0		Gang Qiao, Li Zhang, Weijie J. Su
792		Density Constrained Reinforcement Learning		0		Chuchu Fan, Yuxiao Chen, Zengyi Qin
793		Budgeted Heterogeneous Treatment Effect Estimation		0		Tian Qin, TianZuo Wang, ZhiHua Zhou
794		Neural Transformation Learning for Deep Anomaly Detection Beyond Images		0		Chen Qiu, Maja Rudolph, Marius Kloft, Stephan Mandt, Timo Pfrommer
795		Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions		0		Jieping Ye, Shuang Qiu, Xiaohan Wei, Zhaoran Wang, Zhuoran Yang
796		Optimization Planning for 3D ConvNets		0		ChongWah Ngo, Tao Mei, Ting Yao, Zhaofan Qiu
797		On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game		0		Jieping Ye, Shuang Qiu, Zhaoran Wang, Zhuoran Yang
798		Learning Transferable Visual Models From Natural Language Supervision		0		Aditya Ramesh, Alec Radford, Amanda Askell, Chris Hallacy, Gabriel Goh, Girish Sastry, Gretchen Krueger, Ilya Sutskever, Jack Clark, Jong Wook Kim, Pamela Mishkin, Sandhini Agarwal
799		A General Framework For Detecting Anomalous Inputs to DNN Classifiers		0		Jayaram Raghuram, Somesh Jha, Suman Banerjee, Varun Chandrasekaran
800		Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning		0		Arrasy Rahman, Filippos Christianos, Niklas Höpner, Stefano V. Albrecht
801		Decoupling Value and Policy for Generalization in Reinforcement Learning		0		Rob Fergus, Roberta Raileanu
802		Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees		0		Anand Rajagopalan, Cecilia M. Procopiuc, Claudio Gentile, Danny Vainstein, Fabio Vitale, Gui Citovsky
803		Differentially Private Sliced Wasserstein Distance		0		Alain Rakotomamonjy, Liva Ralaivola
804		Zero-Shot Text-to-Image Generation		0		Aditya Ramesh, Alec Radford, Chelsea Voss, Gabriel Goh, Ilya Sutskever, Mark Chen, Mikhail Pavlov, Scott Gray
805		End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series		0		Jan Gasthaus, Konstantinos Benidis, Lucien D. Werner, Pedro Mercado, Syama Sundar Rangapuram, Tim Januschowski
806		MSA Transformer		0		Alexander Rives, Jason Liu, John F. Canny, Joshua Meier, Pieter Abbeel, Robert Verkuil, Roshan Rao, Tom Sercu
807		Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting		0		Calvin Seward, Ingmar Schuster, Kashif Rasul, Roland Vollgraf
808		Generative Particle Variational Inference via Estimation of Functional Gradients		0		Fuxin Li, Neale Ratzlaff, Qinxun Bai, Wei Xu
809		Enhancing Robustness of Neural Networks through Fourier Stabilization		0		Aidan Kelley, Minzhe Guo, Netanel Raviv, Yevgeniy Vorobeychik
810		Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces		0		Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Sadeep Jayasumana, Sanjiv Kumar, Sashank J. Reddi, Wittawat Jitkrittum
811		Cross-domain Imitation from Observations		0		Amit K. RoyChowdhury, Dripta S. Raychaudhuri, Jeroen van Baar, Sujoy Paul
812		Implicit Regularization in Tensor Factorization		0		Asaf Maman, Nadav Cohen, Noam Razin
813		Align, then memorise: the dynamics of learning with feedback alignment		0		Maria Refinetti, Ruben Ohana, Sebastian Goldt, Stéphane d'Ascoli
814		Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed		0		Florent Krzakala, Lenka Zdeborová, Maria Refinetti, Sebastian Goldt
815		Sharf: Shape-conditioned Radiance Fields from a Single View		0		Konstantinos Rematas, Ricardo MartinBrualla, Vittorio Ferrari
816		LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs		0		Bo Dai, Dale Schuurmans, Denny Zhou, Haitian Sun, Hanjun Dai, Hongyu Ren, Jure Leskovec, Michihiro Yasunaga, Xinyun Chen
817		Interpreting and Disentangling Feature Components of Various Complexity from DNNs		0		Jie Ren, Mingjie Li, Quanshi Zhang, Zexu Liu
818		Integrated Defense for Resilient Graph Matching		0		Dejing Dou, Jiaxiang Ren, Jiayin Jin, Ruoming Jin, Sixing Wu, Tianshi Che, Xin Zhao, Yang Zhou, Yelong Shen, Zijie Zhang
819		Solving high-dimensional parabolic PDEs using the tensor train format		0		Leon Sallandt, Lorenz Richter, Nikolas Nüsken
820		Best Arm Identification in Graphical Bilinear Bandits		0		Albert Thomas, Geovani Rizk, Igor Colin, Rida Laraki, Yann Chevaleyre
821		Principled Simplicial Neural Networks for Trajectory Prediction		0		Nicholas Glaze, Santiago Segarra, T. Mitchell Roddenberry
822		On Linear Identifiability of Learned Representations		0		Durk Kingma, Geoffrey Roeder, Luke Metz
823		Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data		0		Benjamin Recht, Esther Rolf, Michael I. Jordan, Theodora T. Worledge
824		TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL		0		Clément Romac, Katja Hofmann, PierreYves Oudeyer, Rémy Portelas
825		Discretization Drift in Two-Player Games		0		Benoit Dherin, David Barrett, Mihaela Rosca, Yan Wu
826		On the Predictability of Pruning Across Scales		0		Jonathan Frankle, Jonathan S. Rosenfeld, Michael Carbin, Nir Shavit
827		Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement		0		Andrew Slavin Ross, Finale DoshiVelez
828		Simultaneous Similarity-based Self-Distillation for Deep Metric Learning		0		Björn Ommer, Joseph Paul Cohen, Karsten Roth, Marzyeh Ghassemi, Timo Milbich
829		Multi-group Agnostic PAC Learnability		0		Gal Yona, Guy N. Rothblum
830		PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees		0		Andreas Krause, Jonas Rothfuss, Martin Josifoski, Vincent Fortuin
831		An Algorithm for Stochastic and Adversarial Bandits with Switching Costs		0		Chloé Rouyer, Nicolò CesaBianchi, Yevgeny Seldin
832		Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding		0		Alireza Makhzani, Arnaud Doucet, Ashish Khisti, Chris J. Maddison, Daniel Severo, James Townsend, Karen Ullrich, Yangjun Ruan
833		On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes		0		Oscar Key, Tim G. J. Rudner, Tom Rainforth, Yarin Gal
834		Tilting the playing field: Dynamical loss functions for machine learning		0		Andrea J. Liu, Ge Zhang, Miguel RuizGarcia, Samuel S. Schoenholz
835		UnICORNN: A recurrent model for learning very long time dependencies		0		Siddhartha Mishra, T. Konstantin Rusch
836		Simple and Effective VAE Training with Calibrated Decoders		0		Kostas Daniilidis, Oleh Rybkin, Sergey Levine
837		Model-Based Reinforcement Learning via Latent-Space Collocation		0		Anusha Nagabandi, Chuning Zhu, Igor Mordatch, Kostas Daniilidis, Oleh Rybkin, Sergey Levine
838		Training Data Subset Selection for Regression with Controlled Generalization Error		0		Abir De, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer
839		Unsupervised Part Representation by Flow Capsules		0		Andrea Tagliasacchi, David J. Fleet, Geoffrey E. Hinton, Sara Sabour, Soroosh Yazdani
840		Stochastic Sign Descent Methods: New Algorithms and Better Theory		0		Mher Safaryan, Peter Richtárik
841		Adversarial Dueling Bandits		0		Aadirupa Saha, Tomer Koren, Yishay Mansour
842		Dueling Convex Optimization		0		Aadirupa Saha, Tomer Koren, Yishay Mansour
843		Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization		0		Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
844		Asymptotics of Ridge Regression in Convolutional Models		0		Alyson K. Fletcher, Anup B. Rao, Mojtaba SahraeeArdakan, Ryan A. Rossi, Sundeep Rangan, Tung Mai
845		Momentum Residual Neural Networks		0		Gabriel Peyré, Mathieu Blondel, Michael E. Sander, Pierre Ablin
846		Meta-Learning Bidirectional Update Rules		0		Andrew Jackson, Andrey Zhmoginov, Blaise Agüera y Arcas, Mark Sandler, Max Vladymyrov, Nolan Miller, Tom Madams
847		Recomposing the Reinforcement Learning Building Blocks with Hypernetworks		0		Elad Sarafian, Sarit Kraus, Shai Keynan
848		Towards Understanding Learning in Neural Networks with Linear Teachers		0		Alon Brutzkus, Amir Globerson, Roei Sarussi
849		E(n) Equivariant Graph Neural Networks		0		Emiel Hoogeboom, Max Welling, Victor Garcia Satorras
850		A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning		0		Arushi Gupta, Nikunj Saunshi, Wei Hu
851		Low-Rank Sinkhorn Factorization		0		Gabriel Peyré, Marco Cuturi, Meyer Scetbon
852		Linear Transformers Are Secretly Fast Weight Programmers		0		Imanol Schlag, Jürgen Schmidhuber, Kazuki Irie
853		Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers		0		Frank Schneider, Philipp Hennig, Robin M. Schmidt
854		Equivariant message passing for the prediction of tensorial properties and molecular spectra		0		Kristof Schütt, Michael Gastegger, Oliver T. Unke
855		Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks		0		Arjun Gupta, Avi Schwarzschild, John P. Dickerson, Micah Goldblum, Tom Goldstein
856		Connecting Sphere Manifolds Hierarchically for Regularization		0		Damien Scieur, Youngsung Kim
857		Learning Intra-Batch Connections for Deep Metric Learning		0		Ismail Elezi, Jenny Denise Seidenschwarz, Laura LealTaixé
858		Top-k eXtreme Contextual Bandits with Arm Hierarchy		0		Alexander Rakhlin, Daniel N. Hill, Dean P. Foster, Inderjit S. Dhillon, Lexing Ying, Rahul Kidambi, Rajat Sen
859		Pure Exploration and Regret Minimization in Matching Bandits		0		Clément Calauzènes, Flore Sentenac, Jialin Yi, Milan Vojnovic, Vianney Perchet
860		State Entropy Maximization with Random Encoders for Efficient Exploration		0		Honglak Lee, Jinwoo Shin, Kimin Lee, Lili Chen, Pieter Abbeel, Younggyo Seo
861		Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems		0		Andreas Krause, Ilija Bogunovic, Maryam Kamgarpour, Pier Giuseppe Sessa
862		RRL: Resnet as representation for Reinforcement Learning		0		Rutav M. Shah, Vikash Kumar
863		Equivariant Networks for Pixelized Spheres		0		Mehran Shakerinava, Siamak Ravanbakhsh
864		Personalized Federated Learning using Hypernetworks		0		Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik
865		On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise		0		Jie Shen
866		Sample-Optimal PAC Learning of Halfspaces with Malicious Noise		0		Jie Shen
867		Backdoor Scanning for Deep Neural Networks through K-Arm Optimization		0		Guangyu Shen, Guanhong Tao, Qiuling Xu, Shengwei An, Shiqing Ma, Siyuan Cheng, Xiangyu Zhang, Yingqi Liu
868		State Relevance for Off-Policy Evaluation		0		Finale DoshiVelez, Omer Gottesman, Simon P. Shen, Yecheng Jason Ma
869		SparseBERT: Rethinking the Importance Analysis in Self-attention		0		Han Shi, Hang Xu, James TinYau Kwok, Jiahui Gao, Xiaodan Liang, Xiaozhe Ren, Zhenguo Li
870		Learning Gradient Fields for Molecular Conformation Generation		0		Chence Shi, Jian Tang, Minkai Xu, Shitong Luo
871		Segmenting Hybrid Trajectories using Latent ODEs		0		Quaid Morris, Ruian Shi
872		Deeply-Debiased Off-Policy Interval Estimation		0		Chengchun Shi, Rui Song, Runzhe Wan, Victor Chernozhukov
873		GANMEX: One-vs-One Attributions using GAN-based Model Explainability		0		PinJu Tien, ShengMin Shih, Zohar Karnin
874		Large-Scale Meta-Learning with Continual Trajectory Shifting		0		Boqing Gong, Haebeom Lee, Jaewoong Shin, Sung Ju Hwang
875		AGENT: A Benchmark for Core Psychological Reasoning		0		Abhishek Bhandwaldar, Chuang Gan, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Kevin A. Smith, Shari Liu, Tianmin Shu, Tomer D. Ullman
876		Zoo-Tuning: Adaptive Transfer from A Zoo of Models		0		Jianmin Wang, Mingsheng Long, Yang Shu, Zhangjie Cao, Zhi Kou
877		Aggregating From Multiple Target-Shifted Sources		0		Boyu Wang, Changjian Shui, Charles X. Ling, Christian Gagné, Jiaqi Li, Zijian Li
878		Testing Group Fairness via Optimal Transport Projections		0		Jose H. Blanchet, Karthyek Murthy, Nian Si, Viet Anh Nguyen
879		On Characterizing GAN Convergence Through Proximal Duality Gap		0		Aroof Aimen, Narayanan C. Krishnan, Sahil Sidheekh
880		A Precise Performance Analysis of Support Vector Regression		0		Abla Kammoun, Houssem Sifaou, MohamedSlim Alouini
881		Directed Graph Embeddings in Pseudo-Riemannian Manifolds		0		Aaron Sim, Angus Brayne, Maciej Wiatrak, Páidí Creed, Saee Paliwal
882		Collaborative Bayesian Optimization with Fair Regret		0		Bryan Kian Hsiang Low, Patrick Jaillet, Rachael Hwee Ling Sim, Yehong Zhang
883		Dynamic Planning and Learning under Recovering Rewards		0		David SimchiLevi, Feng Zhu, Zeyu Zheng
884		PopSkipJump: Decision-Based Attack for Probabilistic Classifiers		0		Andreas Krause, CarlJohann SimonGabriel, Noman Ahmed Sheikh
885		Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances		0		Arthur Jacot, Berfin Simsek, Clément Hongler, Francesco Spadaro, François Ged, Johanni Brea, Wulfram Gerstner
886		Flow-based Attribution in Graphical Models: A Recursive Shapley Approach		0		George Michailidis, Hoiyi Ng, Raghav Singal
887		Structured World Belief for Reinforcement Learning in POMDP		0		Gautam Singh, Hyunseok Kim, Junghyun Kim, Skand Vishwanath Peri, Sungjin Ahn
888		Skew Orthogonal Convolutions		0		Sahil Singla, Soheil Feizi
889		Multi-Task Reinforcement Learning with Context-based Representations		0		Amy Zhang, Joelle Pineau, Shagun Sodhani
890		Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks		0		Harm van Seijen, Honglak Lee, Jongwook Choi, Mehdi Fatemi, Sungryull Sohn, Sungtae Lee
891		Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving		0		Chenlin Meng, Renjie Liao, Stefano Ermon, Yang Song
892		PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration		0		Wen Sun, Yuda Song
893		Fast Sketching of Polynomial Kernels of Polynomial Degree		0		David P. Woodruff, Lichen Zhang, Zhao Song, Zheng Yu
894		Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums		0		Chaobing Song, Jelena Diakonikolas, Stephen J. Wright
895		Oblivious Sketching-based Central Path Method for Linear Programming		0		Zhao Song, Zheng Yu
896		Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning		0		Arash Mehrjou, Bernhard Schölkopf, Laurent Itti, Sumedh A. Sontakke
897		Decomposed Mutual Information Estimation for Contrastive Representation Learning		0		Alessandro Sordoni, Geoffrey J. Gordon, Hannes Schulz, Nouha Dziri, Philip Bachman, Remi Tachet des Combes
898		Decoupling Representation Learning from Reinforcement Learning		0		Adam Stooke, Kimin Lee, Michael Laskin, Pieter Abbeel
899		K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets		0		Chang Xu, Changshui Zhang, Chen Qian, Fei Wang, Mingkai Zheng, Shan You, Xiu Su
900		More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method		0		Ichiro Takeuchi, Kazuya Sugiyama, Vo Nguyen Le Duy
901		Not All Memories are Created Equal: Learning to Forget by Expiring		0		Angela Fan, Arthur Szlam, Da Ju, Jason Weston, Sainbayar Sukhbaatar, Spencer Poff, Stephen Roller
902		Nondeterminism and Instability in Neural Network Optimization		0		Cecilia Summers, Michael J. Dinneen
903		AutoSampling: Search for Effective Data Sampling Schedules		0		Baopu Li, Haoxuan Dou, Junjie Yan, Lei Cui, Ming Sun, Wanli Ouyang
904		What Makes for End-to-End Object Detection?		0		Changhu Wang, Enze Xie, Peize Sun, Ping Luo, Wenqi Shao, Yi Jiang, Zehuan Yuan
905		DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning		0		ChengKuang Lee, ChunYi Lee, WeiFang Sun
906		Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition		0		Andrew Gordon Wilson, Jiaxin Shi, Roger B. Grosse, Shengyang Sun
907		Reasoning Over Virtual Knowledge Bases With Open Predicate Relations		0		Bhuwan Dhingra, Haitian Sun, Patrick Verga, Ruslan Salakhutdinov, William W. Cohen
908		PAC-Learning for Strategic Classification		0		Anil Vullikanti, Fan Yao, Haifeng Xu, Ravi Sundaram
909		Reinforcement Learning for Cost-Aware Markov Decision Processes		0		David N. Kraemer, Ji Liu, Kaiqing Zhang, Wesley Suttle, Zhuoran Yang
910		Model-Targeted Poisoning Attacks with Provable Convergence		0		Anshuman Suri, David Evans, Fnu Suya, Saeed Mahloujifar, Yuan Tian
911		Generalization Error Bound for Hyperbolic Ordinal Embedding		0		Atsushi Nitanda, Atsushi Suzuki, Jing Wang, Kenji Yamanishi, Linchuan Xu, Marc Cavazza
912		Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap		0		Gokul Swamy, J. Andrew Bagnell, Sanjiban Choudhury, Steven Wu
913		Parallel tempering on optimized paths		0		Alexandre BouchardCôté, Saifuddin Syed, Trevor Campbell, Vittorio Romaniello
914		Robust Representation Learning via Perceptual Similarity Metrics		0		Amir Hosein Khasahmadi, Anirudh Goyal, Kristy Choi, Saeid Asgari Taghanaki
915		DriftSurf: Stable-State / Reactive-State Learning under Concept Drift		0		Ashraf Tahmasbi, Ellango Jothimurugesan, Phillip B. Gibbons, Srikanta Tirthapura
916		Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training		0		Gregory Valiant, Kai Sheng Tai, Peter Bailis
917		Approximation Theory Based Methods for RKHS Bandits		0		Masahiro Sato, Sho Takemori
918		Supervised Tree-Wasserstein Distance		0		Makoto Yamada, Ryoma Sato, Yuki Takezawa
919		EfficientNetV2: Smaller Models and Faster Training		0		Mingxing Tan, Quoc V. Le
920		SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples		0		Aldric H. J. Han, Anshoo Tandon, Vincent Y. F. Tan
921		1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed		0		Ammar Ahmad Awan, Ce Zhang, Conglong Li, Hanlin Tang, Ji Liu, Samyam Rajbhandari, Shaoduo Gan, Xiangru Lian, Yuxiong He
922		Taylor Expansion of Discount Factors		0		Mark Rowland, Michal Valko, Rémi Munos, Yunhao Tang
923		REPAINT: Knowledge Transfer in Deep Reinforcement Learning		0		Jonathan Chung, Sahika Genc, Sunil Mallya, Tao Sun, Yunzhe Tao
924		Understanding the Dynamics of Gradient Flow in Overparameterized Linear models		0		Benjamin D. Haeffele, Guilherme França, René Vidal, Salma Tarmoun
925		Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts		0		Bahar Taskesen, Daniel Kuhn, Jose H. Blanchet, ManChung Yue, Viet Anh Nguyen
926		A Language for Counterfactual Generative Models		0		Armando SolarLezama, James Koppel, Ria Das, Xin Zhang, Zenna Tavares
927		Synthesizer: Rethinking Self-Attention for Transformer Models		0		Che Zheng, DaCheng Juan, Dara Bahri, Donald Metzler, Yi Tay, Zhe Zhao
928		OmniNet: Omnidirectional Representations from Transformers		0		DaCheng Juan, Dara Bahri, Donald Metzler, Jai Prakash Gupta, Mostafa Dehghani, Philip Pham, Vamsi Aribandi, Yi Tay, Zhen Qin
929		T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP		0		Jiaye Teng, Yang Yuan, Zeren Tan
930		Moreau-Yosida f-divergences		0		Dávid Terjék
931		Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers		0		Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer, Piotr Teterwak
932		Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism		0		Brijen Thananjeyan, Ion Stoica, Joseph Gonzalez, Ken Goldberg, Kirthevasan Kandasamy, Michael I. Jordan
933		Monte Carlo Variational Auto-Encoders		0		Achille Thin, Alain Durmus, Arnaud Doucet, Eric Moulines, Maxim Panov, Nikita Kotelevskii
934		Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model		0		Ahmad Salim AlSibahi, Anders Bundgård Sørensen, Christian B. Thygesen, Christian Skjødt Steenmans, Lys Sanz Moreta, Thomas Hamelryck
935		Understanding self-supervised learning dynamics without contrastive pairs		0		Surya Ganguli, Xinlei Chen, Yuandong Tian
936		Online Learning in Unknown Markov Games		0		Suvrit Sra, Tiancheng Yu, Yi Tian, Yuanhao Wang
937		BORE: Bayesian Optimization by Density-Ratio Estimation		0		Aaron Klein, Cédric Archambeau, Edwin V. Bonilla, Fabio Ramos, Louis C. Tiao, Matthias W. Seeger
938		Nonparametric Decomposition of Sparse Tensors		0		Conor Tillinghast, Shandian Zhe
939		Probabilistic Programs with Stochastic Conditioning		0		David Tolpin, Hongseok Yang, Tom Rainforth, Yuan Zhou
940		Deep Continuous Networks		0		Jan van Gemert, Nergis Tomen, SilviaLaura Pintea
941		Diffusion Earth Mover's Distance and Distribution Embeddings		0		Alexander Tong, Amine Natik, Guillaume Huguet, Guy Wolf, Kincaid MacDonald, Manik Kuchroo, Ronald R. Coifman, Smita Krishnaswamy
942		Training data-efficient image transformers & distillation through attention		0		Alexandre Sablayrolles, Francisco Massa, Hervé Jégou, Hugo Touvron, Matthieu Cord, Matthijs Douze
943		Conservative Objective Models for Effective Offline Model-Based Optimization		0		Aviral Kumar, Brandon Trabucco, Sergey Levine, Xinyang Geng
944		Sparse within Sparse Gaussian Processes using Neighbor Information		0		Dimitrios Milios, GiaLac Tran, Maurizio Filippone, Pietro Michiardi
945		SMG: A Shuffling Gradient-Based Method with Momentum		0		Lam M. Nguyen, Quoc TranDinh, Trang H. Tran
946		Bayesian Optimistic Optimisation with Exponentially Decaying Regret		0		Hung TranThe, Santu Rana, Sunil Gupta, Svetha Venkatesh
947		On Disentangled Representations Learned from Correlated Data		0		Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, Elliot Creager, Francesco Locatello, Frederik Träuble, Niki Kilbertus, Stefan Bauer
948		A New Formalism, Method and Open Issues for Zero-Shot Coordination		0		Caspar Oesterheld, Jakob N. Foerster, Johannes Treutlein, Michael Dennis
949		Learning a Universal Template for Few-shot Dataset Generalization		0		Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
950		Provable Meta-Learning of Linear Representations		0		Chi Jin, Michael I. Jordan, Nilesh Tripuraneni
951		Cumulants of Hawkes Processes are Robust to Observation Noise		0		Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran, William Trouleau
952		PixelTransformer: Sample Conditioned Signal Generation		0		Abhinav Gupta, Shubham Tulsiani
953		A Framework for Private Matrix Analysis in Sliding Window Model		0		Jalaj Upadhyay, Sarvagya Upadhyay
954		Fast Projection Onto Convex Smooth Constraints		0		Andreas Krause, Ilnura Usmanova, Kfir Y. Levy, Maryam Kamgarpour
955		SGLB: Stochastic Gradient Langevin Boosting		0		Aleksei Ustimenko, Liudmila Prokhorenkova
956		LTL2Action: Generalizing LTL Instructions for Multi-Task RL		0		Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
957		Active Deep Probabilistic Subsampling		0		Bastiaan S. Veeling, Hans Van Gorp, Iris A. M. Huijben, Nicola Pezzotti, Ruud J. G. van Sloun
958		CURI: A Benchmark for Productive Concept Learning Under Uncertainty		0		Ari Morcos, Arthur Szlam, Brenden M. Lake, Maximilian Nickel, Ramakrishna Vedantam
959		Towards Domain-Agnostic Contrastive Learning		0		Hieu Pham, Kenji Kawaguchi, Quoc V. Le, Thang Luong, Vikas Verma
960		Sparsifying Networks via Subdifferential Inclusion		0		JeanChristophe Pesquet, Sagar Verma
961		Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies		0		Jascha SohlDickstein, Luke Metz, Paul Vicol
962		Online Graph Dictionary Learning		0		Cédric VincentCuaz, Marco Corneli, Nicolas Courty, Rémi Flamary, Titouan Vayer
963		Neuro-algorithmic Policies Enable Fast Combinatorial Generalization		0		Georg Martius, Marin Vlastelica P., Michal Rolínek
964		Efficient Training of Robust Decision Trees Against Adversarial Examples		0		Daniël Vos, Sicco Verwer
965		Object Segmentation Without Labels with Large-Scale Generative Models		0		Andrey Voynov, Artem Babenko, Stanislav Morozov
966		Principal Component Hierarchy for Sparse Quadratic Programs		0		Armin Eftekhari, Peyman Mohajerin Esfahani, Robbie Vreugdenhil, Viet Anh Nguyen
967		Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization		0		Daniel Duckworth, Ethan Dyer, Jascha SohlDickstein, Neha S. Wadia, Samuel S. Schoenholz
968		Safe Reinforcement Learning Using Advantage-Based Intervention		0		Byron Boots, ChingAn Cheng, Nolan Wagener
969		Task-Optimal Exploration in Linear Dynamical Systems		0		Andrew J. Wagenmaker, Kevin G. Jamieson, Max Simchowitz
970		Learning and Planning in Average-Reward Markov Decision Processes		0		Abhishek Naik, Richard S. Sutton, Yi Wan
971		Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces		0		Bin Xin Ru, Cong Lu, Huong Ha, Michael A. Osborne, Vu Nguyen, Xingchen Wan
972		Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model		0		Zi Wang
973		Fairness of Exposure in Stochastic Bandits		0		Lequn Wang, Thorsten Joachims, Wen Sun, Yiwei Bai
974		A Proxy Variable View of Shared Confounding		0		David M. Blei, Yixin Wang
975		Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss		0		He Chen, Jiali Wang, Rujun Jiang, Xudong Li, Zihao Li
976		Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework		0		Deng Cai, Haifeng Liu, Jinming Hu, Long Chen, Minghao Chen, Shuai Zhao, Wei Liu, Wenxiao Wang, Xiaofei He
977		Explainable Automated Graph Representation Learning with Hyperparameter Importance		0		Kun Kuang, Shuyi Fan, Wenwu Zhu, Xin Wang
978		Self-Tuning for Data-Efficient Deep Learning		0		Jianmin Wang, Jinghan Gao, Mingsheng Long, Ximei Wang
979		Label Distribution Learning Machine		0		Jing Wang, Xin Geng
980		AlphaNet: Improved Training of Supernets with Alpha-Divergence		0		Chengyue Gong, Dilin Wang, Meng Li, Qiang Liu, Vikas Chandra
981		Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time		0		Jiequn Han, Weichen Wang, Zhaoran Wang, Zhuoran Yang
982		SG-PALM: a Fast Physically Interpretable Tensor Graphical Model		0		Alfred Olivier Hero, Yu Wang
983		Deep Generative Learning via Schrödinger Bridge		0		Can Yang, Gefei Wang, Qian Xu, Yang Wang, Yuling Jiao
984		Robust Inference for High-Dimensional Linear Models via Residual Randomization		0		Mladen Kolar, Panos Toulis, Si Kai Lee, Y. Samuel Wang
985		A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network		0		ChiHeng Lin, Jacob D. Abernethy, JunKun Wang
986		Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method		0		Anthony ManCho So, Huikang Liu, Peng Wang, Zirui Zhou
987		ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation		0		Boyu Lyu, Guoqiang Yu, Mengfan Wang
988		The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks		0		Bohan Wang, Qi Meng, TieYan Liu, Wei Chen
989		Robust Learning for Data Poisoning Attacks		0		Poorya Mianjy, Raman Arora, Yunjuan Wang
990		SketchEmbedNet: Learning Novel Concepts by Imitating Drawings		0		Alexander Wang, Mengye Ren, Richard S. Zemel
991		Directional Bias Amplification		0		Angelina Wang, Olga Russakovsky
992		An exact solver for the Weston-Watkins SVM subproblem		0		Clayton Scott, Yutong Wang
993		SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II		0		Chao Gao, Haitao Long, Jujie He, Junxiao Song, Peng Peng, Penghui Qi, Quan Yuan, Wei Zhang, Weimin Li, Xiangjun Wang, Xiongjun Pi, Zhenkun Tang
994		Quantum algorithms for reinforcement learning with a generative model		0		Aarthi Sundaram, Ashish Kapoor, Daochen Wang, Martin Roetteler, Robin Kothari
995		Matrix Completion with Model-free Weighting		0		Jiayi Wang, Kwun Chuen Gary Chan, Raymond K. W. Wong, Xiaojun Mao
996		UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data		0		Chengyi Wang, Furu Wei, Ken'ichi Kumatani, Michael Zeng, Shujie Liu, Xuedong Huang, Yao Qian, Yu Wu
997		Instabilities of Offline RL with Pre-Trained Neural Representation		0		Ruosong Wang, Ruslan Salakhutdinov, Sham M. Kakade, Yifan Wu
998		Learning to Weight Imperfect Demonstrations		0		Bo Du, Chang Xu, Honglak Lee, Yunke Wang
999		Evolving Attention with Residual Convolutions		0		Ce Zhang, Gao Huang, Jiangang Bai, Jing Bai, Jing Yu, Mingliang Zhang, Yaming Yang, Yujing Wang, Yunhai Tong
1000		Guarantees for Tuning the Step Size using a Learning-to-Learn Approach		0		Chenwei Wu, Rong Ge, Shuai Yuan, Xiang Wang
1001		Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation		0		Bo Li, Han Zhao, Haoxiang Wang
1002		Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing		0		Bryan Hooi, Jiashi Feng, Jie Shao, Kaixin Wang, Kuangqi Zhou, Qixin Zhang
1003		Robust Asymmetric Learning in POMDPs		0		Adam Scibior, Andrew Warrington, Frank Wood, Jonathan Wilder Lavington, Mark Schmidt
1004		A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention		0		Paolo Favaro, Tomoki Watanabe
1005		Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond		0		Dennis Wei
1006		Inferring serial correlation with dynamic backgrounds		0		Dobromir Rahnev, Song Wei, Yao Xie
1007		Meta-learning Hyperparameter Performance Prediction with Neural Processes		0		Junzhou Huang, Peilin Zhao, Ying Wei
1008		A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting		0		Debora S. Marks, Eli N. Weinstein
1009		Thinking Like Transformers		0		Eran Yahav, Gail Weiss, Yoav Goldberg
1010		Leveraged Weighted Loss for Partial Label Learning		0		Hanyuan Hang, Hongwei Wen, Jiabin Liu, Jingyi Cui, Yisen Wang, Zhouchen Lin
1011		Characterizing the Gap Between Actor-Critic and Policy Gradient		0		Dale Schuurmans, Junfeng Wen, Ramki Gummadi, Saurabh Kumar
1012		Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning		0		Yuanzhi Li, Zixin Wen
1013		Keyframe-Focused Visual Imitation Learning		0		Chuan Wen, Dinesh Jayaraman, Jianing Qian, Jierui Lin, Yang Gao
1014		Learning de-identified representations of prosody from raw audio		0		Emil Fristed, Jack Weston, Raphael Lenain, Udeepa Meepegama
1015		Solving Inverse Problems with a Flow-based Noise Model		0		Alex Dimakis, Jay Whang, Qi Lei
1016		Composing Normalizing Flows for Inverse Problems		0		Alex Dimakis, Erik M. Lindgren, Jay Whang
1017		Which transformer architecture fits my data? A vocabulary bottleneck in self-attention		0		Amnon Shashua, Daniel Jannai, Noam Wies, Yoav Levine
1018		Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations		0		Andrey Y. Lokhov, Mateusz Wilinski
1019		Leveraging Language to Learn Program Abstractions and Search Heuristics		0		Catherine Wong, Jacob Andreas, Joshua B. Tenenbaum, Kevin Ellis
1020		Leveraging Sparse Linear Layers for Debuggable Deep Networks		0		Aleksander Madry, Eric Wong, Shibani Santurkar
1021		Learning Neural Network Subspaces		0		Ali Farhadi, Carlos Guestrin, Maxwell Horton, Mitchell Wortsman, Mohammad Rastegari
1022		Conjugate Energy-Based Models		0		Babak Esmaeili, Hao Wu, JanWillem van de Meent, JeanBaptiste Tristan, Michael L. Wick
1023		Making Paper Reviewing Robust to Bid Manipulation Attacks		0		Chuan Guo, Felix Wu, Kilian Q. Weinberger, Laurens van der Maaten, Rahul Kidambi, Ruihan Wu
1024		LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning		0		Christian Szegedy, Jimmy Ba, Markus N. Rabe, Roger B. Grosse, Wenda Li, Yuhuai Wu
1025		ChaCha for Online AutoML		0		Chi Wang, John Langford, Marco Rossi, Paul Mineiro, Qingyun Wu
1026		Temporally Correlated Task Scheduling for Sequence Learning		0		Lewen Wang, Lijun Wu, Shufang Xie, Tao Qin, TieYan Liu, Weiqing Liu, Xueqing Wu, Yingce Xia
1027		Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels		0		Bo Han, Gang Niu, Haifeng Liu, Mingming Gong, Nannan Wang, Songhua Wu, Tongliang Liu, Xiaobo Xia
1028		On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP		0		Liwei Wang, Simon S. Du, Tianhao Wu, Yunchang Yang
1029		Generative Video Transformer: Can Objects be the Words?		0		Jaesik Yoon, Sungjin Ahn, YiFu Wu
1030		Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning		0		Hanlin Goh, Jian Zhang, Joshua M. Susskind, Nitish Srivastava, Ruslan Salakhutdinov, Shuangfei Zhai, Yue Wu
1031		Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach		0		Hengrui Zhang, Hongyuan Zha, Junchi Yan, Qitian Wu, Xiaofeng Gao
1032		Data-efficient Hindsight Off-policy Option Learning		0		Abbas Abdolmaleki, Dhruva Tirumala, Dushyant Rao, Markus Wulfmeier, Martin A. Riedmiller, Michael Neunert, Nicolas Heess, Noah Y. Siegel, Roland Hafner, Thomas Lampe, Tim Hertweck
1033		A Bit More Bayesian: Domain-Invariant Learning with Uncertainty		0		Cees Snoek, Jiayi Shen, Ling Shao, Xiantong Zhen, Zehao Xiao
1034		On the Optimality of Batch Policy Optimization Algorithms		0		Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans, Jincheng Mei, Lihong Li, Tor Lattimore, Yifan Wu
1035		CRFL: Certifiably Robust Federated Learning against Backdoor Attacks		0		Bo Li, Chulin Xie, Minghao Chen, PinYu Chen
1036		RNNRepair: Automatic RNN Repair via Model-based Analysis		0		Jian Wang, Lei Ma, Lingjun Zhou, Wei Le, Wenbo Guo, Xiaofei Xie, Xinyu Xing, Yang Liu
1037		Deep Reinforcement Learning amidst Continual Structured Non-Stationarity		0		Annie Xie, Chelsea Finn, James Harrison
1038		Batch Value-function Approximation with Only Realizability		0		Nan Jiang, Tengyang Xie
1039		Interaction-Grounded Learning		0		Ida Momennejad, John Langford, Paul Mineiro, Tengyang Xie
1040		Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization		0		Percy Liang, Sang Michael Xie, Tengyu Ma
1041		Learning While Playing in Mean-Field Games: Convergence and Optimality		0		Andreea Minca, Qiaomin Xie, Zhaoran Wang, Zhuoran Yang
1042		Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization		0		Li Yuan, Masashi Sugiyama, Zeke Xie, Zhanxing Zhu
1043		A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization		0		Ran Xin, Soummya Kar, Usman A. Khan
1044		Explore Visual Concept Formation for Image Classification		0		Guoyou Wang, Shengzhou Xiong, Yihua Tan
1045		CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee		0		Guanghui Lan, Tengyu Xu, Yingbin Liang
1046		To be Robust or to be Fair: Towards Fairness in Adversarial Training		0		Anil K. Jain, Han Xu, Jiliang Tang, Xiaorui Liu, Yaxin Li
1047		Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold		0		Takeru Matsuda, Wenkai Xu
1048		Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives		0		Chuanwei Ruan, Da Xu, Evren Körpeoglu, Kannan Achan, Sushant Kumar
1049		Dash: Semi-Supervised Learning with Dynamic Thresholding		0		Baigui Sun, Hao Li, Jinxing Ye, Lei Shang, Qi Qian, Rong Jin, Yi Xu, Yufeng Li
1050		An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming		0		Chence Shi, Jian Tang, Minkai Xu, Rafael GómezBombarelli, Shitong Luo, Wujie Wang, Yoshua Bengio
1051		Self-supervised Graph-level Representation Learning with Local and Global Structure		0		Bingbing Ni, Hang Wang, Hongyu Guo, Jian Tang, Minghao Xu
1052		Conformal prediction interval for dynamic time-series		0		Chen Xu, Yao Xie
1053		Learner-Private Convex Optimization		0		Dana Yang, Jiaming Xu, Kuang Xu
1054		Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality		0		Tengyu Xu, Yingbin Liang, Zhaoran Wang, Zhuoran Yang
1055		Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth		0		Kenji Kawaguchi, Keyulu Xu, Mozhi Zhang, Stefanie Jegelka
1056		Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings		0		Hamsa Bastani, Kan Xu, Osbert Bastani, Xuanyi Zhao
1057		KNAS: Green Neural Architecture Search		0		Hongxia Yang, Jingjing Xu, Junyang Lin, Liang Zhao, Rundong Gao, Xu Sun
1058		Structured Convolutional Kernel Networks for Airline Crew Scheduling		0		François Soumis, Simon LacosteJulien, Yassine Yaakoubi
1059		Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences		0		Florian Yger, Ikko Yamane, Junya Honda, Masashi Sugiyama
1060		EL-Attention: Memory Efficient Lossless Attention for Generation		0		Jiusheng Chen, Nan Duan, Nikhil Bhendawade, Ruofei Zhang, Weizhen Qi, Yeyun Gong, Yu Yan
1061		Link Prediction with Persistent Homology: An Interactive View		0		Chao Chen, Liangcai Gao, Tengfei Ma, Zhi Tang, Zuoyu Yan
1062		CATE: Computation-aware Neural Architecture Encoding with Transformers		0		Fei Liu, Kaiqiang Song, Mi Zhang, Shen Yan
1063		On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework		0		Chao Ma, Fei Wen, Peilin Liu, Rendong Ying, Zeyu Yan
1064		CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection		0		Gang Niu, Hanshu Yan, Jiashi Feng, Jingfeng Zhang, Masashi Sugiyama, Vincent Y. F. Tan
1065		Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models		0		Song Mei, Yu Bai, Zitong Yang
1066		Learning Optimal Auctions with Correlated Valuations from Samples		0		Chunxue Yang, Xiaohui Bei
1067		Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks		0		Edward J. Hu, Greg Yang
1068		LARNet: Lie Algebra Residual Network for Face Recognition		0		Dihong Gong, DongMing Yan, Wei Liu, Xiaohong Jia, Xiaolong Yang, Zhifeng Li
1069		BASGD: Buffered Asynchronous SGD for Byzantine Learning		0		WuJun Li, YiRui Yang
1070		Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics		0		Etai Littwin, Greg Yang
1071		Graph Neural Networks Inspired by Classical Iterative Algorithms		0		David Wipf, Jinjing Zhou, Quan Gan, Tang Liu, Yangkun Wang, Yongyi Yang, Zengfeng Huang, Zheng Zhang, Zhewei Wei
1072		Representation Matters: Offline Pretraining for Sequential Decision Making		0		Mengjiao Yang, Ofir Nachum
1073		Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies		0		Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge, TsungYen Yang
1074		Voice2Series: Reprogramming Acoustic Models for Time Series Classification		0		ChaoHan Huck Yang, PinYu Chen, YunYun Tsai
1075		When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC		0		Qianqian Xu, Qingming Huang, Shilong Bao, Xiaochun Cao, Yuan He, Zhiyong Yang
1076		Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss		0		Junchi Yan, Qi Ming, Qi Tian, Wentao Wang, Xiaopeng Zhang, Xue Yang
1077		Delving into Deep Imbalanced Regression		0		Dina Katabi, Hao Wang, Kaiwen Zha, YingCong Chen, Yuzhe Yang
1078		Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks		0		Peng Li, Wenrui Zhang, Yukun Yang
1079		SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks		0		Lida Li, Lingxiao Yang, RuYuan Zhang, Xiaohua Xie
1080		HAWQ-V3: Dyadic Neural Network Quantization		0		Amir Gholami, Eric Tan, Jiali Yu, Kurt Keutzer, Leyuan Wang, Michael W. Mahoney, Qijing Huang, Yida Wang, Zhangcheng Zheng, Zhen Dong, Zhewei Yao
1081		Improving Generalization in Meta-learning via Task Augmentation		0		Huaxiu Yao, James Zou, Junzhou Huang, Li Tian, Linjun Zhang, LongKai Huang, Ying Wei, Zhenhui Li
1082		Deep Learning for Functional Data Analysis with Adaptive Basis Layers		0		JaneLing Wang, Jonas Mueller, Junwen Yao
1083		Addressing Catastrophic Forgetting in Few-Shot Problems		0		David Barber, Hippolyt Ritter, Pau Ching Yap
1084		Reinforcement Learning with Prototypical Representations		0		Alessandro Lazaric, Denis Yarats, Lerrel Pinto, Rob Fergus
1085		Elementary superexpressive activations		0		Dmitry Yarotsky
1086		Break-It-Fix-It: Unsupervised Learning for Program Repair		0		Michihiro Yasunaga, Percy Liang
1087		Improving Gradient Regularization using Complex-Valued Neural Networks		0		Eric C. Yeats, Hai Li, Yiran Chen
1088		Neighborhood Contrastive Learning Applied to Online Patient Monitoring		0		Francesco Locatello, Gideon Dresdner, Gunnar Rätsch, Hugo Yèche, Matthias Hüser
1089		From Local Structures to Size Generalization in Graph Neural Networks		0		Eli A. Meirom, Ethan Fetaya, Gal Chechik, Gilad Yehudai, Haggai Maron
1090		Improved OOD Generalization via Adversarial Training and Pretraing		0		Jiacheng Sun, Lifeng Shang, Lu Hou, Mingyang Yi, Qun Liu, Xin Jiang, Zhiming Ma
1091		Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints		0		Karl Henrik Johansson, Lihua Xie, Tao Yang, Tianyou Chai, Xinlei Yi, Xiuxian Li
1092		Continuous-time Model-based Reinforcement Learning		0		Harri Lähdesmäki, Markus Heinonen, Çagatay Yildiz
1093		Distributed Nyström Kernel Learning with Communications		0		Dan Meng, Rong Yin, Weiping Wang, Yong Liu
1094		Path Planning using Neural A* Search		0		Asako Kanezaki, Mai Nishimura, Mohammadamin Barekatain, Ryo Yonetani, Tatsunori Taniai
1095		SinIR: Efficient General Image Manipulation with Single Image Reconstruction		0		Jihyeong Yoo, Qifeng Chen
1096		Conditional Temporal Neural Processes with Covariance Loss		0		Boseon Yoo, Jaesik Choi, Janghoon Ju, Jiwoo Lee, Seijun Chung, Soyeon Kim
1097		Adversarial Purification with Score-based Generative Models		0		Jongmin Yoon, Juho Lee, Sung Ju Hwang
1098		Federated Continual Learning with Weighted Inter-client Transfer		0		Eunho Yang, Giwoong Lee, Jaehong Yoon, Sung Ju Hwang, Wonyong Jeong
1099		Autoencoding Under Normalization Constraints		0		Frank Chongwoo Park, Sangwoong Yoon, YungKyun Noh
1100		Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm		0		Ernest K. Ryu, Taeho Yoon
1101		Lower-Bounded Proper Losses for Weakly Supervised Classification		0		Masashi Sugiyama, Shuhei M. Yoshida, Takashi Takenouchi
1102		Graph Contrastive Learning Automated		0		Tianlong Chen, Yang Shen, Yuning You, Zhangyang Wang
1103		LogME: Practical Assessment of Pre-trained Models for Transfer Learning		0		Jianmin Wang, Kaichao You, Mingsheng Long, Yong Liu
1104		Exponentially Many Local Minima in Quantum Neural Networks		0		Xiaodi Wu, Xuchen You
1105		DAGs with No Curl: An Efficient DAG Structure Learning Approach		0		Naiyu Yin, Qiang Ji, Tian Gao, Yue Yu
1106		Provably Efficient Algorithms for Multi-Objective Competitive RL		0		Jingzhao Zhang, Suvrit Sra, Tiancheng Yu, Yi Tian
1107		Whittle Networks: A Deep Likelihood Model for Time Series		0		Fabrizio Ventola, Kristian Kersting, Zhongjie Yu
1108		Deep Latent Graph Matching		0		Baoxin Li, Junchi Yan, Runzhong Wang, Tianshu Yu
1109		Learning Generalized Intersection Over Union for Dense Pixelwise Prediction		0		ByungIn Yoo, JaeJoon Han, Jiaqian Yu, Jingtao Xu, Qiang Wang, Weiming Li, Yiwei Chen
1110		Large Scale Private Learning via Low-rank Reparametrization		0		Da Yu, Huishuai Zhang, Jian Yin, TieYan Liu, Wei Chen
1111		Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity		0		Tianbao Yang, Yi Xu, Yiming Ying, Zhishuai Guo, Zhuoning Yuan
1112		Neural Tangent Generalization Attacks		0		ChiaHung Yuan, ShanHung Wu
1113		On Explainability of Graph Neural Networks via Subgraph Explorations		0		Haiyang Yu, Hao Yuan, Jie Wang, Kang Li, Shuiwang Ji
1114		Federated Composite Optimization		0		Honglin Yuan, Manzil Zaheer, Sashank J. Reddi
1115		Three Operator Splitting with a Nonconvex Loss Function		0		Alp Yurtsever, Suvrit Sra, Varun Mangalick
1116		Grey-box Extraction of Natural Language Models		0		Andrew Paverd, Boris Köpf, Santiago ZanellaBéguelin, Shruti Tople
1117		Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL		0		Andrea Zanette
1118		Learning Binary Decision Trees by Argmin Differentiation		0		Matt J. Kusner, Valentina Zantedeschi, Vlad Niculae
1119		Barlow Twins: Self-Supervised Learning via Redundancy Reduction		0		Ishan Misra, Jure Zbontar, Li Jing, Stéphane Deny, Yann LeCun
1120		You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling		0		Glenn Moo Fung, Sathya N. Ravi, Shailesh Acharya, Vikas Singh, Yunyang Xiong, Zhanpeng Zeng
1121		DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning		0		Daochen Zha, Ji Liu, Jingru Xie, Sheng Zhang, Wenye Ma, Xia Hu, Xiangru Lian
1122		DORO: Distributional and Outlier Robust Optimization		0		Chen Dan, J. Zico Kolter, Pradeep Ravikumar, Runtian Zhai
1123		Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?		0		Aaron C. Courville, Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang
1124		Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons		0		Bohang Zhang, Di He, Liwei Wang, Tianle Cai, Zhou Lu
1125		Efficient Lottery Ticket Finding: Less Data is More		0		Tianlong Chen, Xuxi Chen, Zhangyang Wang, Zhenyu Zhang
1126		Robust Policy Gradient against Strong Data Corruption		0		Wen Sun, Xiaojin Zhu, Xuezhou Zhang, Yiding Chen
1127		Near Optimal Reward-Free Reinforcement Learning		0		Simon S. Du, Xiangyang Ji, Zihan Zhang
1128		Bayesian Attention Belief Networks		0		Bo Chen, Mingyuan Zhou, Shujian Zhang, Xinjie Fan
1129		Understanding Failures in Out-of-Distribution Detection with Deep Generative Models		0		Lily H. Zhang, Mark Goldstein, Rajesh Ranganath
1130		Poolingformer: Long Document Modeling with Pooling Attention		0		Hang Zhang, Jiancheng Lv, Nan Duan, Weisheng Li, Weizhu Chen, Yelong Shen, Yeyun Gong
1131		Probabilistic Generating Circuits		0		Brendan Juba, Guy Van den Broeck, Honghua Zhang
1132		PAPRIKA: Private Online False Discovery Rate Control		0		Gautam Kamath, Rachel Cummings, Wanrong Zhang
1133		Learning from Noisy Labels with No Change to the Training Process		0		Jane H. Lee, Mingyuan Zhang, Shivani Agarwal
1134		Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation		0		Bo Li, Huichen Li, Jiawei Zhang, Linyi Li, Shuang Yang, Xiaolu Zhang
1135		FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning		0		Chen Wang, Guangming Xie, Tianhao Zhang, Yueheng Li, Zongqing Lu
1136		Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization		0		Gang Niu, Masashi Sugiyama, Yivan Zhang
1137		Quantile Bandits for Best Arms Identification		0		Cheng Soon Ong, Mengyan Zhang
1138		Towards Better Robust Generalization with Shift Consistency Regularization		0		Kaizhu Huang, Qiufeng Wang, Rui Zhang, Shufei Zhang, Xinping Yi, Zhuang Qian
1139		On-Policy Deep Reinforcement Learning for the Average-Reward Criterion		0		Keith W. Ross, Yiming Zhang
1140		Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution		0		Jinwei Gu, Ping Luo, Wenqi Shao, Xiaogang Wang, Zhaoyang Zhang
1141		iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients		0		M. Ehsan Abbasnejad, Miao Zhang, Reza Haffari, Shirui Pan, Steven W. Su, Xiaojun Chang
1142		Deep Coherent Exploration for Continuous Control		0		Herke van Hoof, Yijie Zhang
1143		Average-Reward Off-Policy Policy Evaluation with Function Approximation		0		Richard S. Sutton, Shangtong Zhang, Shimon Whiteson, Yi Wan
1144		Matrix Sketching for Secure Collaborative Machine Learning		0		Mengjiao Zhang, Shusen Wang
1145		MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration		0		Changjie Fan, Chongjie Zhang, Hao Hu, Jianhao Wang, Jin Zhang, Tong Chen, Yingfeng Chen
1146		World Model as a Graph: Learning Latent Landmarks for Planning		0		Bradly C. Stadie, Ge Yang, Lunjun Zhang
1147		Breaking the Deadly Triad with a Target Network		0		Hengshuai Yao, Shangtong Zhang, Shimon Whiteson
1148		Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference		0		Pengchuan Zhang, Shumao Zhang, Thomas Y. Hou
1149		Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation		0		Jean Honorio, Qian Zhang, Yilin Zheng
1150		Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity		0		Xiangyang Ji, Yuan Zhou, Zihan Zhang
1151		Learning to Rehearse in Long Sequence Memorization		0		Chang Zhou, Hongxia Yang, Jianxin Ma, Jingren Zhou, Zhijie Lin, Zhou Zhao, Zhu Zhang
1152		Dataset Condensation with Differentiable Siamese Augmentation		0		Bo Zhao, Hakan Bilen
1153		Joining datasets via data augmentation in the label space for neural networks		0		Gang Chen, Junbo Zhao, Linji Xue, Mingfeng Ou, Sai Wu, Yunkai Cui
1154		Calibrate Before Use: Improving Few-shot Performance of Language Models		0		Dan Klein, Eric Wallace, Sameer Singh, Shi Feng, Zihao Zhao
1155		Few-Shot Neural Architecture Search		0		Linnan Wang, Rodrigo Fonseca, Tian Guo, Yiyang Zhao, Yuandong Tian
1156		Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks		0		Da Yan, Dejing Dou, Jiayin Jin, Lingfei Wu, Ruoming Jin, Xin Zhao, Yang Zhou, Zeru Zhang, Zijie Zhang
1157		Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation		0		JunKun Chen, Liang Huang, Mingbo Ma, Renjie Zheng
1158		Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination		0		Chao Gou, FeiYue Wang, Lan Yan, Wenbo Zheng
1159		How Framelets Enhance Graph Neural Networks		0		Bingxin Zhou, Guido Montúfar, Junbin Gao, Ming Li, Pietro Lió, Xuebin Zheng, Yuguang Wang
1160		Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions		0		Vincent Y. F. Tan, Wang Chi Cheung, Zixin Zhong
1161		Towards Distraction-Robust Active Visual Tracking		0		Fangwei Zhong, Peng Sun, Tingyun Yan, Wenhan Luo, Yizhou Wang
1162		Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping		0		Dongruo Zhou, Jiafan He, Quanquan Gu
1163		Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation		0		Aurick Zhou, Sergey Levine
1164		Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations		0		Fan Zhou, Ping Li
1165		Incentivized Bandit Learning with Self-Reinforcing User Preferences		0		Chaosheng Dong, Jia Liu, Jingyuan Deng, Tianchen Zhou
1166		Towards Defending against Adversarial Examples via Attack-Invariant Features		0		Bo Han, Chunlei Peng, Dawei Zhou, Nannan Wang, Tongliang Liu, Xinbo Gao
1167		Asymmetric Loss Functions for Learning with Noisy Labels		0		Junjun Jiang, Xiangyang Ji, Xianming Liu, Xin Gao, Xiong Zhou
1168		Examining and Combating Spurious Features under Distribution Shift		0		Chunting Zhou, Graham Neubig, Paul Michel, Xuezhe Ma
1169		Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm		0		Mingkang Zhu, Tianlong Chen, Zhangyang Wang
1170		Data-Free Knowledge Distillation for Heterogeneous Federated Learning		0		Jiayu Zhou, Junyuan Hong, Zhuangdi Zhu
1171		Spectral vertex sparsifiers and pair-wise spanners over distributed graphs		0		Chunjiang Zhu, Jinbo Bi, Qinqing Liu
1172		Few-shot Language Coordination by Modeling Theory of Mind		0		Graham Neubig, Hao Zhu, Yonatan Bisk
1173		Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels		0		Yang Liu, Yiwen Song, Zhaowei Zhu
1174		Commutative Lie Group VAE for Disentanglement Learning		0		Chang Xu, Dacheng Tao, Xinqi Zhu
1175		Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks		0		Fulin Luo, Haizhou Li, Huiping Zhuang, KarAnn Toj, Zhenyu Weng, Zhiping Lin
1176		Demystifying Inductive Biases for (Beta-)VAE Based Architectures		0		Dominik Zietlow, Georg Martius, Michal Rolínek
1177		Recovering AES Keys with a Deep Cold Boot Attack		0		Eliya Nachmani, Itamar Zimerman, Lior Wolf
1178		Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning		0		Claire Glanois, Matthieu Zimmer, Paul Weng, Umer Siddique
1179		Contrastive Learning Inverts the Data Generating Process		0		Matthias Bethge, Roland S. Zimmermann, Steffen Schneider, Wieland Brendel, Yash Sharma
1180		Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning		0		Cong Lu, Katja Hofmann, Kristian Hartikainen, Leo Feng, Luisa M. Zintgraf, Maximilian Igl, Shimon Whiteson
1181		Provable Robustness of Adversarial Training for Learning Halfspaces with Noise		0		Difan Zou, Quanquan Gu, Spencer Frei
1182		On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients		0		Difan Zou, Quanquan Gu
1183		A Functional Perspective on Learning Symmetric Functions with Neural Networks		0		Aaron Zweig, Joan Bruna