1 PAC-Bayesian Bounds on Rate-Efficient Classifiers 0 Alhabib Abbas, Yiannis Andreopoulos 2 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning 0 Lisha Chen, Momin Abbas, PinYu Chen, Quan Xiao, Tianyi Chen 3 An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn 0 Christopher Marquis, Elisabetta Cornacchia, Emmanuel Abbe, Jan Hazla 4 Active Sampling for Min-Max Fairness 0 Chris Russell, Jacob D. Abernethy, Jamie Morgenstern, Jie Zhang, Matthäus Kleindessner, Pranjal Awasthi 5 Meaningfully debugging model mistakes using conceptual counterfactual explanations 0 Abubakar Abid, James Zou, Mert Yüksekgönül 6 Batched Dueling Bandits 0 Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan 7 Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models 0 Abhineet Agarwal, Bin Yu, Chandan Singh, Omer Ronen, Yan Shuo Tan 8 Deep equilibrium networks are sensitive to initialization statistics 0 Atish Agarwala, Samuel S. Schoenholz 9 Learning of Cluster-based Feature Importance for Electronic Health Record Time-series 0 Henrique Aguiar, Mauro D. Santos, Peter J. Watkinson, Tingting Zhu 10 On the Convergence of the Shapley Value in Parametric Bayesian Learning Games 0 Bryan Kian Hsiang Low, Lucas Agussurja, Xinyi Xu 11 Individual Preference Stability for Clustering 0 Ali Vakilian, Jamie Morgenstern, Matthäus Kleindessner, Pattara Sukprasert, Pranjal Awasthi, Saba Ahmadi, Samir Khuller 12 Understanding the unstable convergence of gradient descent 0 Jingzhao Zhang, Kwangjun Ahn, Suvrit Sra 13 Minimum Cost Intervention Design for Causal Effect Identification 0 Jalal Etesami, Negar Kiyavash, Sina Akbari 14 How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models 0 Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar 15 A Natural Actor-Critic Framework for Zero-Sum Markov Games 0 Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher 16 Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations 0 Edward Raff, James Holt, Mohammad Mahmudul Alam, Tim Oates 17 Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer 0 Ana L. C. Bazzan, Bruno C. da Silva, Lucas Nunes Alegre 18 Structured Stochastic Gradient MCMC 0 Alex J. Boyd, Antonios Alexos, Stephan Mandt 19 XAI for Transformers: Better Explanations through Conservative Propagation 0 Ameen Ali, Grégoire Montavon, KlausRobert Müller, Lior Wolf, Oliver Eberle, Thomas Schnake 20 RUMs from Head-to-Head Contests 0 Alessandro Panconesi, Andrew Tomkins, Flavio Chierichetti, Matteo Almanza, Ravi Kumar 21 Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval 0 Dan Roth, Frank F. Xu, Graham Neubig, Junxian He, Sudipta Sengupta, Uri Alon 22 Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees 0 José Antonio Lozano, Santiago Mazuelas, Verónica Álvarez 23 Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation 0 Carla P. Gomes, Sebastian E. Ament 24 Public Data-Assisted Mirror Descent for Private Model Training 0 Abhradeep Thakurta, Arun Ganesh, Ehsan Amid, Om Thakkar, Rajiv Mathews, Shuang Song, Swaroop Ramaswamy, Thomas Steinke, Vinith M. Suriyakumar 25 On Last-Iterate Convergence Beyond Zero-Sum Games 0 Gabriele Farina, Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm 26 Online Algorithms with Multiple Predictions 0 Amit Kumar, Debmalya Panigrahi, Keerti Anand, Rong Ge 27 Learning to Hash Robustly, Guaranteed 0 Alexandr Andoni, Daniel Beaglehole 28 Set Based Stochastic Subsampling 0 Bruno Andreis, Eunho Yang, Juho Lee, Seanie Lee, Sung Ju Hwang, Tuan A. Nguyen 29 Towards Understanding Sharpness-Aware Minimization 0 Maksym Andriushchenko, Nicolas Flammarion 30 Fair and Fast k-Center Clustering for Data Summarization 0 Adam Kurpisz, Haris Angelidakis, Leon Sering, Rico Zenklusen 31 Interactive Correlation Clustering with Existential Cluster Constraints 0 Andrew McCallum, Nicholas Monath, Nishant Yadav, Rico Angell 32 Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging 0 Amit Pal Singh Kohli, Anastasios N. Angelopoulos, Jitendra Malik, Michael I. Jordan, Srigokul Upadhyayula, Stephen Bates, Thayer Alshaabi, Yaniv Romano 33 AdaGrad Avoids Saddle Points 0 Georgios Piliouras, Kimon Antonakopoulos, Panayotis Mertikopoulos, Xiao Wang 34 UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees 0 Dong Quan Vu, Kfir Y. Levy, Kimon Antonakopoulos, Panayotis Mertikopoulos, Volkan Cevher 35 Adapting the Linearised Laplace Model Evidence for Modern Deep Learning 0 David Janz, Eric T. Nalisnick, Erik A. Daxberger, James Urquhart Allingham, Javier Antorán, José Miguel HernándezLobato, Riccardo Barbano 36 EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning 0 Chengqi Zhang, Guodong Long, Jing Jiang, Shuang Ao, Tianyi Zhou, Xuan Song 37 Online Balanced Experimental Design 0 Anup B. Rao, David Arbour, Drew Dimmery, Tung Mai 38 VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty 0 Bobak J. Mortazavi, Randy Ardywibowo, Shuai Huang, Xiaoning Qian, Zepeng Huo, Zhangyang Wang 39 Thresholded Lasso Bandit 0 Alexandre Proutière, Kaito Ariu, Kenshi Abe 40 Gradient Based Clustering 0 Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar 41 Understanding Gradient Descent on the Edge of Stability in Deep Learning 0 Abhishek Panigrahi, Sanjeev Arora, Zhiyuan Li 42 Private optimization in the interpolation regime: faster rates and hardness results 0 Gary Cheng, Hilal Asi, John C. Duchi, Karan N. Chadha 43 Optimal Algorithms for Mean Estimation under Local Differential Privacy 0 Hilal Asi, Kunal Talwar, Vitaly Feldman 44 Asymptotically-Optimal Gaussian Bandits with Side Observations 0 Alexia Atsidakou, Constantine Caramanis, Orestis Papadigenopoulos, Sanjay Shakkottai, Sujay Sanghavi 45 Congested Bandits: Optimal Routing via Short-term Resets 0 Kostas Kollias, Kush Bhatia, Pranjal Awasthi, Sreenivas Gollapudi 46 Do More Negative Samples Necessarily Hurt In Contrastive Learning? 0 Nishanth Dikkala, Pranjal Awasthi, Pritish Kamath 47 H-Consistency Bounds for Surrogate Loss Minimizers 0 Anqi Mao, Mehryar Mohri, Pranjal Awasthi, Yutao Zhong 48 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime 0 Kyriakos Axiotis, Maxim Sviridenko 49 Proving Theorems using Incremental Learning and Hindsight Experience Replay 0 Ankit Anand, Doina Precup, Eser Aygün, Laurent Orseau, Lei M. Zhang, Shibl Mourad, Stephen Marcus McAleer, Vlad Firoiu, Xavier Glorot 50 Near-optimal rate of consistency for linear models with missing values 0 Alexis Ayme, Aymeric Dieuleveut, Claire Boyer, Erwan Scornet 51 How Tempering Fixes Data Augmentation in Bayesian Neural Networks 0 Gregor Bachmann, Lorenzo Noci, Thomas Hofmann 52 ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD 0 Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas 53 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model 0 Byeonghu Na, HeeSun Bae, IlChul Moon, JoonHo Jang, Kyungwoo Song, Seungjae Shin 54 data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language 0 Alexei Baevski, Arun Babu, Jiatao Gu, Michael Auli, Qiantong Xu, WeiNing Hsu 55 End-to-End Balancing for Causal Continuous Treatment-Effect Estimation 0 David Heckerman, Eric Tchetgen Tchetgen, Mohammad Taha Bahadori 56 A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs 0 Edwin R. Hancock, Lixin Cui, Lu Bai 57 Near-Optimal Learning of Extensive-Form Games with Imperfect Information 0 Chi Jin, Song Mei, Tiancheng Yu, Yu Bai 58 Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification 0 Carla P. Gomes, Junwen Bai, Shufeng Kong 59 A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing 0 He Bai, JunKun Chen, Liang Huang, Mingbo Ma, Renjie Zheng, Xintong Li 60 Stability Based Generalization Bounds for Exponential Family Langevin Dynamics 0 Arindam Banerjee, Tiancong Chen, Xinyan Li, Yingxue Zhou 61 Certified Neural Network Watermarks with Randomized Smoothing 0 Arpit Bansal, Curtis Wigington, John P. Dickerson, Michael J. Curry, PingYeh Chiang, Rajiv Jain, Tom Goldstein, Varun Manjunatha 62 Data Scaling Laws in NMT: The Effect of Noise and Architecture 0 Ankush Garg, Behnam Neyshabur, Behrooz Ghorbani, Biao Zhang, Colin Cherry, Orhan Firat, Yamini Bansal 63 Learning Stable Classifiers by Transferring Unstable Features 0 Regina Barzilay, Shiyu Chang, Yujia Bao 64 Fast Composite Optimization and Statistical Recovery in Federated Learning 0 Michael Crawshaw, Mingrui Liu, Shan Luo, Yajie Bao 65 Generative Modeling for Multi-task Visual Learning 0 Martial Hebert, YuXiong Wang, Zhipeng Bao 66 Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models 0 Bo Zhang, Chongxuan Li, Fan Bao, Jiacheng Sun, Jun Zhu 67 On the Surrogate Gap between Contrastive and Supervised Losses 0 Han Bao, Kento Nozawa, Yoshihiro Nagano 68 Representation Topology Divergence: A Method for Comparing Neural Network Representations 0 Evgeny Burnaev, Ilya Trofimov, Nikita Balabin, Serguei Barannikov 69 Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation 0 Adarsh Barik, Jean Honorio 70 Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time 0 Burak Bartan, Mert Pilanci 71 Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games 0 Lucas Baudin, Rida Laraki 72 Information Discrepancy in Strategic Learning 0 Chara Podimata, Juba Ziani, Yahav Bechavod, Zhiwei Steven Wu 73 On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces 0 Alec Koppel, Amrit Singh Bedi, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Souradip Chakraborty 74 Imitation Learning by Estimating Expertise of Demonstrators 0 Andy Shih, Dorsa Sadigh, Mark Beliaev, Ramtin Pedarsani, Stefano Ermon 75 Matching Normalizing Flows and Probability Paths on Manifolds 0 Aditya Grover, Brandon Amos, Heli BenHamu, Joey Bose, Maximilian Nickel, Ricky T. Q. Chen, Samuel Cohen, Yaron Lipman 76 Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models 0 Aadirupa Saha, Eyke Hüllermeier, Viktor Bengs 77 Neural Inverse Kinematic 0 Lior Wolf, Nitsan Blau, Raphael Bensadoun, Shir Gur 78 Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes 0 Andrew Gordon Wilson, Gregory W. Benton, Wesley J. Maddox 79 Gradient Descent on Neurons and its Link to Approximate Second-order Optimization 0 Frederik Benzing 80 Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints 0 Alberto Marchesi, Federico Cacciamani, Francesco Trovò, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti 81 Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification 0 Amir AtapourAbarghouei, Peter J. Bevan 82 Approximate Bayesian Computation with Domain Expert in the Loop 0 Ayush Bharti, Louis Filstroff, Samuel Kaski 83 Minimax M-estimation under Adversarial Contamination 0 Gennady Samorodnitsky, Guanhua Fang, Ping Li, Sujay Bhatt 84 Nearly Optimal Catoni's M-estimator for Infinite Variance 0 Gennady Samorodnitsky, Guanhua Fang, Ping Li, Sujay Bhatt 85 Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning 0 Alberto Bietti, ChenYu Wei, John Langford, Miroslav Dudík, Zhiwei Steven Wu 86 Non-Vacuous Generalisation Bounds for Shallow Neural Networks 0 Benjamin Guedj, Felix Biggs 87 Structure-preserving GANs 0 Jeremiah Birrell, Luc ReyBellet, Markos A. Katsoulakis, Wei Zhu 88 Scalable Spike-and-Slab 0 Lester Mackey, Niloy Biswas, XiaoLi Meng 89 Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities 0 Alexander Meinke, Julian Bitterwolf, Matthias Hein, Maximilian Augustin 90 A query-optimal algorithm for finding counterfactuals 0 Caleb Koch, Guy Blanc, Jane Lange, LiYang Tan 91 Popular decision tree algorithms are provably noise tolerant 0 Ali Malik, Guy Blanc, Jane Lange, LiYang Tan 92 Optimizing Sequential Experimental Design with Deep Reinforcement Learning 0 Amir Dezfouli, Edwin V. Bonilla, Iadine Chades, Tom Blau 93 Lagrangian Method for Q-Function Learning (with Applications to Machine Translation) 0 Bojun Huang 94 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model 0 Alessandro Rinaldo, Heejong Bong 95 How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective 0 Akhilan Boopathy, Ila Fiete 96 Improving Language Models by Retrieving from Trillions of Tokens 0 Aidan Clark, Albin Cassirer, Andy Brock, Arthur Mensch, Aurelia Guy, Bogdan Damoc, Chris Jones, Diego de Las Casas, Eliza Rutherford, Erich Elsen, Geoffrey Irving, George van den Driessche, Jack W. Rae, Jacob Menick, JeanBaptiste Lespiau, Jordan Hoffmann, Karen Simonyan, Katie Millican, Laurent Sifre, Loren Maggiore, Michela Paganini, Oriol Vinyals, Roman Ring, Saffron Huang, Sebastian Borgeaud, Simon Osindero, Tom Hennigan, Trevor Cai 97 Lie Point Symmetry Data Augmentation for Neural PDE Solvers 0 Daniel E. Worrall, Johannes Brandstetter, Max Welling 98 An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees 0 Christophe Biernacki, Guillaume Braun, Hemant Tyagi 99 Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems 0 Daniel Durstewitz, Florian Hess, Jonas M. Mikhaeil, Leonard F. Bereska, Manuel Brenner, PoChen Kuo, Zahra Monfared 100 Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters 0 Céline Brouard, Florence d'AlchéBuc, Juho Rousu, Luc BrogatMotte, Rémi Flamary 101 Efficient Learning of CNNs using Patch Based Features 0 Alon Brutzkus, Alon Regev Netser, Amir Globerson, Eran Malach, Shai ShalevShwartz 102 Causal structure-based root cause analysis of outliers 0 Dominik Janzing, Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum 103 IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages 0 Desmond Elliott, Edoardo Maria Ponti, Emanuele Bugliarello, Fangyu Liu, Ivan Vulic, Jonas Pfeiffer, Siva Reddy 104 Interactive Inverse Reinforcement Learning for Cooperative Games 0 AnneMarie George, Christos Dimitrakakis, Thomas Kleine Büning 105 Convolutional and Residual Networks Provably Contain Lottery Tickets 0 Rebekka Burkholz 106 Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path 0 Haoyuan Cai, Simon S. Du, Tengyu Ma 107 Convergence of Invariant Graph Networks 0 Chen Cai, Yusu Wang 108 Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency 0 Qi Cai, Zhaoran Wang, Zhuoran Yang 109 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times 0 Alessandro Lazaric, Daniele Calandriello, Lorenzo Rosasco, Luigi Carratino, Michal Valko 110 Adaptive Gaussian Process Change Point Detection 0 Andreas Krause, Edoardo Caldarelli, Philippe Wenk, Stefan Bauer 111 Measuring dissimilarity with diffeomorphism invariance 0 Alessandro Rudi, Benjamin Guedj, Carlo Ciliberto, Théophile Cantelobre 112 A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling 0 Chao Lan, Yiting Cao 113 Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications 0 Alexandre Capone, Armin Lederer, Sandra Hirche 114 Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning 0 Cosimo Lupo, Cristiano Capone, Paolo Muratore, Pier Stanislao Paolucci 115 A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving 0 Federico Cacciamani, Luca Carminati, Marco Ciccone, Nicola Gatti 116 RECAPP: Crafting a More Efficient Catalyst for Convex Optimization 0 Aaron Sidford, Arun Jambulapati, Yair Carmon, Yujia Jin 117 Estimating and Penalizing Induced Preference Shifts in Recommender Systems 0 Anca D. Dragan, Dylan HadfieldMenell, Micah D. Carroll, Stuart Russell 118 YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone 0 Arnaldo Cândido Júnior, Christopher Dane Shulby, Edresson Casanova, Eren Gölge, Julian Weber, Moacir A. Ponti 119 The Infinite Contextual Graph Markov Model 0 Alessio Micheli, Daniele Castellana, Davide Bacciu, Federico Errica 120 Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data 0 Anirban Das, Shiqiang Wang, Stacy Patterson, Timothy J. Castiglia 121 Online Learning with Knapsacks: the Best of Both Worlds 0 Andrea Celli, Christian Kroer, Matteo Castiglioni 122 Stabilizing Off-Policy Deep Reinforcement Learning from Pixels 0 Edoardo Cetin, Oya Çeliktutan, Philip J. Ball, Stephen J. Roberts 123 Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization 0 Gary Cheng, John C. Duchi, Karan N. Chadha 124 Robust Imitation Learning against Variations in Environment Dynamics 0 Jongseong Chae, Myungsik Cho, Seungyul Han, Sungho Choi, Whiyoung Jung, Youngchul Sung 125 Fairness with Adaptive Weights 0 Junyi Chai, Xiaoqian Wang 126 UNIREX: A Unified Learning Framework for Language Model Rationale Extraction 0 Aaron Chan, Hamed Firooz, Lambert Mathias, Liang Tan, Maziar Sanjabi, Shaoliang Nie, Xiang Ren, Xiaochang Peng 127 Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? 0 Keshigeyan Chandrasegaran, NgaiMan Cheung, NgocTrung Tran, Yunqing Zhao 128 Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models 0 Ashish Shrivastava, Hema Koppula, JenHao Rick Chang, Oncel Tuzel, Xiaoshuai Zhang 129 Learning Bellman Complete Representations for Offline Policy Evaluation 0 Jonathan D. Chang, Kaiwen Wang, Nathan Kallus, Wen Sun 130 Sample Efficient Learning of Predictors that Complement Humans 0 David A. Sontag, Hussein Mozannar, MohammadAmin Charusaie, Samira Samadi 131 Nyström Kernel Mean Embeddings 0 Alessandro Rudi, Antoine Chatalic, Lorenzo Rosasco, Nicolas Schreuder 132 Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets 0 Tianlong Chen, Xiaolong Ma, Xuxi Chen, Yanzhi Wang, Zhangyang Wang 133 Learning Domain Adaptive Object Detection with Probabilistic Teacher 0 Di Xie, Donglian Qi, Jie Song, Lei Zhang, Meilin Chen, Shicai Yang, Shiliang Pu, Weijie Chen, Xinchao Wang, Yueting Zhuang, Yunfeng Yan 134 The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning 0 Ananda Theertha Suresh, Christopher A. ChoquetteChoo, Peter Kairouz, WeiNing Chen 135 Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning 0 Avanika Narayan, Christopher Ré, Daniel Y. Fu, Kayvon Fatahalian, Mayee F. Chen, Michael Zhang, Zhao Song 136 Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk 0 Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama 137 On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs 0 Jiafan He, Quanquan Gu, Yuanzhou Chen 138 Streaming Algorithms for Support-Aware Histograms 0 Justin Y. Chen, Piotr Indyk, Tal Wagner 139 Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP 0 Haipeng Luo, Liyu Chen, Rahul Jain 140 Learning Infinite-horizon Average-reward Markov Decision Process with Constraints 0 Haipeng Luo, Liyu Chen, Rahul Jain 141 Active Multi-Task Representation Learning 0 Kevin G. Jamieson, Simon S. Du, Yifang Chen 142 On Collective Robustness of Bagging Against Data Poisoning 0 Chentao Wu, Jie Li, Junchi Yan, Ruoxin Chen, Zenan Li 143 Online Active Regression 0 Cheng Chen, Yi Li, Yiming Sun 144 Selling Data To a Machine Learner: Pricing via Costly Signaling 0 Haifeng Xu, Junjie Chen, Minming Li 145 ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases 0 Danny Z. Chen, Haochao Ying, Jian Wu, Jintai Chen, Kuanlun Liao, Kun Wei 146 Weisfeiler-Lehman Meets Gromov-Wasserstein 0 Facundo Mémoli, Samantha Chen, Sunhyuk Lim, Yusu Wang, Zhengchao Wan 147 On Non-local Convergence Analysis of Deep Linear Networks 0 Dachao Lin, Kun Chen, Zhihua Zhang 148 Flow-based Recurrent Belief State Learning for POMDPs 0 Jianyu Chen, Ping Luo, Shengbo Li, Xiaoyu Chen, Yao Mark Mu 149 Structure-Aware Transformer for Graph Representation Learning 0 Dexiong Chen, Karsten M. Borgwardt, Leslie O'Bray 150 The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation 0 Ayfer Özgür, Peter Kairouz, WeiNing Chen 151 Learning Mixtures of Linear Dynamical Systems 0 H. Vincent Poor, Yanxi Chen 152 On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation 0 Xiaohong Chen, Zhengling Qi 153 Faster Fundamental Graph Algorithms via Learned Predictions 0 Ali Vakilian, Fred Zhang, Justin Y. Chen, Sandeep Silwal 154 Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters 0 Na Li, Xin Chen, Yujie Tang 155 Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection 0 Bo Chen, Liang Dai, Long Tian, Mingyuan Zhou, Wenchao Chen, Zhibin Duan 156 Auxiliary Learning with Joint Task and Data Scheduling 0 Chaoyu Guan, Hong Chen, Wenwu Zhu, Xin Wang, Yue Liu 157 Optimization-Induced Graph Implicit Nonlinear Diffusion 0 Jiansheng Yang, Qi Chen, Yifei Wang, Yisen Wang, Zhouchen Lin 158 Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile 0 Bo Long, Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Yueting Zhuang 159 Adaptive Model Design for Markov Decision Process 0 Donglin Yang, Jiayang Li, Senmiao Wang, Siyu Chen, Zhaoran Wang, Zhuoran Yang 160 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks 0 Tiejun Huang, Wei Fang, Yanqi Chen, Yonghong Tian, Zhaofei Yu, Zhengyu Ma 161 Efficient Online ML API Selection for Multi-Label Classification Tasks 0 James Zou, Lingjiao Chen, Matei Zaharia 162 Data-Efficient Double-Win Lottery Tickets from Robust Pre-training 0 Shiyu Chang, Sijia Liu, Tianlong Chen, Yang Zhang, Zhangyang Wang, Zhenyu Zhang 163 Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness 0 Huan Zhang, PinYu Chen, Shiyu Chang, Sijia Liu, Tianlong Chen, Zhangyang Wang, Zhenyu Zhang 164 Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation 0 Han Zhong, Liwei Wang, Xiaoyu Chen, Zhaoran Wang, Zhuoran Yang 165 Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis 0 RongRong Chen, Shaofeng Zou, Yi Zhou, Ziyi Chen 166 Task-aware Privacy Preservation for Multi-dimensional Data 0 Ao Tang, Jiangnan Cheng, Sandeep Chinchali 167 Adversarially Trained Actor Critic for Offline Reinforcement Learning 0 Alekh Agarwal, ChingAn Cheng, Nan Jiang, Tengyang Xie 168 Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra 0 David P. Woodruff, Honghao Lin, Kenneth L. Clarkson, Lior Horesh, Nadiia Chepurko 169 RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests 0 Vasilis Syrgkanis, Victor Chernozhukov, Victor QuintasMartinez, Whitney Newey 170 Self-supervised learning with random-projection quantizer for speech recognition 0 ChungCheng Chiu, James Qin, Jiahui Yu, Yonghui Wu, Yu Zhang 171 Discrete Probabilistic Inverse Optimal Transport 0 Patrick Shafto, Pei Wang, WeiTing Chiu 172 Selective Network Linearization for Efficient Private Inference 0 Ameya Joshi, Brandon Reagen, Chinmay Hegde, Minsu Cho, Siddharth Garg 173 From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers 0 Adrian Weller, Arijit Sehanobish, Han Lin, Haoxian Chen, Jack ParkerHolder, Krzysztof Choromanski, Tamás Sarlós, Thomas Weingarten, Tianyi Zhang, Valerii Likhosherstov 174 Shuffle Private Linear Contextual Bandits 0 Sayak Ray Chowdhury, Xingyu Zhou 175 DNA: Domain Generalization with Diversified Neural Averaging 0 Hong Mei, Shanghang Zhang, Wenwu Zhu, Xin Wang, Xu Chu, Yasha Wang, Yujie Jin 176 TPC: Transformation-Specific Smoothing for Point Cloud Models 0 Bo Li, Linyi Li, Wenda Chu 177 Unified Scaling Laws for Routed Language Models 0 Aidan Clark, Albin Cassirer, Arthur Mensch, Aurelia Guy, Blake A. Hechtman, Bogdan Damoc, Chris Jones, David Budden, Diego de Las Casas, Elena Buchatskaya, Eliza Rutherford, Erich Elsen, George van den Driessche, Jack W. Rae, Jordan Hoffmann, Karen Simonyan, Koray Kavukcuoglu, Laurent Sifre, Marc'Aurelio Ranzato, Matthew J. Johnson, Michela Paganini, Oriol Vinyals, Sebastian Borgeaud, Simon Osindero, Tom Hennigan, Trevor Cai 178 Context-Aware Drift Detection 0 Arnaud Van Looveren, Oliver Cobb 179 On the Robustness of CountSketch to Adaptive Inputs 0 Edith Cohen, Jelani Nelson, Moshe Shechner, Tamás Sarlós, Uri Stemmer, Xin Lyu 180 Diffusion bridges vector quantized variational autoencoders 0 Charles Ollion, Eric Moulines, Guillaume Quispe, Max Cohen, Sylvain Le Corff 181 Online and Consistent Correlation Clustering 0 Andreas Maggiori, Nikos Parotsidis, Silvio Lattanzi, Vincent CohenAddad 182 Massively Parallel k-Means Clustering for Perturbation Resilient Instances 0 Peilin Zhong, Vahab S. Mirrokni, Vincent CohenAddad 183 One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams 0 Anshumali Shrivastava, Benito Geordie, Benjamin Coleman, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen 184 Transfer and Marginalize: Explaining Away Label Noise with Privileged Information 0 Effrosyni Kokiopoulou, Jesse Berent, Mark Collier, Rodolphe Jenatton 185 MAML and ANIL Provably Learn Representations 0 Aryan Mokhtari, Liam Collins, Sanjay Shakkottai, Sewoong Oh 186 Entropic Causal Inference: Graph Identifiability 0 Dmitriy A. Katz, Kristjan H. Greenewald, Murat Kocaoglu, Spencer Compton 187 Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model 0 JeanRémy Conti, Nathan Noiry, Stéphan Clémençon, Stéphane Gentric, Vincent Despiegel 188 Counterfactual Transportability: A Formal Approach 0 Elias Bareinboim, Juan D. Correa, Sanghack Lee 189 Label-Free Explainability for Unsupervised Models 0 Jonathan Crabbé, Mihaela van der Schaar 190 Evaluating the Adversarial Robustness of Adaptive Test-time Defenses 0 A. Taylan Cemgil, Evan Shelhamer, Francesco Croce, Matthias Hein, Sven Gowal, Thomas Brunner 191 Adversarial Robustness against Multiple and Single lp-Threat Models via Quick Fine-Tuning of Robust Classifiers 0 Francesco Croce, Matthias Hein 192 Self-conditioning Pre-Trained Language Models 0 Luca Zappella, Nicholas Apostoloff, Xavier Suau Cuadros 193 Only tails matter: Average-Case Universality and Robustness in the Convex Regime 0 Courtney Paquette, Damien Scieur, Fabian Pedregosa, Gauthier Gidel, Leonardo Cunha 194 Principal Component Flows 0 Adam D. Cobb, Edmond Cunningham, Susmit Jha 195 Deep symbolic regression for recurrence prediction 0 François Charton, Guillaume Lample, PierreAlexandre Kamienny, Stéphane d'Ascoli 196 Continuous Control with Action Quantization from Demonstrations 0 Anton Raichuk, Damien Vincent, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Robert Dadashi, Sertan Girgin 197 Dialog Inpainting: Turning Documents into Dialogs 0 Aida Amini, Arun Tejasvi Chaganty, Kelvin Guu, Mike Green, Qazi Mamunur Rashid, Vincent Y. Zhao, Zhuyun Dai 198 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training 0 Dacheng Tao, Fengxiang He, Li Shen, Rong Dai, Xinmei Tian 199 Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization 0 Bo Dai, Dale Schuurmans, Hanjun Dai, Mengjiao Yang, Yuan Xue 200 Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning 0 Alberto Maria Metelli, Angelo Damiani, Giorgio Manganini, Marcello Restelli 201 Understanding Robust Generalization in Learning Regular Languages 0 Dan Roth, Osbert Bastani, Soham Dan 202 Unsupervised Image Representation Learning with Deep Latent Particles 0 Aviv Tamar, Tal Daniel 203 Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation 0 Ayush Sekhari, Christoph Dann, Karthik Sridharan, Mehryar Mohri, Yishay Mansour 204 Monarch: Expressive Structured Matrices for Efficient and Accurate Training 0 Alexander Liu, Aniruddh Rao, Arjun D. Desai, Atri Rudra, Beidi Chen, Christopher Ré, Jessica Grogan, Michael Poli, Nimit Sharad Sohoni, Tri Dao 205 Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems 0 Alex Dimakis, Constantinos Daskalakis, Giannis Daras, Yuval Dagan 206 Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing 0 Jiayu Liu, Mohammad Zalbagi Darestani, Reinhard Heckel 207 Knowledge Base Question Answering by Case-based Reasoning over Subgraphs 0 Ameya Godbole, Andrew McCallum, Ankita Naik, Elliot Tower, Hannaneh Hajishirzi, Manzil Zaheer, Rajarshi Das, Robin Jia 208 Framework for Evaluating Faithfulness of Local Explanations 0 Michal Moshkovitz, Nave Frost, Sanjoy Dasgupta 209 Distinguishing rule and exemplar-based generalization in learning systems 0 Erin Grant, Ishita Dasgupta, Tom Griffiths 210 Robust Multi-Objective Bayesian Optimization Under Input Noise 0 Enlu Zhou, Eytan Bakshy, Maximilian Balandat, Michael A. Osborne, Sait Cakmak, Samuel Daulton 211 Attentional Meta-learners for Few-shot Polythetic Classification 0 Ben J. Day, Nikola Simidjievski, Pietro Lió, Ramón Viñas Torné 212 Adversarial Vulnerability of Randomized Ensembles 0 Hassan Dbouk, Naresh R. Shanbhag 213 Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization 0 Eva Silverstein, Giuseppe Bruno De Luca 214 Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass 0 Gabriel Kreiman, Giorgia Dellaferrera 215 DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations 0 Fei Deng, Ingook Jang, Sungjin Ahn 216 NeuralEF: Deconstructing Kernels by Deep Neural Networks 0 Jiaxin Shi, Jun Zhu, Zhijie Deng 217 Deep Causal Metric Learning 0 Xiang Deng, Zhongfei Zhang 218 On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming 0 Agniva Chowdhury, Gregory Dexter, Haim Avron, Petros Drineas 219 Analysis of Stochastic Processes through Replay Buffers 0 Dotan Di Castro, Shie Mannor, Shirli DiCastro Shashua 220 Streaming Algorithms for High-Dimensional Robust Statistics 0 Ankit Pensia, Daniel M. Kane, Ilias Diakonikolas, Thanasis Pittas 221 Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent 0 Christos Tzamos, Ilias Diakonikolas, Nikos Zarifis, Vasilis Kontonis 222 Variational Feature Pyramid Networks 0 Christophoros Nikou, Giorgos Sfikas, Panagiotis Dimitrakopoulos 223 Understanding Doubly Stochastic Clustering 0 Benjamin D. Haeffele, Derek Lim, René Vidal, Tianjiao Ding 224 Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence 0 ChenYu Wei, Dongsheng Ding, Kaiqing Zhang, Mihailo R. Jovanovic 225 Generalization and Robustness Implications in Object-Centric Learning 0 Andrea Dittadi, Bernhard Schölkopf, Francesco Locatello, Michele De Vita, Ole Winther, Samuele S. Papa 226 Fair Generalized Linear Models with a Convex Penalty 0 Axel S. Martin, Hyungrok Do, Judy Zhong, Padhraic Smyth, Preston Putzel 227 Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense 0 Bao Gia Doan, Damith C. Ranasinghe, Ehsan Abbasnejad, Javen Qinfeng Shi 228 On the Adversarial Robustness of Causal Algorithmic Recourse 0 AmirHossein Karimi, Bernhard Schölkopf, Ricardo DominguezOlmedo 229 Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks 0 Kaisheng Ma, Linfeng Zhang, Mengdi Wu, Runpei Dong, Zhanhong Tan 230 PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs 0 Fuhai Li, Muhan Zhang, Yixin Chen, Zehao Dong 231 Privacy for Free: How does Dataset Condensation Help Privacy? 0 Bo Zhao, Lingjuan Lyu, Tian Dong 232 Fast rates for noisy interpolation require rethinking the effect of inductive bias 0 Fanny Yang, Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic 233 Adapting to Mixing Time in Stochastic Optimization with Markovian Data 0 Kfir Yehuda Levy, Ron Dorfman 234 TACTiS: Transformer-Attentional Copulas for Time Series 0 Alexandre Drouin, Nicolas Chapados, Étienne Marcotte 235 Branching Reinforcement Learning 0 Wei Chen, Yihan Du 236 Bayesian Imitation Learning for End-to-End Mobile Manipulation 0 Alex Alemi, Daniel Ho, Eric Jang, Mohi Khansari, Yuqing Du 237 GLaM: Efficient Scaling of Language Models with Mixture-of-Experts 0 Adams Wei Yu, Andrew M. Dai, Barret Zoph, Claire Cui, Dmitry Lepikhin, Kathleen S. MeierHellstern, Kellie Webster, Kevin Robinson, Kun Zhang, Liam Fedus, Lucas Dixon, Maarten P. Bosma, Marie Pellat, Maxim Krikun, Nan Du, Orhan Firat, Quoc V. Le, Simon Tong, Tao Wang, Toju Duke, Yanping Huang, Yanqi Zhou, Yonghui Wu, Yu Emma Wang, Yuanzhong Xu, Zhifeng Chen, Zongwei Zhou 238 Learning Iterative Reasoning through Energy Minimization 0 Igor Mordatch, Joshua B. Tenenbaum, Shuang Li, Yilun Du 239 SE(3) Equivariant Graph Neural Networks with Complete Local Frames 0 Bin Shao, He Zhang, Nanning Zheng, Qi Meng, TieYan Liu, Wei Chen, Weitao Du, Yuanqi Du 240 A Context-Integrated Transformer-Based Neural Network for Auction Design 0 Jingwu Tang, Manzil Zaheer, Xiang Yan, Xiaotie Deng, Yutong Yin, Zhe Feng, Zhijian Duan 241 Augment with Care: Contrastive Learning for Combinatorial Problems 0 Chris J. Maddison, Haonan Duan, Max B. Paulus, Pashootan Vaezipoor, Yangjun Ruan 242 Parametric Visual Program Induction with Function Modularization 0 Wenwu Zhu, Xin Wang, Xuguang Duan, Ziwei Zhang 243 Bayesian Deep Embedding Topic Meta-Learner 0 Bo Chen, Chaojie Wang, Jianqiao Sun, Mingyuan Zhou, Wenchao Chen, Yishi Xu, Zhibin Duan 244 Deletion Robust Submodular Maximization over Matroids 0 Ashkan NorouziFard, Federico Fusco, Morteza Zadimoghaddam, Paul Duetting, Silvio Lattanzi 245 From data to functa: Your data point is a function and you can treat it like one 0 Dan Rosenbaum, Danilo Jimenez Rezende, Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami 246 Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models 0 George Katsirelos, Thomas Schiex, Valentin Durante 247 Robust Counterfactual Explanations for Tree-Based Ensembles 0 Cecilia Tilli, Daniele Magazzeni, Jason Long, Sanghamitra Dutta, Saumitra Mishra 248 On the Difficulty of Defending Self-Supervised Learning against Model Extraction 0 Adam Dziedzic, Jonas Guan, Muhammad Ahmad Kaleem, Nicolas Papernot, Nikita Dhawan 249 LIMO: Latent Inceptionism for Targeted Molecule Generation 0 Bo Zhao, Kunyang Sun, Michael K. Gilson, Mudong Feng, Peter Eckmann, Rose Yu 250 Inductive Biases and Variable Creation in Self-Attention Mechanisms 0 Benjamin L. Edelman, Cyril Zhang, Sham M. Kakade, Surbhi Goel 251 Provable Reinforcement Learning with a Short-Term Memory 0 Akshay Krishnamurthy, Chi Jin, Sobhan Miryoosefi, Yonathan Efroni 252 Sparsity in Partially Controllable Linear Systems 0 Akshay Krishnamurthy, Cyril Zhang, Sham M. Kakade, Yonathan Efroni 253 FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning 0 Amrit Singh Bedi, Anis Elgabli, Chaouki Ben Issaid, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal 254 pathGCN: Learning General Graph Spatial Operators from Paths 0 Eldad Haber, Eran Treister, Moshe Eliasof 255 Discrete Tree Flows via Tree-Structured Permutations 0 David I. Inouye, Hyung Zin Lim, Mai Elkady 256 For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria 0 Andrew Critch, Caspar Oesterheld, Scott Emmons, Stuart Russell, Vincent Conitzer 257 Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints 0 Alina Ene, Huy L. Nguyen 258 Towards Scaling Difference Target Propagation by Learning Backprop Targets 0 Abhinav Moudgil, Blake A. Richards, Eugene Belilovsky, Fabrice Normandin, Irina Rish, Maxence Ernoult, Sean Spinney, Yoshua Bengio 259 Understanding Dataset Difficulty with V-Usable Information 0 Kawin Ethayarajh, Swabha Swayamdipta, Yejin Choi 260 Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning 0 Hugo Larochelle, Michael C. Mozer, Utku Evci, Vincent Dumoulin 261 Variational Sparse Coding with Learned Thresholding 0 Christopher J. Rozell, Kion Fallah 262 Training Discrete Deep Generative Models via Gapped Straight-Through Estimator 0 Alexander I. Rudnicky, Peter J. Ramadge, TaChung Chi, TingHan Fan 263 DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck 0 Jiameng Fan, Wenchao Li 264 Generalized Data Distribution Iteration 0 Changnan Xiao, Jiajun Fan 265 Variational Wasserstein gradient flow 0 Amirhossein Taghvaei, Jiaojiao Fan, Qinsheng Zhang, Yongxin Chen 266 Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) 0 Achal Dave, Alex Fang, Gabriel Ilharco, Ludwig Schmidt, Mitchell Wortsman, Vaishaal Shankar, Yuhao Wan 267 Bayesian Continuous-Time Tucker Decomposition 0 Akil Narayan, Robert M. Kirby, Shandian Zhe, Shikai Fang 268 Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums 0 John Stephan, Nirupam Gupta, Rachid Guerraoui, Rafael Pinot, Sadegh Farhadkhani 269 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks 0 Lê Nguyên Hoang, Oscar Villemaud, Rachid Guerraoui, Sadegh Farhadkhani 270 Investigating Generalization by Controlling Normalized Margin 0 Alexander R. Farhang, Jeremy D. Bernstein, Kushal Tirumala, Yang Liu, Yisong Yue 271 Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games 0 Christian Kroer, ChungWei Lee, Gabriele Farina, Haipeng Luo 272 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis 0 Hamza Fawzi, Oisin Faust 273 Matching Structure for Dual Learning 0 Hao Fei, Meishan Zhang, Shengqiong Wu, Yafeng Ren 274 Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning 0 Ruitu Xu, Yingjie Fei 275 Private frequency estimation via projective geometry 0 Huy L. Nguyen, Jelani Nelson, Kunal Talwar, Vitaly Feldman 276 An Intriguing Property of Geophysics Inversion 0 Peng Jin, Shihang Feng, Yinan Feng, Yinpeng Chen, Youzuo Lin, Zicheng Liu 277 Principled Knowledge Extrapolation with GANs 0 Deli Zhao, Jie Xiao, Jingren Zhou, Kecheng Zheng, Qibin Sun, Ruili Feng, ZhengJun Zha 278 A Resilient Distributed Boosting Algorithm 0 Idan Mehalel, Shay Moran, Yuval Filmus 279 Model-Value Inconsistency as a Signal for Epistemic Uncertainty 0 Abram L. Friesen, André Barreto, Angelos Filos, Diana Borsa, Eszter Vértes, Feryal M. P. Behbahani, Gregory Farquhar, Simon Osindero, Tom Schaul, Zita Marinho 280 Coordinated Double Machine Learning 0 Matteo Sesia, Nitai Fingerhut, Yaniv Romano 281 Conformal Prediction Sets with Limited False Positives 0 Adam Fisch, Regina Barzilay, Tal Schuster, Tommi S. Jaakkola 282 Fast Population-Based Reinforcement Learning on a Single Machine 0 Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot 283 Fast Relative Entropy Coding with A* coding 0 Gergely Flamich, José Miguel HernándezLobato, Stratis Markou 284 Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness 0 Aaron Sim, Adam Foster, Craig A. Glastonbury, Páidí Creed, Samer Abujudeh, Árpi Vezér 285 Label Ranking through Nonparametric Regression 0 Alkis Kalavasis, Dimitris Fotakis, Eleni Psaroudaki 286 A Neural Tangent Kernel Perspective of GANs 0 Emmanuel de Bézenac, Ibrahim Ayed, JeanYves Franceschi, Mickaël Chen, Patrick Gallinari, Sylvain Lamprier 287 Extracting Latent State Representations with Linear Dynamics from Rich Observations 0 Abraham Frandsen, Holden Lee, Rong Ge 288 SPDY: Accurate Pruning with Speedup Guarantees 0 Dan Alistarh, Elias Frantar 289 Revisiting the Effects of Stochasticity for Hamiltonian Samplers 0 Dimitrios Milios, Giulio Franzese, Maurizio Filippone, Pietro Michiardi 290 Bregman Neural Networks 0 Gilles Gasso, Jordan Frécon, Massimiliano Pontil, Saverio Salzo 291 (Non-)Convergence Results for Predictive Coding Networks 0 Simon Frieder, Thomas Lukasiewicz 292 Scaling Structured Inference with Randomization 0 John P. Cunningham, Mirella Lapata, Yao Fu 293 Greedy when Sure and Conservative when Uncertain about the Opponents 0 Haobo Fu, Hongxiang Yu, Jiechao Xiong, Junliang Xing, Kai Li, Qiang Fu, Shuang Wu, Wei Yang, Weiming Liu, Ye Tian, Ying Wen 294 DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks 0 Cheng Wan, Haichuan Yang, Jiayi Yuan, Meng Li, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin, Yonggan Fu 295 Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning 0 Chao Yu, Jiaqi Yang, Wei Fu, Yi Wu, Zelai Xu 296 p-Laplacian Based Graph Neural Networks 0 Guoji Fu, Peilin Zhao, Yatao Bian 297 Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error 0 David Meger, Doina Precup, Ofir Nachum, Scott Fujimoto, Shixiang Shane Gu 298 Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data 0 Bristena Oprisanu, Emiliano De Cristofaro, Georgi Ganev 299 The Complexity of k-Means Clustering when Little is Known 0 Karolina Okrasa, Kirill Simonov, Robert Ganian, Thekla Hamm, Viktoriia Korchemna 300 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data 0 Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Tian Gao, Yue Yu 301 Loss Function Learning for Domain Generalization by Implicit Gradient 0 Boyan Gao, Henry Gouk, Timothy M. Hospedales, Yongxin Yang 302 On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum 0 Heng Huang, Hongchang Gao, Junyi Li 303 Deep Reference Priors: What is the best way to pretrain a model? 0 Pratik Chaudhari, Rahul Ramesh, Yansong Gao 304 On the Equivalence Between Temporal and Static Equivariant Graph Representations 0 Bruno Ribeiro, Jianfei Gao 305 Generalizing Gaussian Smoothing for Random Search 0 Katelyn Gao, Ozan Sener 306 Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems 0 Ilia Shumailov, Kassem Fawaz, Yue Gao 307 Lazy Estimation of Variable Importance for Large Neural Networks 0 Abby Stevens, Garvesh Raskutti, Rebecca Willett, Yue Gao 308 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack 0 Binghui Xie, Bo Han, Feng Liu, Gang Niu, James Cheng, Jiongxiao Wang, Kaiwen Zhou, Ruize Gao 309 Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems 0 Haian Yin, Jane J. Ye, Jin Zhang, Lucy L. Gao, Shangzhi Zeng 310 Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization 0 Xiang Gao, Yingjie Tian, Yuqi Zhang 311 Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification 0 Alexis Joly, Camille Garcin, Joseph Salmon, Maximilien Servajean 312 PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation 0 Andrea Martinelli, Andrea Zanelli, John Lygeros, Matilde Gargiani, Tyler H. Summers 313 The power of first-order smooth optimization for black-box non-smooth problems 0 Aleksandr Beznosikov, Alexander V. Gasnikov, Anton Novitskii, Bin Gu, Dmitry Kamzolov, Farshed Abdukhakimov, Martin Takác, Pavel E. Dvurechensky, Vasilii Novitskii 314 A Functional Information Perspective on Model Interpretation 0 Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan 315 UniRank: Unimodal Bandit Algorithms for Online Ranking 0 CamilleSovanneary Gauthier, Romaric Gaudel, Élisa Fromont 316 Variational Inference with Locally Enhanced Bounds for Hierarchical Models 0 Justin Domke, Tomas Geffner 317 Inducing Causal Structure for Interpretable Neural Networks 0 Atticus Geiger, Christopher Potts, Elisa Kreiss, Hanson Lu, Josh Rozner, Noah D. Goodman, Thomas Icard, Zhengxuan Wu 318 Achieving Minimax Rates in Pool-Based Batch Active Learning 0 Claudio Gentile, Tong Zhang, Zhilei Wang 319 Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning 0 Ingo Gühring, Jan MacDonald, Martin Genzel, Maximilian März 320 Online Learning for Min Sum Set Cover and Pandora's Box 0 Christos Tzamos, Evangelia Gergatsouli 321 Equivariance versus Augmentation for Spherical Images 0 Christoffer Petersson, Daniel Persson, Fredrik Ohlsson, Hampus Linander, Jan E. Gerken, Oscar Carlsson 322 A Regret Minimization Approach to Multi-Agent Control 0 Elad Hazan, Naomi Ehrich Leonard, Udari Madhushani, Udaya Ghai 323 Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning 0 Byron David, Daniel Freeman, Igor Mordatch, Satoshi Kataoka, Seyed Kamyar Seyed Ghasemipour, Shixiang Shane Gu 324 Faster Privacy Accounting via Evolving Discretization 0 Badih Ghazi, Pasin Manurangsi, Pritish Kamath, Ravi Kumar 325 Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations 0 Amin Ghiasi, Chen Zhu, Hamid Kazemi, Micah Goldblum, Steven Reich, Tom Goldstein 326 Offline RL Policies Should Be Trained to be Adaptive 0 Anurag Ajay, Dibya Ghosh, Pulkit Agrawal, Sergey Levine 327 Breaking the T \sqrt{T} T 0 Abishek Sankararaman, Avishek Ghosh 328 SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation 0 Giorgio Giannone, Ole Winther 329 A Joint Exponential Mechanism For Differentially Private Top-k 0 Andres Muñoz Medina, Jennifer Gillenwater, Matthew Joseph, Mónica Ribero Diaz 330 Neuro-Symbolic Hierarchical Rule Induction 0 Claire Glanois, Dong Li, Jianye Hao, Matthieu Zimmer, Paul Weng, Wulong Liu, Xuening Feng, Zhaohui Jiang 331 It's Raw! Audio Generation with State-Space Models 0 Albert Gu, Chris Donahue, Christopher Ré, Karan Goel 332 RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression 0 Frederick Tung, Greg Mori, Yu Gong 333 How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity 0 Chengyue Gong, Lemeng Wu, Qiang Liu 334 Partial Label Learning via Label Influence Function 0 Dong Yuan, Wei Bao, Xiuwen Gong 335 Secure Distributed Training at Scale 0 Alexander Borzunov, Eduard Gorbunov, Max Ryabinin, Michael Diskin 336 Retrieval-Augmented Reinforcement Learning 0 Abram L. Friesen, Adrià Puigdomènech Badia, Andrea Banino, Anirudh Goyal, Arthur Guez, Charles Blundell, Ksenia Konyushkova, Mehdi Mirza, Michal Valko, Nan Rosemary Ke, Nicolas Heess, Peter Conway Humphreys, Simon Osindero, Theophane Weber, Timothy P. Lillicrap 337 The State of Sparse Training in Deep Reinforcement Learning 0 Erich Elsen, Laura Graesser, Pablo Samuel Castro, Utku Evci 338 Causal Inference Through the Structural Causal Marginal Problem 0 Bernhard Schölkopf, Dominik Janzing, Elke Kirschbaum, Jonas M. Kübler, Julius von Kügelgen, Luigi Gresele 339 Mirror Learning: A Unifying Framework of Policy Optimisation 0 Christian A. Schröder de Witt, Jakob N. Foerster, Jakub Grudzien Kuba 340 Adapting k-means Algorithms for Outliers 0 Christoph Grunau, Václav Rozhon 341 Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics 0 David T. Blaauw, Joshua D. Welch, Yichen Gu 342 Learning Pseudometric-based Action Representations for Offline Reinforcement Learning 0 Bo An, Chen Chen, Dong Li, Jianye Hao, Mengchen Zhao, Pengjie Gu 343 NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields 0 Huayu Deng, Shanyan Guan, Xiaokang Yang, Yunbo Wang 344 Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning 0 Jiechao Guan, Zhiwu Lu 345 Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity 0 Lin Guan, Sarath Sreedharan, Subbarao Kambhampati 346 Large-Scale Graph Neural Architecture Search 0 Chaoyu Guan, Hong Chen, Wenwu Zhu, Xin Wang, Ziwei Zhang 347 Identifiability Conditions for Domain Adaptation 0 Ishaan Gulrajani, Tatsunori Hashimoto 348 A Parametric Class of Approximate Gradient Updates for Policy Optimization 0 Dale Schuurmans, Junfeng Wen, Ramki Gummadi, Saurabh Kumar 349 Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes 0 Hongyi Guo, Qi Cai, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang 350 No-Regret Learning in Partially-Informed Auctions 0 Ellen Vitercik, Michael I. Jordan, Wenshuo Guo 351 Bounding Training Data Reconstruction in Private (Deep) Learning 0 Brian Karrer, Chuan Guo, Kamalika Chaudhuri, Laurens van der Maaten 352 Adversarially trained neural representations are already as robust as biological neural representations 0 Aleksander Madry, Chong Guo, Guillaume Leclerc, James J. DiCarlo, Joel Dapello, Michael J. Lee, Yug Rao 353 Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding 0 LanZhe Guo, Yufeng Li 354 Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage 0 Alan J. X. Guo, Cong Liang, QingHu Hou 355 Online Continual Learning through Mutual Information Maximization 0 Bing Liu, Dongyan Zhao, Yiduo Guo 356 Fast Provably Robust Decision Trees and Boosting 0 JunQi Guo, MingZhuo Teng, Wei Gao, ZhiHua Zhou 357 Understanding and Improving Knowledge Graph Embedding for Entity Alignment 0 Huajun Chen, Lingbing Guo, Mingyang Chen, Qiang Zhang, Wei Hu, Zequn Sun 358 NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks 0 Constantine Dovrolis, Mustafa Burak Gurbuz 359 Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets 0 Avihu Dekel, Daphna Weinshall, Guy Hacohen 360 You Only Cut Once: Boosting Data Augmentation with a Single Cut 0 Hongdong Li, Ian D. Reid, Jie Hong, Junlin Han, Lars Petersson, Mohammad Ali Armin, Pengfei Fang, Weihao Li 361 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes 0 Amin Karbasi, Elvis Dohmatob, Insu Han, Mike Gartrell 362 G-Mixup: Graph Data Augmentation for Graph Classification 0 Ninghao Liu, Xia Hu, Xiaotian Han, Zhimeng Jiang 363 Private Streaming SCO in ℓp geometry with Applications in High Dimensional Online Decision Making 0 Jiheng Zhang, Yang Wang, Yuan Yao, Yuxuan Han, Zhicong Liang, Zhipeng Liang 364 Off-Policy Reinforcement Learning with Delayed Rewards 0 Beining Han, Jian Peng, Yuan Zhou, Zhizhou Ren, Zuofan Wu 365 Adversarial Attacks on Gaussian Process Bandits 0 Eric Han, Jonathan Scarlett 366 Random Gegenbauer Features for Scalable Kernel Methods 0 Amir Zandieh, Haim Avron, Insu Han 367 Stochastic Reweighted Gradient Descent 0 Ayoub El Hanchi, Chris J. Maddison, David A. Stephens 368 Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification 0 JunYi Hang, MinLing Zhang 369 Temporal Difference Learning for Model Predictive Control 0 Hao Su, Nicklas Hansen, Xiaolong Wang 370 Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning 0 Amy Zhang, Ashvin Nair, Patrick Yin, Philippe HansenEstruch, Sergey Levine 371 TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm 0 Alon Orlitsky, Ayush Jain, Vaishakh Ravindrakumar, Yi Hao 372 Contextual Information-Directed Sampling 0 Botao Hao, Chao Qin, Tor Lattimore 373 GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing 0 Chengyang Ying, Hang Su, Jian Song, Jun Zhu, Yinpeng Dong, Zhongkai Hao 374 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization 0 Hachem Kadri, Kais Hariz, Maher Moakher, Stéphane Ayache, Thierry Artières 375 Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses 0 Dung Daniel T. Ngo, Hoda Heidari, Keegan Harris, Logan Stapleton, Steven Wu 376 C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra 0 Tomoko Matsui, Yuka Hashimoto, Zhao Wang 377 General-purpose, long-context autoregressive modeling with Perceiver AR 0 Andrew Jaegle, Catalina Cangea, Charlie Nash, Curtis Hawthorne, Hannah Sheahan, Ian Simon, JeanBaptiste Alayrac, Jesse H. Engel, João Carreira, Mateusz Malinowski, Matthew M. Botvinick, Neil Zeghidour, Oriol Vinyals, Sander Dieleman, Sebastian Borgeaud 378 On Distribution Shift in Learning-based Bug Detectors 0 Jingxuan He, Luca BeurerKellner, Martin T. Vechev 379 GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks 0 David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu, Quan Gan, Yixuan He 380 Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning 0 Bobby He, Mete Ozay 381 Sparse Double Descent: Where Network Pruning Aggravates Overfitting 0 Quanzhi Zhu, Zeke Xie, Zengchang Qin, Zheng He 382 A Reduction from Linear Contextual Bandit Lower Bounds to Estimation Lower Bounds 0 Jiahao He, Jiheng Zhang, Rachel Q. Zhang 383 HyperPrompt: Prompt-based Task-Conditioning of Transformers 0 Donald Metzler, Ed H. Chi, HengTze Cheng, Huaixiu Steven Zheng, Jai Prakash Gupta, Vamsi Aribandi, YaGuang Li, Yi Tay, Yu Du, Yun He, Zhao Chen, Zhe Zhao 384 Label-Descriptive Patterns and Their Application to Characterizing Classification Errors 0 Dietrich Klakow, Jilles Vreeken, Jonas Fischer, Michael A. Hedderich 385 NOMU: Neural Optimization-based Model Uncertainty 0 Hanna S. Wutte, Jakob Heiss, Jakob Weissteiner, Josef Teichmann, Sven Seuken 386 Scaling Out-of-Distribution Detection for Real-World Settings 0 Andy Zou, Dan Hendrycks, Dawn Song, Jacob Steinhardt, Joseph Kwon, Mantas Mazeika, Mohammadreza Mostajabi, Steven Basart 387 Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers 0 Liam Hodgkinson, Michael W. Mahoney, Rajiv Khanna, Umut Simsekli 388 Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology 0 Hinrich Schütze, Janet B. Pierrehumbert, Valentin Hofmann 389 Neural Laplace: Learning diverse classes of differential equations in the Laplace domain 0 Mihaela van der Schaar, Samuel Holt, Zhaozhi Qian 390 Deep Hierarchy in Bandits 0 Branislav Kveton, Joey Hong, Manzil Zaheer, Mohammad Ghavamzadeh, Sumeet Katariya 391 DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning 0 Robert D. Mullins, Robert Hönig, Yiren Zhao 392 Equivariant Diffusion for Molecule Generation in 3D 0 Clément Vignac, Emiel Hoogeboom, Max Welling, Victor Garcia Satorras 393 Conditional GANs with Auxiliary Discriminative Classifier 0 Huawei Shen, Liang Hou, Qi Cao, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng 394 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems 0 Qianqian Xu, Qingming Huang, Shilong Bao, Wenzheng Hou, Yuan He, Zhiyong Yang 395 Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling 0 Jascha SohlDickstein, Jeffrey Pennington, Jiri Hron, Roman Novak 396 Learning inverse folding from millions of predicted structures 0 Adam Lerer, Alexander Rives, Brian Hie, Chloe Hsu, Jason Liu, Robert Verkuil, Tom Sercu, Zeming Lin 397 Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation 0 Longbo Huang, Pihe Hu, Yu Chen 398 Neuron Dependency Graphs: A Causal Abstraction of Neural Networks 0 Jin Tian, Yaojie Hu 399 Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL 0 Chuanlong Xie, Siyi Hu, Xiaodan Liang, Xiaojun Chang 400 On the Role of Discount Factor in Offline Reinforcement Learning 0 Chongjie Zhang, Hao Hu, Qianchuan Zhao, Yiqin Yang 401 Transformer Quality in Linear Time 0 Hanxiao Liu, Quoc V. Le, Weizhe Hua, Zihang Dai 402 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents 0 Deepak Pathak, Igor Mordatch, Pieter Abbeel, Wenlong Huang 403 Forward Operator Estimation in Generative Models with Kernel Transfer Operators 0 Rudrasis Chakraborty, Vikas Singh, Zhichun Huang 404 Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits 0 Jiatai Huang, Longbo Huang, Yan Dai 405 Frustratingly Easy Transferability Estimation 0 Junzhou Huang, LongKai Huang, Qiang Yang, Ying Wei, Yu Rong 406 Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) 0 Chang Zhou, Hongxia Yang, Junyang Lin, Longbo Huang, Yu Huang 407 Action-Sufficient State Representation Learning for Control with Structural Constraints 0 Bernhard Schölkopf, Biwei Huang, Chaochao Lu, Clark Glymour, José Miguel HernándezLobato, Kun Zhang, Liu Leqi 408 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design 0 Jianzhu Ma, Muhan Zhang, Xingang Peng, Yinan Huang 409 SDQ: Stochastic Differentiable Quantization with Mixed Precision 0 Eric P. Xing, Jeffry Wicaksana, KwangTing Cheng, Shichao Li, Xianghong Hu, Xijie Huang, Zechun Liu, Zhiqiang Shen 410 Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology 0 Changzhi Yan, Jinming Xu, Yan Huang, Ying Sun, Zehan Zhu 411 Efficient Representation Learning via Adaptive Context Pooling 0 Chen Huang, Joshua M. Susskind, Navdeep Jaitly, Walter Talbott 412 On the Learning of Non-Autoregressive Transformers 0 Fei Huang, Hao Zhou, Lei Li, Minlie Huang, Tianhua Tao 413 Going Deeper into Permutation-Sensitive Graph Neural Networks 0 Chaozhuo Li, Huiguang He, Yingheng Wang, Zhongyu Huang 414 Directed Acyclic Transformer for Non-Autoregressive Machine Translation 0 Fei Huang, Hang Li, Hao Zhou, Minlie Huang, Yang Liu 415 Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors 0 Gabriel Peyré, GeertJan Huizing, Laura Cantini 416 Robust Kernel Density Estimation with Median-of-Means principle 0 Batiste Le Bars, Ludovic Minvielle, Pierre Humbert 417 A data-driven approach for learning to control computers 0 Adam Santoro, Alistair Muldal, David Raposo, Gregory Thornton, Josh Abramson, Peter Conway Humphreys, Petko Georgiev, Rachita Chhaparia, Timothy P. Lillicrap, Tobias Pohlen 418 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization 0 Arthur Leclaire, Nicolas Papadakis, Samuel Hurault 419 Inverse Contextual Bandits: Learning How Behavior Evolves over Time 0 Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar 420 Datamodels: Understanding Predictions with Data and Data with Predictions 0 Aleksander Madry, Andrew Ilyas, Guillaume Leclerc, Logan Engstrom, Sung Min Park 421 Parsimonious Learning-Augmented Caching 0 Aditya Petety, Manish Purohit, Ravi Kumar, Sungjin Im 422 Bayesian Optimization for Distributionally Robust Chance-constrained Problem 0 Ichiro Takeuchi, Masayuki Karasuyama, Shion Takeno, Yu Inatsu 423 LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation 0 David Ireland, Giovanni Montana 424 The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention 0 Jürgen Schmidhuber, Kazuki Irie, Róbert Csordás 425 A Modern Self-Referential Weight Matrix That Learns to Modify Itself 0 Imanol Schlag, Jürgen Schmidhuber, Kazuki Irie, Róbert Csordás 426 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness 0 Shinji Ito 427 Modeling Strong and Human-Like Gameplay with KL-Regularized Search 0 Adam Lerer, Anton Bakhtin, Athul Paul Jacob, David J. Wu, Gabriele Farina, Hengyuan Hu, Jacob Andreas, Noam Brown 428 A deep convolutional neural network that is invariant to time rescaling 0 Aakash Sarkar, Brandon G. Jacques, Marc W. Howard, Per B. Sederberg, Zoran Tiganj 429 Input Dependent Sparse Gaussian Processes 0 Bahram Jafrasteh, Carlos VillacampaCalvo, Daniel HernándezLobato 430 Regret Minimization with Performative Feedback 0 Celestine MendlerDünner, Meena Jagadeesan, Tijana Zrnic 431 Biological Sequence Design with GFlowNets 0 Alex HernándezGarcía, Bonaventure F. P. Dossou, Chanakya Ajit Ekbote, Dinghuai Zhang, Emmanuel Bengio, Jarrid RectorBrooks, Jie Fu, Lena Simine, Michael Kilgour, Moksh Jain, Payel Das, Tianyu Zhang, Yoshua Bengio 432 Combining Diverse Feature Priors 0 Aleksander Madry, Dimitris Tsipras, Saachi Jain 433 Training Your Sparse Neural Network Better with Any Mask 0 Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang 434 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests 0 Insup Lee, Osbert Bastani, Sangdon Park, Sooyong Jang 435 Surrogate Likelihoods for Variational Annealed Importance Sampling 0 Du Phan, Martin Jankowiak 436 Planning with Diffusion for Flexible Behavior Synthesis 0 Joshua B. Tenenbaum, Michael Janner, Sergey Levine, Yilun Du 437 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection 0 Alicia Curth, Bogdan Cebere, Daniel Jarrett, Mihaela van der Schaar, Tennison Liu 438 Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization 0 Adrián Javaloy, Isabel Valera, Maryam Meghdadi 439 Towards understanding how momentum improves generalization in deep learning 0 Samy Jelassi, Yuanzhi Li 440 MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer 0 Jeewon Jeon, Whiyoung Jung, Woojun Kim, Youngchul Sung 441 An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming 0 Andrew Butler, Jihwan Jeong, Parth Jaggi, Scott Sanner 442 Agnostic Learnability of Halfspaces via Logistic Loss 0 Kwangjun Ahn, Pranjal Awasthi, Satyen Kale, Stefani Karp, Ziwei Ji 443 Improving Policy Optimization with Generalist-Specialist Learning 0 Hao Su, Shuang Liu, Xuanlin Li, Yiran Wu, Zhan Ling, Zhiwei Jia 444 Translatotron 2: High-quality direct speech-to-speech translation with voice preservation 0 Michelle Tadmor Ramanovich, Roi Pomerantz, Tal Remez, Ye Jia 445 Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards 0 Cong Shi, Huiwen Jia, Siqian Shen 446 The Role of Deconfounding in Meta-learning 0 Fei Wu, Kun Kuang, Luotian Yuan, Xinhai Ye, Ying Wei, Yinjie Jiang, Zhengyu Chen, Zhihua Wang 447 Subspace Learning for Effective Meta-Learning 0 James T. Kwok, Weisen Jiang, Yu Zhang 448 Optimal Algorithms for Stochastic Multi-Level Compositional Optimization 0 Bokun Wang, Lijun Zhang, Tianbao Yang, Wei Jiang, Yibo Wang 449 Antibody-Antigen Docking and Design via Hierarchical Structure Refinement 0 Regina Barzilay, Tommi S. Jaakkola, Wengong Jin 450 Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood 0 Alec Koppel, Aryan Mokhtari, Ketan Rajawat, Qiujiang Jin 451 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces 0 Chi Jin, Qinghua Liu, Tiancheng Yu 452 Domain Adaptation for Time Series Forecasting via Attention Sharing 0 Danielle C. Maddix, Hao Wang, Xiaoyong Jin, Youngsuk Park, Yuyang Wang 453 Accelerated Federated Learning with Decoupled Adaptive Optimization 0 Dejing Dou, Ji Liu, Jiaxiang Ren, Jiayin Jin, Lingjuan Lyu, Yang Zhou 454 Supervised Off-Policy Ranking 0 Houqiang Li, Jian Yuan, Tao Qin, TieYan Liu, Xudong Zhang, Yue Jin, Yue Zhang 455 Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing 0 Jiayin Jin, Lingfei Wu, Yang Zhou, Zeru Zhang 456 Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations 0 Jaehyeong Jo, Seul Lee, Sung Ju Hwang 457 Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits 0 Marc Jourdan, Rémy Degenne 458 Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees 0 Dongyue Li, Haotian Ju, Hongyang R. Zhang 459 Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation 0 Justin Jude, Lee E. Miller, Matthew G. Perich, Matthias H. Hennig 460 On Measuring Causal Contributions via do-interventions 0 Dominik Janzing, Elias Bareinboim, Jin Tian, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Yonghan Jung 461 Efficient Approximate Inference for Stationary Kernel on Frequency Domain 0 Jinkyoo Park, Kyungwoo Song, Yohan Jung 462 Sketching Algorithms and Lower Bounds for Ridge Regression 0 David P. Woodruff, Praneeth Kacham 463 Flashlight: Enabling Innovation in Tools for Machine Learning 0 Ann Lee, Awni Y. Hannun, Benoit Steiner, Edouard Grave, Gabriel Synnaeve, Gilad Avidov, Jacob D. Kahn, Jeff Cai, Paden Tomasello, Qiantong Xu, Ronan Collobert, Tatiana Likhomanenko, Vineel Pratap, Vitaliy Liptchinsky 464 Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training 0 Annika Eichler, Jan Kaiser, Oliver Stein 465 Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning 0 Konstantinos Kalais, Sotirios Chatzis 466 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning 0 Kaiwen Wang, Nathan Kallus, Xiaojie Mao, Zhengyuan Zhou 467 Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data 0 Gautam Kamath, Huanyu Zhang, Xingtu Liu 468 Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning 0 Hidetaka Kamigaito, Katsuhiko Hayashi 469 Matching Learned Causal Effects of Neural Networks with Domain Priors 0 Abbavaram Gowtham Reddy, Amit Sharma, Sai Srinivas Kancheti, Vineeth N. Balasubramanian 470 Deduplicating Training Data Mitigates Privacy Risks in Language Models 0 Colin Raffel, Eric Wallace, Nikhil Kandpal 471 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control 0 Claire J. Tomlin, Jason J. Choi, Katie Kang, Michael Janner, Paula Gradu, Sergey Levine 472 Forget-free Continual Learning with Winning Subnetworks 0 Chang D. Yoo, Haeyong Kang, Jaehong Yoon, Mark HasegawaJohnson, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang 473 Differentially Private Approximate Quantiles 0 Haim Kaplan, Shachar Schnapp, Uri Stemmer 474 Simultaneous Graph Signal Clustering and Graph Learning 0 Abdullah Karaaslanli, Selin Aviyente 475 Composing Partial Differential Equations with Physics-Aware Neural Networks 0 Martin V. Butz, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Timothy Praditia, Wolfgang Nowak 476 Meta-Learning Hypothesis Spaces for Sequential Decision-making 0 Andreas Krause, Jonas Rothfuss, Parnian Kassraie 477 FOCUS: Familiar Objects in Common and Uncommon Settings 0 Priyatham Kattakinda, Soheil Feizi 478 Training OOD Detectors in their Natural Habitats 0 Julia B. Nakhleh, Julian KatzSamuels, Robert D. Nowak, Yixuan Li 479 Robustness Implies Generalization via Data-Dependent Generalization Bounds 0 Jiaoyang Huang, Kenji Kawaguchi, Kyle Luh, Zhun Deng 480 Generating Distributional Adversarial Examples to Evade Statistical Detectors 0 Krishnaram Kenthapadi, Muhammad Bilal Zafar, Nathalie Rauschmayr, Sergül Aydöre, Yigitcan Kaya 481 Secure Quantized Training for Deep Learning 0 Ke Sun, Marcel Keller 482 A Convergent and Dimension-Independent Min-Max Optimization Algorithm 0 Nisheeth K. Vishnoi, Oren Mangoubi, Sushant Sachdeva, Vijay Keswani 483 Neural Network Poisson Models for Behavioural and Neural Spike Train Data 0 Amir Dezfouli, Ehsan Arabzadeh, Forough Habibollahi, Moein Khajehnejad, Peter Dayan, Richard Nock 484 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling 0 Gauri Joshi, Pranay Sharma, Sajad Khodadadian, Siva Theja Maguluri 485 Multi-Level Branched Regularization for Federated Learning 0 Bohyung Han, Geeho Kim, Jinkyu Kim 486 Learning fair representation with a parametric integral probability metric 0 Dongha Kim, Ilsang Ohn, Insung Kong, Kunwoong Kim, Yongdai Kim 487 Dataset Condensation via Efficient Synthetic-Data Parameterization 0 Hwanjun Song, Hyun Oh Song, JangHyun Kim, Jinuk Kim, Joonhyun Jeong, JungWoo Ha, Sangdoo Yun, Seong Joon Oh 488 Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance 0 Heeseung Kim, Sungroh Yoon, Sungwon Kim 489 Variational On-the-Fly Personalization 0 Jangho Kim, Juntae Lee, Nojun Kwak, Simyung Chang 490 Fisher SAM: Information Geometry and Sharpness Aware Minimisation 0 Da Li, Minyoung Kim, Shell Xu Hu, Timothy M. Hospedales 491 ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder 0 ByoungChul Ko, JaeYeal Nam, Sangwon Kim 492 Sanity Simulations for Saliency Methods 0 Ameet Talwalkar, Gregory Plumb, Joon Sik Kim 493 Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation 0 Dongjun Kim, IlChul Moon, Kyungwoo Song, Seungjae Shin, Wanmo Kang 494 Rotting Infinitely Many-Armed Bandits 0 JungHun Kim, Milan Vojnovic, SeYoung Yun 495 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis 0 Insoon Yang, Jungbin Kim 496 Generalizing to New Physical Systems via Context-Informed Dynamics Model 0 Alain Rakotomamonjy, Jérémie Donà, Matthieu Kirchmeyer, Nicolas Baskiotis, Patrick Gallinari, Yuan Yin 497 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals 0 Dani Kiyasseh, David A. Clifton, Tingting Zhu 498 Curriculum Reinforcement Learning via Constrained Optimal Transport 0 Carlo D'Eramo, Haoyi Yang, Jan Peters, Joni Pajarinen, Pascal Klink 499 Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups 0 David M. Knigge, David W. Romero, Erik J. Bekkers 500 Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework 0 ChingYun Ko, Jeet Mohapatra, Lily Weng, Luca Daniel, PinYu Chen, Sijia Liu 501 Transfer Learning In Differential Privacy's Hybrid-Model 0 Or Sheffet, Refael Kohen 502 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems 0 Bastian Alt, Heinz Koeppl, Lukas Köhs 503 Partial disentanglement for domain adaptation 0 Guangyi Chen, Kun Zhang, Lingjing Kong, Petar Stojanov, Shaoan Xie, Victor Akinwande, Weiran Yao, Yujia Zheng 504 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback 0 Fang Kong, Shuai Li, Yichi Zhou 505 Adaptive Data Analysis with Correlated Observations 0 Aryeh Kontorovich, Menachem Sadigurschi, Uri Stemmer 506 Controlling Conditional Language Models without Catastrophic Forgetting 0 Germán Kruszewski, Hady Elsahar, Marc Dymetman, Tomasz Korbak 507 Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity 0 Massimiliano Pontil, Saverio Salzo, Vladimir R. Kostic 508 Certified Adversarial Robustness Under the Bounded Support Set 0 Qinyuan Zheng, Yisen Wang, Yiwen Kou 509 Exact Learning of Preference Structure: Single-peaked Preferences and Beyond 0 Edith Elkind, Sonja Kraiczy 510 Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series 0 Carlo Tombolini, Daniel Durstewitz, Daniel Kramer, Georgia Koppe, Philine Lou Bommer 511 Probabilistic ODE Solutions in Millions of Dimensions 0 Jonathan Schmidt, Nathanael Bosch, Nicholas Krämer, Philipp Hennig 512 Active Nearest Neighbor Regression Through Delaunay Refinement 0 Alexander Kravberg, Anastasiia Varava, Danica Kragic, Florian T. Pokorny, Giovanni Luca Marchetti, Vladislav Polianskii 513 Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions 0 Bernhard Schölkopf, Heiner Kremer, JiaJie Zhu, Krikamol Muandet 514 Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation 0 Shachi Deshpande, Volodymyr Kuleshov 515 ActiveHedge: Hedge meets Active Learning 0 Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama 516 Balancing Discriminability and Transferability for Source-Free Domain Adaptation 0 Akshay R. Kulkarni, Deepesh Mehta, Jogendra Nath Kundu, Shreyas Anand Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan 517 Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters 0 Sergey Kolesnikov, Vladislav Kurenkov 518 Equivariant Priors for compressed sensing with unknown orientation 0 Anna Kuzina, Arash Behboodi, Fabio Valerio Massoli, Kumar Pratik 519 Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms 0 Constantine Caramanis, Jeongyeol Kwon, Shie Mannor, Yonathan Efroni 520 Large Batch Experience Replay 0 Emmanuel Rachelson, Matthieu Geist, Thibault Lahire 521 FedScale: Benchmarking Model and System Performance of Federated Learning at Scale 0 Fan Lai, Harsha V. Madhyastha, Jiachen Liu, Mosharaf Chowdhury, Sanjay Sri Vallabh Singapuram, Xiangfeng Zhu, Yinwei Dai 522 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data 0 Chao Wang, ChenNee Chuah, Henrry Gunawan, SenChing S. Cheung, Zhengfeng Lai 523 Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses 0 Alex Lambert, Dimitri Bouche, Florence d'AlchéBuc, Zoltán Szabó 524 Tell me why! Explanations support learning relational and causal structure 0 Adam Santoro, Allison C. Tam, Andrew K. Lampinen, Chen Yan, Felix Hill, Ishita Dasgupta, James L. McClelland, Jane X. Wang, Neil C. Rabinowitz, Nicholas A. Roy, Stephanie C. Y. Chan 525 Generative Cooperative Networks for Natural Language Generation 0 Antoine Chaffin, Benjamin Piwowarski, Ewa Kijak, Jacopo Staiano, Sylvain Lamprier, Thomas Scialom, Vincent Claveau 526 DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting 0 Hongyu Yang, Pyang Li, Shiyong Lan, Weikang Huang, Wenwu Wang, Yitong Ma 527 Cooperative Online Learning in Stochastic and Adversarial MDPs 0 Aviv Rosenberg, Tal Lancewicki, Yishay Mansour 528 PINs: Progressive Implicit Networks for Multi-Scale Neural Representations 0 Alexander SorkineHornung, Ricardo Silveira Cabral, Zoe Landgraf 529 Co-training Improves Prompt-based Learning for Large Language Models 0 David A. Sontag, Hunter Lang, Monica N. Agrawal, Yoon Kim 530 Goal Misgeneralization in Deep Reinforcement Learning 0 David Krueger, Jack Koch, Jacob Pfau, Lauro Langosco di Langosco, Lee D. Sharkey 531 Marginal Tail-Adaptive Normalizing Flows 0 Asja Fischer, Johannes Lederer, Mike Laszkiewicz 532 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes 0 Han Liu, Tim TszKit Lau 533 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games 0 Ayush Jain, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Paul Muller, Romuald Elie, Sarah Perrin, Sertan Girgin, Theophile Cabannes 534 Implicit Bias of Linear Equivariant Networks 0 Andrew K. Dienes, Bobak Toussi Kiani, Hannah Lawrence, Kristian G. Georgiev 535 Differentially Private Maximal Information Coefficients 0 Aaron Johnson, Emmanuel Adéníran, John Lazarsfeld 536 Entropic Gromov-Wasserstein between Gaussian Distributions 0 Dat Do, Dung Q. Le, Huy Nguyen, Khang Le, Nhat Ho, Tung Pham 537 Neurocoder: General-Purpose Computation Using Stored Neural Programs 0 Hung Le, Svetha Venkatesh 538 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime 0 Bekzhan Kerimkulov, David Siska, JamesMichael Leahy, Lukasz Szpruch 539 A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources 0 Florent Chatelain, Hugo Lebeau, Romain Couillet 540 Neural Tangent Kernel Analysis of Deep Narrow Neural Networks 0 Albert No, Ernest K. Ryu, Jongmin Lee, Joo Young Choi 541 Dataset Condensation with Contrastive Signals 0 Saehyung Lee, Sangdoo Yun, Sanghyuk Chun, Sangwon Jung, Sungroh Yoon 542 Confidence Score for Source-Free Unsupervised Domain Adaptation 0 Dahuin Jung, Jonghyun Lee, Junho Yim, Sungroh Yoon 543 A Statistical Manifold Framework for Point Cloud Data 0 Frank Chongwoo Park, Jinwon Choi, Seungyeon Kim, Yonghyeon Lee 544 Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions 0 Eunsang Lee, JongSeon No, JoonWoo Lee, Junghyun Lee, Woosuk Choi, Yongjune Kim, YoungSik Kim 545 Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert 0 JoongHo Won, Sungdong Lee, Yoonhyung Lee 546 Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation 0 Andrew M. Saxe, Claudia Clopath, Sebastian Goldt, Sebastian Lee, Stefano Sarao Mannelli 547 Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization 0 Deokjae Lee, Hyun Oh Song, Junhyeok Lee, Seungyong Moon 548 Least Squares Estimation using Sketched Data with Heteroskedastic Errors 0 Serena Ng, Sokbae Lee 549 Why the Rich Get Richer? On the Balancedness of Random Partition Models 0 Changwoo J. Lee, Huiyan Sang 550 Model Selection in Batch Policy Optimization 0 Bo Dai, George Tucker, Jonathan Lee, Ofir Nachum 551 Supervised Learning with General Risk Functionals 0 Audrey Huang, Kamyar Azizzadenesheli, Liu Leqi, Zachary C. Lipton 552 Generalized Strategic Classification and the Case of Aligned Incentives 0 Nir Rosenfeld, Sagi Levanon 553 A Simple Unified Framework for High Dimensional Bandit Problems 0 Adarsh Barik, Jean Honorio, Wenjie Li 554 Robust Training of Neural Networks Using Scale Invariant Architectures 0 Manzil Zaheer, Sanjiv Kumar, Sashank J. Reddi, Srinadh Bhojanapalli, Zhiyuan Li 555 Spatial-Channel Token Distillation for Vision MLPs 0 Chang Xu, Minjing Dong, Xinghao Chen, Yanxi Li, Yehui Tang, Yunhe Wang 556 An Analytical Update Rule for General Policy Optimization 0 Haibo He, Hepeng Li, Nicholas Clavette 557 On Convergence of Gradient Descent Ascent: A Tight Local Analysis 0 Ali Jadbabaie, Farzan Farnia, Haochuan Li, Subhro Das 558 On the Finite-Time Performance of the Knowledge Gradient Algorithm 0 Siyang Gao, Yanwen Li 559 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning 0 Huazhe Xu, Jiaqi Yang, Tian Gao, Yi Wu, Yunfei Li 560 G2CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters 0 Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin 561 Decomposing Temporal High-Order Interactions via Latent ODEs 0 Robert M. Kirby, Shandian Zhe, Shibo Li 562 Neural Inverse Transform Sampler 0 Henry Li, Yuval Kluger 563 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information 0 Changbin Li, Feng Chen, Rishabh K. Iyer, Suraj Kothawade 564 Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning 0 Baoxiang Wang, Changjie Fan, Fei Wu, Furui Liu, Jiahui Li, Jun Xiao, Kun Kuang, Long Chen 565 C-MinHash: Improving Minwise Hashing with Circulant Permutation 0 Ping Li, Xiaoyun Li 566 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation 0 Caiming Xiong, Dongxu Li, Junnan Li, Steven C. H. Hoi 567 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε-7/4) Complexity 0 Huan Li, Zhouchen Lin 568 Achieving Fairness at No Utility Cost via Data Reweighing with Influence 0 Hongfu Liu, Peizhao Li 569 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails 0 Shaojie Li, Yong Liu 570 MetAug: Contrastive Learning via Meta Feature Augmentation 0 Bing Su, Changwen Zheng, Hui Xiong, Jiangmeng Li, Wenwen Qiang 571 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration 0 Hongyao Tang, Jianye Hao, Matthew E. Taylor, Pengyi Li, Tianpei Yang, Tong Sang, Wenyuan Tao, Xiaotian Hao, Yan Zheng, Zhen Wang 572 CerDEQ: Certifiable Deep Equilibrium Model 0 Mingjie Li, Yisen Wang, Zhouchen Lin 573 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling 0 Hongkang Li, Jinjun Xiong, Meng Wang, PinYu Chen, Sijia Liu 574 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning 0 An Zhang, Sihang Li, TatSeng Chua, Xiang Wang, Xiangnan He, Yingxin Wu 575 Difference Advantage Estimation for Multi-Agent Policy Gradients 0 Guangming Xie, Yueheng Li, Zongqing Lu 576 Private Adaptive Optimization with Side information 0 Manzil Zaheer, Sashank J. Reddi, Tian Li, Virginia Smith 577 Permutation Search of Tensor Network Structures via Local Sampling 0 Chao Li, Junhua Zeng, Qibin Zhao, Zerui Tao 578 Hessian-Free High-Resolution Nesterov Acceleration For Sampling 0 Hongyuan Zha, Molei Tao, Ruilin Li 579 Double Sampling Randomized Smoothing 0 Bo Li, Jiawei Zhang, Linyi Li, Tao Xie 580 HousE: Knowledge Graph Embedding with Householder Parameterization 0 Chaozhuo Li, Di He, Hao Sun, Jianan Zhao, Qi Zhang, Rui Li, Senzhang Wang, Weiwei Deng, Xing Xie, Yanming Shen, Yiqi Wang, Yuming Liu 581 Learning Multiscale Transformer Models for Sequence Generation 0 Bei Li, Chengbo Jiao, Jingbo Zhu, Tong Xiao, Tong Zheng, Yi Jing 582 Finding Global Homophily in Graph Neural Networks When Meeting Heterophily 0 Caihua Shan, Dongsheng Li, Renyu Zhu, Siqiang Luo, Weining Qian, Xiang Li, Yao Cheng 583 Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows 0 Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney 584 Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling 0 Jing Wu, Yipeng Qin, YuKun Lai, Yuanbang Liang 585 Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks 0 Alexander Ihler, Dailin Hu, Litian Liang, Pieter Abbeel, Roy Fox, Stephen McAleer, Yaosheng Xu 586 TSPipe: Learn from Teacher Faster with Pipelines 0 Dongsu Han, Hwijoon Lim, Jinwoo Shin, Sukmin Yun, Yechan Kim 587 Order Constraints in Optimal Transport 0 Fabian Lim, Laura Wynter, Shiau Hong Lim 588 Flow-Guided Sparse Transformer for Video Deblurring 0 Haoqian Wang, Henghui Ding, Jing Lin, Luc Van Gool, Radu Timofte, Xiaowan Hu, Xueyi Zou, Youliang Yan, Yuanhao Cai, Yulun Zhang 589 Federated Learning with Positive and Unlabeled Data 0 Chao Xu, Hanting Chen, Xiaolin Gui, Xinyang Lin, Yiping Deng, Yixing Xu, Yunhe Wang 590 Decentralized Online Convex Optimization in Networked Systems 0 Adam Wierman, Guannan Qu, Judy Gan, Yash Kanoria, Yiheng Lin 591 Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration 0 Haoqian Wang, Jing Lin, Luc Van Gool, Xiaowan Hu, Xueyi Zou, Youliang Yan, Yuanhao Cai, Yulun Zhang 592 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks 0 Keane Lucas, Lujo Bauer, Mahmood Sharif, Michael K. Reiter, Weiran Lin 593 Learning Augmented Binary Search Trees 0 David P. Woodruff, Honghao Lin, Tian Luo 594 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback 0 Aldo Pacchiano, Michael I. Jordan, Tianyi Lin, Yaodong Yu 595 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments 0 Anqi Zhang, Aurojit Panda, Jinkun Lin, Jinyang Li, Mathias Lécuyer, Siddhartha Sen 596 Interactively Learning Preference Constraints in Linear Bandits 0 Andreas Krause, David Lindner, Katja Hofmann, Sebastian Tschiatschek 597 Delayed Reinforcement Learning by Imitation 0 Davide Maran, Lorenzo Bisi, Marcello Restelli, Pierre Liotet 598 CITRIS: Causal Identifiability from Temporal Intervened Sequences 0 Phillip Lippe, Sara Magliacane, Sindy Löwe, Stratis Gavves, Taco Cohen, Yuki M. Asano 599 StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models 0 Adam Liska, Angeliki Lazaridou, Cyprien de Masson d'Autume, Devang Agrawal, Elena Gribovskaya, Ellen GilsenanMcMahon, Eren Sezener, Manzil Zaheer, Phil Blunsom, Sophia Austin, Susannah Young, Tayfun Terzi, Tim Scholtes, Tomás Kociský 600 Distributionally Robust Q-Learning 0 Jose H. Blanchet, Perry Dong, Qinxun Bai, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou, Zijian Liu 601 Constrained Variational Policy Optimization for Safe Reinforcement Learning 0 Bo Li, Ding Zhao, Vladislav Isenbaev, Wei Liu, Zhepeng Cen, Zhiwei Steven Wu, Zuxin Liu 602 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint 0 Hao Liu, Minshuo Chen, Siawpeng Er, Tong Zhang, Tuo Zhao, Wenjing Liao 603 Boosting Graph Structure Learning with Dummy Nodes 0 Jiayang Cheng, Xin Jiang, Xin Liu, Yangqiu Song 604 Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent 0 Bin Li, Houqiang Li, Huacong Jiang, Weiming Liu 605 Deep Probability Estimation 0 Aakash Kaku, Boyang Yu, Carlos FernandezGranda, Haoxiang Huang, Jonathan NilesWeed, Laure Zanna, Matan Leibovich, Narges Razavian, Sheng Liu, Sreyas Mohan, Weicheng Zhu 606 Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers 0 Alexandre Muzio, Hany Hassan, Rui Liu, Young Jin Kim 607 Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games 0 Luke Marris, Marc Lanctot, Nicolas Heess, Siqi Liu 608 Rethinking Attention-Model Explainability through Faithfulness Violation Test 0 Chenqi Kong, Haoliang Li, Jing Li, Shiqi Wang, Yangyang Guo, Yibing Liu 609 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training 0 Jin Zhang, Risheng Liu, Shangzhi Zeng, Xuan Liu, Yixuan Zhang 610 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning 0 Alan Yuhan Xi, Chang Liu, Chenfei Lou, Junchi Yan, Li Shen, Runzhong Wang 611 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy 0 Miao Lu, Michael I. Jordan, Zhaoran Wang, Zhihan Liu, Zhuoran Yang 612 Generating 3D Molecules for Target Protein Binding 0 Kanji Uchino, Koji Maruhashi, Meng Liu, Shuiwang Ji, Youzhi Luo 613 Communication-efficient Distributed Learning for Large Batch Optimization 0 Barzan Mozafari, Rui Liu 614 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction 0 Alina Ene, Huy L. Nguyen, Ta Duy Nguyen, Zijian Liu 615 REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer 0 Deepak Pathak, Kris Kitani, Xingyu Liu 616 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots 0 Fanhua Shang, Hongying Liu, Weixin An, Yuanyuan Liu, Zhouchen Lin 617 Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits 0 Chi Jin, Qinghua Liu, Yuanhao Wang 618 Local Augmentation for Graph Neural Networks 0 Dinghao Wu, Hanze Dong, Junzhou Huang, Lanqing Li, Peilin Zhao, Rex Ying, Songtao Liu, Tingyang Xu, Yu Rong 619 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language 0 Alexander G. Schwing, IouJen Liu, MarcAlexandre Côté, PierreYves Oudeyer, Xingdi Yuan 620 Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation 0 Yufeng Zhang, Zhaoran Wang, Zhihan Liu, Zhuoran Yang, Zuyue Fu 621 GACT: Activation Compressed Training for Generic Network Architectures 0 Alvin Cheung, Dequan Wang, Jianfei Chen, Jie Tang, Joey Gonzalez, Lianmin Zheng, Michael W. Mahoney, Weize Chen, Xiaoxuan Liu, Xu Han, Yukuo Cen, Zhiyuan Liu 622 Robust Training under Label Noise by Over-parameterization 0 Chong You, Qing Qu, Sheng Liu, Zhihui Zhu 623 Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization 0 Jianye Hao, Jun Wang, Minghuan Liu, Weinan Zhang, Yong Yu, Yuzheng Zhuang, Zhengbang Zhu 624 On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games 0 Frans A. Oliehoek, Robert Tyler Loftin 625 AutoIP: A United Framework to Integrate Physics into Gaussian Processes 0 Aditi S. Krishnapriyan, Da Long, Michael W. Mahoney, Robert M. Kirby, Shandian Zhe, Zheng Wang 626 Bayesian Model Selection, the Marginal Likelihood, and Generalization 0 Andrew Gordon Wilson, Gregory W. Benton, Micah Goldblum, Pavel Izmailov, Sanae Lotfi 627 Feature Learning and Signal Propagation in Deep Neural Networks 0 Chris E. Mingard, Soufiane Hayou, Yizhang Lou 628 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension 0 Bruno Loureiro, Cédric Gerbelot, Florent Krzakala, Gabriele Sicuro, Maria Refinetti 629 A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization 0 Songtao Lu 630 Additive Gaussian Processes Revisited 0 Alexis Boukouvalas, James Hensman, Xiaoyu Lu 631 ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias 0 Guanqi Chen, Jia Pan, Shijie Lin, Yupu Lu 632 Model-Free Opponent Shaping 0 Christian A. Schröder de Witt, Christopher Lu, Jakob N. Foerster, Timon Willi 633 Multi-slots Online Matching with High Entropy 0 Qintong Wu, Wenliang Zhong, Xingyu Lu 634 Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching 0 Cheng Lu, Chongxuan Li, Fan Bao, Jianfei Chen, Jun Zhu, Kaiwen Zheng 635 Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering 0 Akhil Mathur, Chi Ian Tang, Ekdeep Singh Lubana, Fahim Kawsar, Robert P. Dick 636 A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions 0 Daniel Lundström, Meisam Razaviyayn, Tianjian Huang 637 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression 0 Bani K. Mallick, Huiyan Sang, Zhao Tang Luo 638 Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring 0 Tieniu Tan, Yunlong Wang, Zhenan Sun, Zhengquan Luo, Zilei Wang 639 Channel Importance Matters in Few-Shot Image Classification 0 Jing Xu, Xu Luo, Zenglin Xu 640 Learning Dynamics and Generalization in Deep Reinforcement Learning 0 Clare Lyle, Mark Rowland, Marta Kwiatkowska, Will Dabney, Yarin Gal 641 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis 0 Qi Lyu, Xiao Fu 642 Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning 0 Boxiang Lyu, Mladen Kolar, Zhaoran Wang, Zhuoran Yang 643 Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching 0 Andrew Shen, Dinesh Jayaraman, Osbert Bastani, Yecheng Jason Ma 644 Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding 0 Fan Zhou, Hao Zhang, Haotian Ma, Quanshi Zhang, Yinqing Zhang 645 Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings 0 Jan MacDonald, Mathieu Besançon, Sebastian Pokutta 646 A Tighter Analysis of Spectral Clustering, and Beyond 0 He Sun, Peter Macgregor 647 Zero-Shot Reward Specification via Grounded Natural Language 0 Deepak Pathak, Parsa Mahmoudieh, Trevor Darrell 648 Feature selection using e-values 0 Snigdhansu Chatterjee, Subhabrata Majumdar 649 SSL Enables Learning from Sparse Rewards in Image-Goal Navigation 0 Arjun Majumdar, Dhruv Batra, Gaurav S. Sukhatme, Gunnar A. Sigurdsson, Jesse Thomason, Robinson Piramuthu 650 Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations 0 Bodhisattwa Prasad Majumder, Julian J. McAuley, Oana Camburu, Thomas Lukasiewicz 651 Nonparametric Involutive Markov Chain Monte Carlo 0 Carol Mak, Fabian Zaiser, Luke Ong 652 Architecture Agnostic Federated Learning for Neural Networks 0 Disha Makhija, Joydeep Ghosh, Nhat Ho, Xing Han 653 Robustness in Multi-Objective Submodular Optimization: a Quantile Approach 0 Cédric Malherbe, Kevin Scaman 654 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees 0 Osman Asif Malik 655 Unaligned Supervision for Automatic Music Transcription in The Wild 0 Amit H. Bermano, Ben Maman 656 Decision-Focused Learning: Through the Lens of Learning to Rank 0 Jayanta Mandi, Maxime Mulamba Ke Tchomba, Tias Guns, Víctor Bucarey 657 Differentially Private Coordinate Descent for Composite Empirical Risk Minimization 0 Aurélien Bellet, Joseph Salmon, Marc Tommasi, Paul Mangold 658 Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models 0 Nhat Ho, Tudor A. Manole 659 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning 0 Kaiqing Zhang, Lin Yang, Tamer Basar, Weichao Mao 660 On the Effects of Artificial Data Modification 0 Adam PrügelBennett, Antonia Marcu 661 Personalized Federated Learning through Local Memorization 0 Giovanni Neglia, Laetitia Kameni, Othmane Marfoq, Richard Vidal 662 Nested Bandits 0 Houssam Zenati, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier 663 Closed-Form Diffeomorphic Transformations for Time Series Alignment 0 Elisabeth Viles, Igor G. Olaizola, Iñigo Martinez 664 SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators 0 Andreas Loukas, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer 665 Modular Conformal Calibration 0 Charles Marx, Shengjia Zhao, Stefano Ermon, Willie Neiswanger 666 Continual Repeated Annealed Flow Transport Monte Carlo 0 Alexander G. de G. Matthews, Arnaud Doucet, Danilo Jimenez Rezende, Michael Arbel 667 How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation 0 Augustine N. MavorParker, Caswell Barry, Kimberly A. Young, Lewis D. Griffin 668 How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection 0 Bo Li, David A. Forsyth, Mantas Mazeika 669 Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features 0 Haoyue Wang, Rahul Mazumder, Xiang Meng 670 Optimizing Tensor Network Contraction Using Reinforcement Learning 0 Eli A. Meirom, Gal Chechik, Haggai Maron, Shie Mannor 671 Causal Transformer for Estimating Counterfactual Outcomes 0 Dennis Frauen, Stefan Feuerriegel, Valentyn Melnychuk 672 Steerable 3D Spherical Neurons 0 Michael Felsberg, Mårten Wadenbäck, Pavlo Melnyk 673 Transformers are Meta-Reinforcement Learners 0 Luckeciano C. Melo 674 ButterflyFlow: Building Invertible Layers with Butterfly Matrices 0 Chenlin Meng, Kristy Choi, Linqi Zhou, Stefano Ermon, Tri Dao 675 In defense of dual-encoders for neural ranking 0 Aditya Krishna Menon, Ankit Singh Rawat, Sadeep Jayasumana, Sanjiv Kumar, Sashank J. Reddi, Seungyeon Kim 676 Equivariant Quantum Graph Circuits 0 Ismail Ilkan Ceylan, Konstantinos Meichanetzidis, Péter Mernyei 677 Stochastic Rising Bandits 0 Alberto Maria Metelli, Francesco Trovò, Marcello Restelli, Matteo Pirola 678 Minimizing Control for Credit Assignment with Strong Feedback 0 Alexander Meulemans, Benjamin F. Grewe, João Sacramento, Maria R. Cervera, Matilde Tristany Farinha 679 A Dynamical System Perspective for Lipschitz Neural Networks 0 Alexandre Allauzen, Alexandre Araujo, Blaise Delattre, Laurent Meunier 680 Distribution Regression with Sliced Wasserstein Kernels 0 Carlo Ciliberto, Dimitri Meunier, Massimiliano Pontil 681 Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism 0 Mia Liu, Pan Li, Siqi Miao 682 Modeling Structure with Undirected Neural Networks 0 André F. T. Martins, Tsvetomila Mihaylova, Vlad Niculae 683 Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models 0 Beren Millidge, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori, Yuhang Song 684 Learning Stochastic Shortest Path with Linear Function Approximation 0 Jiafan He, Quanquan Gu, Tianhao Wang, Yifei Min 685 Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt 0 Adrien Morisot, Aidan N. Gomez, Andreas Kirsch, Benedikt Höltgen, Jan Markus Brauner, Mrinank Sharma, Muhammed Razzak, Sebastian Farquhar, Sören Mindermann, Winnie Xu, Yarin Gal 686 POEM: Out-of-Distribution Detection with Posterior Sampling 0 Yifei Ming, Ying Fan, Yixuan Li 687 A Simple Reward-free Approach to Constrained Reinforcement Learning 0 Chi Jin, Sobhan Miryoosefi 688 Wide Neural Networks Forget Less Catastrophically 0 Arslan Chaudhry, Dilan Görür, Dong Yin, Huiyi Hu, Mehrdad Farajtabar, Razvan Pascanu, SeyedIman Mirzadeh 689 Proximal and Federated Random Reshuffling 0 Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik 690 ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! 0 Grigory Malinovsky, Konstantin Mishchenko, Peter Richtárik, Sebastian U. Stich 691 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions 0 Aaron Mishkin, Arda Sahiner, Mert Pilanci 692 Memory-Based Model Editing at Scale 0 Antoine Bosselut, Charles Lin, Chelsea Finn, Christopher D. Manning, Eric Mitchell 693 Invariant Ancestry Search 0 Jonas Peters, Nikolaj Thams, Phillip B. Mogensen 694 Differentially Private Community Detection for Stochastic Block Models 0 Anil Vullikanti, Dung Nguyen, Mohamed S. Mohamed, Ravi Tandon 695 A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity 0 Chaosheng Dong, Jia Liu, Michinari Momma 696 EqR: Equivariant Representations for Data-Efficient Reinforcement Learning 0 Arnab Kumar Mondal, Kaleem Siddiqi, Siamak Ravanbakhsh, Vineet Jain 697 Feature and Parameter Selection in Stochastic Linear Bandits 0 Ahmadreza Moradipari, Berkay Turan, Mahnoosh Alizadeh, Mohammad Ghavamzadeh, Yasin AbbasiYadkori 698 Power-Law Escape Rate of SGD 0 Kangqiao Liu, Liu Ziyin, Masahito Ueda, Takashi Mori 699 Rethinking Fano's Inequality in Ensemble Learning 0 Gaku Morio, Hiroaki Ozaki, Nobuo Nukaga, Shota Horiguchi, Terufumi Morishita 700 SpeqNets: Sparsity-aware permutation-equivariant graph networks 0 Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh 701 CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer 0 Jianyu Chen, Mingyu Ding, Ping Luo, Runjian Chen, Shoufa Chen, Yao Mark Mu 702 Generalized Beliefs for Cooperative AI 0 Christian A. Schröder de Witt, Darius Muglich, Jakob N. Foerster, Luisa M. Zintgraf, Shimon Whiteson 703 Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis 0 Alexander Munteanu, David P. Woodruff, Simon Omlor, Zhao Song 704 Constants Matter: The Performance Gains of Active Learning 0 Sanjoy Dasgupta, Stephen O. Mussmann 705 On the Generalization Analysis of Adversarial Learning 0 Marius Kloft, Waleed Mustafa, Yunwen Lei 706 Universal and data-adaptive algorithms for model selection in linear contextual bandits 0 Akshay Krishnamurthy, Vidya K. Muthukumar 707 The Importance of Non-Markovianity in Maximum State Entropy Exploration 0 Marcello Restelli, Mirco Mutti, Riccardo De Santi 708 PAC-Net: A Model Pruning Approach to Inductive Transfer Learning 0 Changwook Jeong, Daesin Kim, In Huh, Jae Myung Choe, Jisu Ryu, KeeEung Kim, Sanghoon Myung, Wonik Jang 709 AutoSNN: Towards Energy-Efficient Spiking Neural Networks 0 Byunggook Na, Dongjin Lee, Hyeokjun Choe, Jisoo Mok, Seongsik Park, Sungroh Yoon 710 Implicit Bias of the Step Size in Linear Diagonal Neural Networks 0 Daniel Soudry, Kavya Ravichandran, Mor Shpigel Nacson, Nathan Srebro 711 DNNR: Differential Nearest Neighbors Regression 0 Leon Sixt, Tim Landgraf, Youssef Nader 712 Overcoming Oscillations in Quantization-Aware Training 0 Marios Fournarakis, Markus Nagel, Tijmen Blankevoort, Yelysei Bondarenko 713 Strategic Representation 0 Ganesh Ghalme, Inbal TalgamCohen, Nir Rosenfeld, Vineet Nair 714 Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation 0 Byeongho Heo, Giung Nam, Hyungi Lee, Juho Lee 715 Measuring Representational Robustness of Neural Networks Through Shared Invariances 0 Adrian Weller, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Till Speicher, Vedant Nanda 716 Tight and Robust Private Mean Estimation with Few Users 0 Hossein Esfandiari, Shyam Narayanan, Vahab S. Mirrokni 717 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models 0 Benjamin F. Grewe, Elvis Nava, John Z. Zhang, Mike Yan Michelis, Pingchuan Ma, Robert Kevin Katzschmann, Tao Du, Wojciech Matusik 718 Multi-Task Learning as a Bargaining Game 0 Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Haggai Maron, Idan Achituve, Kenji Kawaguchi 719 Variational Inference for Infinitely Deep Neural Networks 0 Achille Nazaret, David M. Blei 720 Stable Conformal Prediction Sets 0 Eugène Ndiaye 721 Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning 0 Aviv Netanyahu, Joshua B. Tenenbaum, Pulkit Agrawal, Tianmin Shu 722 Sublinear-Time Clustering Oracle for Signed Graphs 0 Pan Peng, Stefan Neumann 723 Improved Regret for Differentially Private Exploration in Linear MDP 0 Dung Daniel T. Ngo, Giuseppe Vietri, Steven Wu 724 A Framework for Learning to Request Rich and Contextually Useful Information from Humans 0 Hal Daumé III, Khanh X. Nguyen, Yonatan Bisk 725 Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling 0 Aditya Grover, Tung Nguyen 726 Improving Transformers with Probabilistic Attention Keys 0 Dung D. D. Le, Duy Khuong Nguyen, Nhat Ho, Richard G. Baraniuk, Stanley J. Osher, Tam Minh Nguyen, Tan Minh Nguyen, VietAnh Tran 727 On Transportation of Mini-batches: A Hierarchical Approach 0 Dang Nguyen, Dinh Phung, Hung Bui, Khai Nguyen, Nhat Ho, Quoc Dinh Nguyen, Trung Le, Tung Pham 728 Improving Mini-batch Optimal Transport via Partial Transportation 0 Dang Nguyen, Khai Nguyen, Nhat Ho, TheAnh VuLe, Tung Pham 729 Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs 0 Benjamin Eysenbach, Ruslan Salakhutdinov, Tianwei Ni 730 Optimal Estimation of Policy Gradient via Double Fitted Iteration 0 Chengzhuo Ni, Mengdi Wang, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang 731 GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models 0 Aditya Ramesh, Alexander Quinn Nichol, Bob McGrew, Ilya Sutskever, Mark Chen, Pamela Mishkin, Prafulla Dhariwal, Pranav Shyam 732 Diffusion Models for Adversarial Purification 0 Animashree Anandkumar, Arash Vahdat, Brandon Guo, Chaowei Xiao, Weili Nie, Yujia Huang 733 The Primacy Bias in Deep Reinforcement Learning 0 Aaron C. Courville, Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, PierreLuc Bacon 734 Causal Conceptions of Fairness and their Consequences 0 Hamed Nilforoshan, Johann D. Gaebler, Ravi Shroff, Sharad Goel 735 Efficient Test-Time Model Adaptation without Forgetting 0 Jiaxiang Wu, Mingkui Tan, Peilin Zhao, Shijian Zheng, Shuaicheng Niu, Yaofo Chen, Yifan Zhang 736 Generative Trees: Adversarial and Copycat 0 Mathieu GuillameBert, Richard Nock 737 Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules 0 DaeWoong Jeong, Honglak Lee, Juhwan Noh, Kiyoung Kim, Moontae Lee, Sehui Han, Yousung Jung 738 Utilizing Expert Features for Contrastive Learning of Time-Series Representations 0 David Reeb, Ingo Steinwart, Lukas Oldenburg, Manuel T. Nonnenmacher 739 Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval 0 Aidan N. Gomez, Debora S. Marks, Javier MarchenaHurtado, Jonathan Frazer, Mafalda Dias, Pascal Notin, Yarin Gal 740 Fast Finite Width Neural Tangent Kernel 0 Jascha SohlDickstein, Roman Novak, Samuel S. Schoenholz 741 Multicoated Supermasks Enhance Hidden Networks 0 Jaehoon Yu, Kazushi Kawamura, Kazutoshi Hirose, Kota Ando, Masato Motomura, Thiem Van Chu, Yasuyuki Okoshi, Ángel López GarcíaArias 742 Generalized Leverage Scores: Geometric Interpretation and Applications 0 Antonis Matakos, Aristides Gionis, Bruno Ordozgoiti 743 Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering 0 Charalampos E. Tsourakakis, Konstantinos Ameranis, Kunal Talwar, Lorenzo Orecchia 744 Anticorrelated Noise Injection for Improved Generalization 0 Antonio Orvieto, Aurélien Lucchi, Francis R. Bach, Frank Proske, Hans Kersting 745 Scalable Deep Gaussian Markov Random Fields for General Graphs 0 Fredrik Lindsten, Joel Oskarsson, Per Sidén 746 Zero-shot AutoML with Pretrained Models 0 Ekrem Öztürk, Fabio Ferreira, Frank Hutter, Hadi S. Jomaa, Josif Grabocka, Lars SchmidtThieme 747 History Compression via Language Models in Reinforcement Learning 0 Angela BittoNemling, Fabian Paischer, Hamid EghbalZadeh, Markus Holzleitner, Sebastian Lehner, Sepp Hochreiter, Thomas Adler, Vihang Patil 748 A Study on the Ramanujan Graph Property of Winning Lottery Tickets 0 Arindam Biswas, Biswajit Basu, Bithika Pal, Pabitra Mitra, Sudeshna Kolay 749 On Learning Mixture of Linear Regressions in the Non-Realizable Setting 0 Arya Mazumdar, Avishek Ghosh, Rajat Sen, Soumyabrata Pal 750 Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification 0 Huazhe Xu, Ling Pan, Longbo Huang, Tengyu Ma 751 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks 0 Ao Liu, Jingquan Wang, Nannan Li, Yu Pan, Zenglin Xu, Zeyong Su 752 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition 0 Jun Zhu, Min Lin, Shuicheng Yan, Tianyu Pang, Xiao Yang 753 Towards Coherent and Consistent Use of Entities in Narrative Generation 0 Kris Cao, Pinelopi Papalampidi, Tomás Kociský 754 Constrained Discrete Black-Box Optimization using Mixed-Integer Programming 0 Christian Tjandraatmadja, David Belanger, Juan Pablo Vielma, Ross Anderson, Theodore P. Papalexopoulos 755 A Theoretical Comparison of Graph Neural Network Extensions 0 Pál András Papp, Roger Wattenhofer 756 Validating Causal Inference Methods 0 Carlos Varjao, Eric Tchetgen Tchetgen, Harsh Parikh, Louise Xu 757 The Unsurprising Effectiveness of Pre-Trained Vision Models for Control 0 Abhinav Gupta, Aravind Rajeswaran, Senthil Purushwalkam, Simone Parisi 758 Learning Symmetric Embeddings for Equivariant World Models 0 JanWillem van de Meent, Jung Yeon Park, Linfeng Zhao, Ondrej Biza, Robin Walters 759 Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness 0 Namuk Park, Songkuk Kim 760 Exact Optimal Accelerated Complexity for Fixed-Point Iterations 0 Ernest K. Ryu, Jisun Park 761 Kernel Methods for Radial Transformed Compositional Data with Many Zeros 0 Changwon Yoon, Cheolwoo Park, Jeongyoun Ahn, Junyoung Park 762 Evolving Curricula with Regret-Based Environment Design 0 Edward Grefenstette, Jack ParkerHolder, Jakob N. Foerster, Michael Dennis, Mikayel Samvelyan, Minqi Jiang, Tim Rocktäschel 763 Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps 0 Alexandre Pasquiou, Bertrand Thirion, Christophe Pallier, John T. Hale, Yair Lakretz 764 A new similarity measure for covariate shift with applications to nonparametric regression 0 Cong Ma, Martin J. Wainwright, Reese Pathak 765 Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution 0 Johannes Brandstetter, José Antonio ArjonaMedina, MariusConstantin Dinu, Markus Hofmarcher, Matthias Dorfer, Patrick M. Blies, Sepp Hochreiter, Vihang Patil 766 POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging 0 Ion Stoica, Joseph Gonzalez, Paras Jain, Prabal Dutta, Shishir G. Patil 767 Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning 0 Andreas Krause, Chris J. Maddison, Giulia Zarpellon, Laurent Charlin, Max B. Paulus 768 Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks 0 Franco Pellegrini, Giulio Biroli 769 Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding 0 Ian R. Lane, Shinji Watanabe, Siddharth Dalmia, Yifan Peng 770 Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets 0 Jian Peng, Jianzhu Ma, Jiaqi Guan, Qi Xie, Shitong Luo, Xingang Peng 771 Differentiable Top-k Classification Learning 0 Christian Borgelt, Felix Petersen, Hilde Kuehne, Oliver Deussen 772 Multi-scale Feature Learning Dynamics: Insights for Double Descent 0 Amartya Mitra, Guillaume Lajoie, Mohammad Pezeshki, Yoshua Bengio 773 A Differential Entropy Estimator for Training Neural Networks 0 Georg Pichler, Günther Koliander, Malik Boudiaf, Pablo Piantanida, Pierre Jean A. Colombo 774 Federated Learning with Partial Model Personalization 0 Abdelrahman Mohamed, Krishna Pillutla, Kshitiz Malik, Lin Xiao, Maziar Sanjabi, Michael G. Rabbat 775 Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry 0 Antonio Ferraro, Carlo Baldassi, Christoph Feinauer, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina 776 Geometric Multimodal Contrastive Representation Learning 0 Ana Paiva, Danica Kragic, Francisco S. Melo, Hang Yin, Miguel Vasco, Petra Poklukar 777 Constrained Offline Policy Optimization 0 Bruno C. da Silva, Jithin Jagannath, Madalina Fiterau, Nicholas Polosky 778 Offline Meta-Reinforcement Learning with Online Self-Supervision 0 Ashvin Nair, Catherine Huang, Laura Smith, Sergey Levine, Vitchyr H. Pong 779 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps 0 AramAlexandre Pooladian, Jonathan NilesWeed, Marco Cuturi 780 Adaptive Second Order Coresets for Data-efficient Machine Learning 0 Baharan Mirzasoleiman, David Davini, Omead Pooladzandi 781 On the Practicality of Deterministic Epistemic Uncertainty 0 Federico Tombari, Fisher Yu, Janis Postels, Luc Van Gool, Luca Daniel Sieber, Mattia Segù, Tao Sun 782 A Simple Guard for Learned Optimizers 0 Isabeau PrémontSchwarz, Jan Feyereisl, Jaroslav Vitku 783 Hardness and Algorithms for Robust and Sparse Optimization 0 Eric Price, Samson Zhou, Sandeep Silwal 784 Nonlinear Feature Diffusion on Hypergraphs 0 Austin R. Benson, Francesco Tudisco, Konstantin Prokopchik 785 Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows 0 Ivan Dokmanic, Maarten V. de Hoop, Matti Lassas, Michael Puthawala 786 The Teaching Dimension of Regularized Kernel Learners 0 Aimin Zhou, ChenXi Su, Hong Qian, XuHui Liu, Yang Yu 787 ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers 0 ChengI Lai, David D. Cox, Heting Gao, Junrui Ni, Kaizhi Qian, Mark HasegawaJohnson, Shiyu Chang, Yang Zhang 788 Interventional Contrastive Learning with Meta Semantic Regularizer 0 Bing Su, Changwen Zheng, Hui Xiong, Jiangmeng Li, Wenwen Qiang 789 Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost 0 Dan Qiao, Ming Min, Ming Yin, YuXiang Wang 790 Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder 0 Haoliang Li, Shiqi Wang, Tiexin Qin 791 Graph Neural Architecture Search Under Distribution Shifts 0 Pengtao Xie, Wenwu Zhu, Xin Wang, Yijian Qin, Ziwei Zhang 792 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty 0 Ivo Couckuyt, Jixiang Qing, Tom Dhaene 793 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence 0 Lijun Zhang, Quanqi Hu, Tianbao Yang, Yongjian Zhong, ZiHao Qiu 794 Latent Outlier Exposure for Anomaly Detection with Contaminated Data 0 Aodong Li, Chen Qiu, Maja Rudolph, Marius Kloft, Stephan Mandt 795 Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning 0 Chenjia Bai, Lingxiao Wang, Shuang Qiu, Zhaoran Wang, Zhuoran Yang 796 Fast and Provable Nonconvex Tensor RPCA 0 Deyu Meng, Haiquan Qiu, Quanming Yao, Shaojie Tang, Yao Wang 797 Generalized Federated Learning via Sharpness Aware Minimization 0 Bo Tang, Rui Duan, Xingyu Li, Yao Liu, Zhe Qu, Zhuo Lu 798 Particle Transformer for Jet Tagging 0 Congqiao Li, Huilin Qu, Sitian Qian 799 Winning the Lottery Ahead of Time: Efficient Early Network Pruning 0 Bertrand Charpentier, Daniel Zügner, John Rachwan, Morgane Ayle, Simon Geisler, Stephan Günnemann 800 Convergence of Uncertainty Sampling for Active Learning 0 Anant Raj, Francis R. Bach 801 DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale 0 Ammar Ahmad Awan, Conglong Li, Jeff Rasley, Minjia Zhang, Reza Yazdani Aminabadi, Samyam Rajbhandari, Yuxiong He, Zhewei Yao 802 Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization 0 Alexandre Ramé, Corentin Dancette, Matthieu Cord 803 A Closer Look at Smoothness in Domain Adversarial Training 0 Arihant Jain, Harsh Rangwani, Mayank Mishra, Sumukh K. Aithal, Venkatesh Babu Radhakrishnan 804 Linear Adversarial Concept Erasure 0 Michael Twiton, Ryan Cotterell, Shauli Ravfogel, Yoav Goldberg 805 Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks 0 Asaf Maman, Nadav Cohen, Noam Razin 806 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes 0 Anup B. Rao, Aravind Reddy, Eunyee Koh, Gang Wu, Nedim Lipka, Nesreen K. Ahmed, Ryan A. Rossi, Tung Mai, Zhao Song 807 Universality of Winning Tickets: A Renormalization Group Perspective 0 Akshunna S. Dogra, Tianlong Chen, William T. Redman, Zhangyang Wang 808 The dynamics of representation learning in shallow, non-linear autoencoders 0 Maria Refinetti, Sebastian Goldt 809 Proximal Exploration for Model-guided Protein Sequence Design 0 Fan Ding, Jiahan Li, Jian Peng, Jianzhu Ma, Yuan Zhou, Zhizhou Ren 810 Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs 0 Jie Ren, Meng Zhou, Mingjie Li, Quanshi Zhang, ShihHan Chan 811 Benchmarking and Analyzing Point Cloud Classification under Corruptions 0 Jiawei Ren, Liang Pan, Ziwei Liu 812 A Unified View on PAC-Bayes Bounds for Meta-Learning 0 Arezou Rezazadeh 813 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation 0 Eduard Gorbunov, Elnur Gasanov, Igor Sokolov, Ilyas Fatkhullin, Peter Richtárik, Zhize Li 814 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning 0 Julius Berner, Lorenz Richter 815 Probabilistically Robust Learning: Balancing Average and Worst-case Performance 0 Alexander Robey, George J. Pappas, Hamed Hassani, Luiz F. O. Chamon 816 LyaNet: A Lyapunov Framework for Training Neural ODEs 0 Aaron D. Ames, Ivan Dario Jimenez Rodriguez, Yisong Yue 817 Short-Term Plasticity Neurons Learning to Learn and Forget 0 Hector Garcia Rodriguez, Qinghai Guo, Timoleon Moraitis 818 Function-space Inference with Sparse Implicit Processes 0 Bryan Zaldivar, Daniel HernándezLobato, Simón Rodríguez Santana 819 Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models 0 Bernhard Schölkopf, Chris Russell, Dominik Janzing, Francesco Locatello, Matthäus Kleindessner, Paul Rolland, Volkan Cevher 820 Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images 0 Michal WeilerSagie, Tamir Hazan, Tom Ron 821 A Consistent and Efficient Evaluation Strategy for Attribution Methods 0 Enkelejda Kasneci, Gjergji Kasneci, Tobias Leemann, Vadim Borisov, Yao Rong 822 Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries 0 Abhijin Adiga, Anil Vullikanti, Daniel J. Rosenkrantz, Madhav V. Marathe, Richard Edwin Stearns, S. S. Ravi, Zirou Qiu 823 Learning to Infer Structures of Network Games 0 Emanuele Rossi, Federico Monti, Michael M. Bronstein, Xiaowen Dong, Yan Leng 824 Direct Behavior Specification via Constrained Reinforcement Learning 0 Christopher J. Pal, Joshua Romoff, Julien Roy, PierreLuc Bacon, Roger Girgis 825 Constraint-based graph network simulator 0 Alvaro SanchezGonzalez, Peter W. Battaglia, Tobias Pfaff, Yulia Rubanova 826 Continual Learning via Sequential Function-Space Variational Inference 0 Freddie Bickford Smith, Qixuan Feng, Tim G. J. Rudner, Yarin Gal, Yee Whye Teh 827 Graph-Coupled Oscillator Networks 0 Ben Chamberlain, James Rowbottom, Michael M. Bronstein, Siddhartha Mishra, T. Konstantin Rusch 828 Hindering Adversarial Attacks with Implicit Neural Representations 0 Andrei A. Rusu, Dan Andrei Calian, Raia Hadsell, Sven Gowal 829 Exploiting Independent Instruments: Identification and Distribution Generalization 0 Jonas Peters, Leonard Henckel, Niklas Pfister, Sorawit Saengkyongam 830 FedNL: Making Newton-Type Methods Applicable to Federated Learning 0 Mher Safaryan, Peter Richtárik, Rustem Islamov, Xun Qian 831 Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences 0 Aadirupa Saha, Pierre Gaillard 832 Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits 0 Aadirupa Saha, Shubham Gupta 833 Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers 0 Arda Sahiner, Batu Ozturkler, John M. Pauly, Mert Pilanci, Morteza Mardani, Tolga Ergen 834 Off-Policy Evaluation for Large Action Spaces via Embeddings 0 Thorsten Joachims, Yuta Saito 835 Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training 0 Brian Zimmer, Brucek Khailany, Charbel Sakr, Rangharajan Venkatesan, Steve Dai, William J. Dally 836 A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1 0 Adil Salim, Lukang Sun, Peter Richtárik 837 FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers 0 Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh, Zhao Song 838 The Algebraic Path Problem for Graph Metrics 0 Enrique Fita Sanmartín, Fred A. Hamprecht, Sebastian Damrich 839 LSB: Local Self-Balancing MCMC in Discrete Spaces 0 Emanuele Sansone 840 PoF: Post-Training of Feature Extractor for Improving Generalization 0 Ikuro Sato, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami, Ryota Yamada 841 Re-evaluating Word Mover's Distance 0 Hisashi Kashima, Makoto Yamada, Ryoma Sato 842 Understanding Contrastive Learning Requires Incorporating Inductive Biases 0 Akshay Krishnamurthy, Cyril Zhang, Dipendra Misra, Jordan T. Ash, Nikunj Saunshi, Sanjeev Arora, Sham M. Kakade, Surbhi Goel 843 The Neural Race Reduction: Dynamics of Abstraction in Gated Networks 0 Andrew M. Saxe, Sam Jay Lewallen, Shagun Sodhani 844 Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness 0 Cédric Malherbe, Kevin Scaman, Ludovic Dos Santos 845 An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings 0 Laurent Meunier, Meyer Scetbon, Yaniv Romano 846 Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs 0 Gabriel Peyré, Marco Cuturi, Meyer Scetbon 847 Streaming Inference for Infinite Feature Models 0 Gabrielle K. Liu, Ila Fiete, Rylan Schaeffer, Yilun Du 848 Modeling Irregular Time Series with Continuous Recurrent Units 0 Maja Rudolph, Mazin Eltayeb, Mona Schirmer, Stefan Lessmann 849 Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation 0 Cory D. Hauck, Martin Frank, Steffen Schotthöfer, Tianbai Xiao 850 Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification 0 An Nguyen, Bjoern M. Eskofier, Dario Zanca, Doina Precup, Falk Pulsmeyer, Leo Schwinn, Leon Bungert, René Raab 851 Symmetric Machine Theory of Mind 0 Graham Neubig, Melanie Sclar, Yonatan Bisk 852 Data-SUITE: Data-centric identification of in-distribution incongruous examples 0 Jonathan Crabbé, Mihaela van der Schaar, Nabeel Seedat 853 Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations 0 Alexis Bellot, Fergus Imrie, Mihaela van der Schaar, Nabeel Seedat, Zhaozhi Qian 854 Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization 0 Gitta Kutyniok, Mariia Seleznova 855 Reinforcement Learning with Action-Free Pre-Training from Videos 0 Kimin Lee, Pieter Abbeel, Stephen James, Younggyo Seo 856 Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation 0 Andreas Krause, Maryam Kamgarpour, Pier Giuseppe Sessa 857 Selective Regression under Fairness Criteria 0 Abhin Shah, Gregory W. Wornell, Joshua K. Lee, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Yuheng Bu 858 Utility Theory for Sequential Decision Making 0 Mehran Shakerinava, Siamak Ravanbakhsh 859 Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots 0 Aravind Rajeswaran, Jean Oh, Stuart Anderson, Tanmay Shankar, Vikash Kumar, Yixin Lin 860 A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning 0 Archit Sharma, Chelsea Finn, Rehaan Ahmad 861 Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold 0 Ila R. Fiete, Sarthak Chandra, Sugandha Sharma 862 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms 0 Gauri Joshi, Pramod K. Varshney, Pranay Sharma, Rohan Panda 863 DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning 0 Hassam Sheikh, Kizza Frisbee, Mariano Phielipp 864 Instance Dependent Regret Analysis of Kernelized Bandits 0 Shubhanshu Shekhar, Tara Javidi 865 Data Augmentation as Feature Manipulation 0 Ruoqi Shen, Suriya Gunasekar, Sébastien Bubeck 866 Metric-Fair Active Learning 0 Jie Shen, Jing Wang, Nan Cui 867 PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs 0 Jinwen Ma, Qi She, Tao Hong, Zhengyang Shen, Zhouchen Lin 868 Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation 0 Ananya Kumar, Jeff Z. HaoChen, Kendrick Shen, Percy Liang, Robbie M. Jones, Sang Michael Xie, Tengyu Ma 869 Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense 0 Guangyu Shen, Guanhong Tao, Qiuling Xu, Shengwei An, Shiqing Ma, Xiangyu Zhang, Yingqi Liu, Zhuo Zhang 870 Staged Training for Transformer Language Models 0 Iz Beltagy, Jesse Dodge, Kurt Keutzer, Matthew E. Peters, Pete Walsh, Sheng Shen 871 Deep Network Approximation in Terms of Intrinsic Parameters 0 Haizhao Yang, Shijun Zhang, Zuowei Shen 872 Gradient-Free Method for Heavily Constrained Nonconvex Optimization 0 Bin Gu, Hongchang Gao, Wanli Shi 873 Global Optimization of K-Center Clustering 0 Jiayang Ren, Kaixun Hua, Mingfei Shi, Yankai Cao 874 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity 0 Gen Li, Laixi Shi, Yuejie Chi, Yuting Wei, Yuxin Chen 875 Adversarial Masking for Self-Supervised Learning 0 Adam R. Kosiorek, N. Siddharth, Philip H. S. Torr, Yuge Shi 876 Visual Attention Emerges from Recurrent Sparse Reconstruction 0 Baifeng Shi, Neel Joshi, Trevor Darrell, Xin Wang, Yale Song 877 A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes 0 Chengchun Shi, Jiawei Huang, Masatoshi Uehara, Nan Jiang 878 Robust Group Synchronization via Quadratic Programming 0 Cole M. Wyeth, Gilad Lerman, Yunpeng Shi 879 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets 0 Justin M. Solomon, Kristjan H. Greenewald, Mikhail Yurochkin, Tal Shnitzer 880 Scalable Computation of Causal Bounds 0 Garud Iyengar, Madhumitha Shridharan 881 Bit Prioritization in Variational Autoencoders via Progressive Coding 0 Rui Shu, Stefano Ermon 882 Fair Representation Learning through Implicit Path Alignment 0 Boyu Wang, Changjian Shui, Christian Gagné, Jiaqi Li, Qi Chen 883 Faster Algorithms for Learning Convex Functions 0 Ali Siahkamari, Brian Kulis, Christopher Liao, Durmus Alp Emre Acar, Kelly L. Geyer, Venkatesh Saligrama 884 Coin Flipping Neural Networks 0 Assaf Schuster, Gal Yehuda, Nitzan Hodos, Yuval Sieradzki 885 Reverse Engineering the Neural Tangent Kernel 0 James Benjamin Simon, Michael Robert DeWeese, Sajant Anand 886 Demystifying the Adversarial Robustness of Random Transformation Defenses 0 Chawin Sitawarin, David A. Wagner, Zachary J. GolanStrieb 887 Smoothed Adversarial Linear Contextual Bandits with Knapsacks 0 Arindam Banerjee, Shiliang Zuo, Vidyashankar Sivakumar 888 GenLabel: Mixup Relabeling using Generative Models 0 Dimitris S. Papailiopoulos, Hongxu Chen, Jaekyun Moon, Jyyong Sohn, Kangwook Lee, Liang Shang 889 Communicating via Markov Decision Processes 0 Christian A. Schröder de Witt, J. Zico Kolter, Jakob N. Foerster, Luisa M. Zintgraf, Martin Strohmeier, Maximilian Igl, Philip H. S. Torr, Samuel Sokota, Shimon Whiteson 890 The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks 0 Hadeel Soliman, Kevin S. Xu, Lingfei Zhao, Subhadeep Paul, Zhipeng Huang 891 Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning 0 Jinwoo Shin, Junsu Kim, Kyunghwan Son, Roben Delos Reyes, Sungsoo Ahn, Yung Yi 892 TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification 0 Eunho Yang, Jaeyun Song, Joonhyung Park 893 A General Recipe for Likelihood-free Bayesian Optimization 0 Jiaming Song, Lantao Yu, Stefano Ermon, Willie Neiswanger 894 Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis 0 Isao Ishikawa, Masahiro Ikeda, Sho Sonoda 895 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation 0 Aivar Sootla, Alexander I. CowenRivers, David Henry Mguni, Haitham Ammar, Jun Wang, Taher Jafferjee, Ziyan Wang 896 Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent 0 Haibin Guan, Ilia Ilmer, Jun Li, Pedro Soto 897 Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders 0 Andrew Gordon Wilson, Emily Delaney, Nate Gruver, Peyton Greenside, Phillip M. Maffettone, Samuel Stanton, Wesley J. Maddox 898 3D Infomax improves GNNs for Molecular Property Prediction 0 Christian Dallago, Dominique Beaini, Gabriele Corso, Hannes Stärk, Pietro Lió, Prudencio Tossou, Stephan Günnemann 899 EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction 0 Hannes Stärk, Lagnajit Pattanaik, Octavian Ganea, Regina Barzilay, Tommi S. Jaakkola 900 Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks 0 Antonia Adler, Antonio De Almeida Correia, Dominik Hintersdorf, Kristian Kersting, Lukas Struppek 901 Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework 0 Furong Huang, Jiahao Su, Wonmin Byeon 902 Divergence-Regularized Multi-Agent Actor-Critic 0 Kefan Su, Zongqing Lu 903 Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems 0 Frans A. Oliehoek, Jinke He, Matthijs T. J. Spaan, Miguel Suau 904 Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images 0 Andreas Spanias, Jayaraman J. Thiagarajan, Mark Naufel, Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy 905 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems 0 Ernest K. Ryu, Gyumin Roh, Jaewook J. Suh 906 Do Differentiable Simulators Give Better Policy Gradients? 0 Hyung Ju Terry Suh, Kaiqing Zhang, Max Simchowitz, Russ Tedrake 907 Intriguing Properties of Input-Dependent Randomized Smoothing 0 Aleksei Kuvshinov, Peter Súkeník, Stephan Günnemann 908 Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments 0 Benjamin Black, John P. Dickerson, Jordan K. Terry, Ryan Sullivan 909 AGNAS: Attention-Guided Micro and Macro-Architecture Search 0 Jilin Mei, Longxing Yang, Shun Lu, Xiaowei Li, Yinhe Han, Yu Hu, Zihao Sun 910 Adaptive Random Walk Gradient Descent for Decentralized Optimization 0 Bao Wang, Dongsheng Li, Tao Sun 911 MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection 0 Hao Li, Ming Lin, Rong Jin, Xiuyu Sun, Zhenhong Sun, Zhiyu Tan 912 Out-of-Distribution Detection with Deep Nearest Neighbors 0 Xiaojin Zhu, Yifei Ming, Yixuan Li, Yiyou Sun 913 Black-Box Tuning for Language-Model-as-a-Service 0 Hong Qian, Tianxiang Sun, Xipeng Qiu, Xuanjing Huang, Yunfan Shao 914 Correlated Quantization for Distributed Mean Estimation and Optimization 0 Ananda Theertha Suresh, Felix X. Yu, Jae Ro, Ziteng Sun 915 Causal Imitation Learning under Temporally Correlated Noise 0 Drew Bagnell, Gokul Swamy, Sanjiban Choudhury, Steven Wu 916 Being Properly Improper 0 Lalitha Sankar, Richard Nock, Tyler Sypherd 917 Distributionally-Aware Kernelized Bandit Problems for Risk Aversion 0 Sho Takemori 918 Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound 0 Kazuki Shitara, Masayuki Karasuyama, Shion Takeno, Tomoyuki Tamura 919 SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization 0 ChiehHsin Lai, Junki Ohmura, Naoki Murata, Shusuke Takahashi, Takashi Shibuya, Toshimitsu Uesaka, Toshiyuki Kumakura, WeiHsiang Liao, Yuhta Takida, Yuki Mitsufuji 920 A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources 0 ChungChou H. Chang, Ling Zhou, Lu Tang, Xiaoqing Tan 921 N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations 0 Breannan Smith, Dinesh Manocha, Qingyang Tan, Takaaki Shiratori, Zherong Pan 922 Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning 0 Yunhao Tang 923 Rethinking Graph Neural Networks for Anomaly Detection 0 Jia Li, Jiajin Li, Jianheng Tang, Ziqi Gao 924 Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm 0 Huayi Tang, Yong Liu 925 Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning 0 Bo Han, Shaohuai Shi, Xiaowen Chu, Xin He, Yonggang Zhang, Zhenheng Tang 926 Cross-Space Active Learning on Graph Convolutional Networks 0 Hao Wu, Shiyuan Deng, Yufei Tao 927 FedNest: Federated Bilevel, Minimax, and Compositional Optimization 0 Christos Thrampoulidis, Davoud Ataee Tarzanagh, Mingchen Li, Samet Oymak 928 Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity 0 Bryan Kian Hsiang Low, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Sebastian Shenghong Tay 929 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood 0 Adam Golinski, Jacek Tabor, Lukasz Garncarek, Piotr Tempczyk, Przemyslaw Spurek, Rafal Michaluk 930 LCANets: Lateral Competition Improves Robustness Against Corruption and Attack 0 Ben Migliori, Garrett T. Kenyon, Juston Moore, Michael A. Teti 931 Reverse Engineering ℓp attacks: A block-sparse optimization approach with recovery guarantees 0 Darshan Thaker, Paris Giampouras, René Vidal 932 Generalised Policy Improvement with Geometric Policy Composition 0 André Barreto, Diana Borsa, Mark Rowland, Rémi Munos, Shantanu Thakoor, Will Dabney 933 Algorithms for the Communication of Samples 0 Lucas Theis, Noureldin Y. Ahmed 934 Consistent Polyhedral Surrogates for Top-k Classification and Variants 0 Anish Thilagar, Emma Goodwill, Jessica Finocchiaro, Rafael M. Frongillo 935 On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions 0 Anthony ManCho So, Kaiwen Zhou, Lai Tian 936 From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses 0 Alexey Naumov, Daniil Tiapkin, Denis Belomestny, Eric Moulines, Michal Valko, Pierre Ménard, Sergey Samsonov, Yunhao Tang 937 Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes 0 Conor Tillinghast, Shandian Zhe, Zheng Wang 938 Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm 0 Aladin Virmaux, Ekkehard Schnoor, Igor Colin, Malik Tiomoko, Mohamed El Amine Seddik 939 Extended Unconstrained Features Model for Exploring Deep Neural Collapse 0 Joan Bruna, Tom Tirer 940 Object Permanence Emerges in a Random Walk along Memory 0 Adrien Gaidon, Allan Jabri, Jie Li, Pavel Tokmakov 941 Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more 0 Dan Feldman, Elad Tolochinsky, Ibrahim Jubran 942 Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data 0 Antonio Sclocchi, Matthieu Wyart, Umberto M. Tomasini 943 Quantifying and Learning Linear Symmetry-Based Disentanglement 0 Jim Portegies, Loek Tonnaer, Luis Armando Pérez Rey, Mike Holenderski, Vlado Menkovski 944 A Temporal-Difference Approach to Policy Gradient Estimation 0 Andrew Patterson, Martha White, Rupam Mahmood, Samuele Tosatto 945 Simple and near-optimal algorithms for hidden stratification and multi-group learning 0 Christopher J. Tosh, Daniel Hsu 946 Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization 0 Aviral Kumar, Brandon Trabucco, Sergey Levine, Xinyang Geng 947 AnyMorph: Learning Transferable Polices By Inferring Agent Morphology 0 Brandon Trabucco, Glen Berseth, Mariano Phielipp 948 Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them 0 Florian Tramèr 949 Nesterov Accelerated Shuffling Gradient Method for Convex Optimization 0 Katya Scheinberg, Lam M. Nguyen, Trang H. Tran 950 A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation 0 Chau Tran, Guo Yu 951 Tackling covariate shift with node-based Bayesian neural networks 0 Luigi Acerbi, Markus Heinonen, Samuel Kaski, Trung Q. Trinh 952 Fenrir: Physics-Enhanced Regression for Initial Value Problems 0 Filip Tronarp, Nathanael Bosch, Philipp Hennig 953 Interpretable Off-Policy Learning via Hyperbox Search 0 Daniel Tschernutter, Stefan Feuerriegel, Tobias Hatt 954 FriendlyCore: Practical Differentially Private Aggregation 0 Edith Cohen, Eliad Tsfadia, Haim Kaplan, Uri Stemmer, Yishay Mansour 955 Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding 0 Kazuma Tsuji, Ken'ichiro Tanaka, Sebastian Pokutta 956 Prototype Based Classification from Hierarchy to Fairness 0 Julie A. Shah, Mycal Tucker 957 Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures 0 Nelson Vadori, Rahul Savani, Sumitra Ganesh, Thomas Spooner 958 Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech 0 Aditya R. Vaidya, Alexander Huth, Shailee Jain 959 Path-Gradient Estimators for Continuous Normalizing Flows 0 Kim Andrea Nicoli, Lorenz Vaitl, Pan Kessel, Shinichi Nakajima 960 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning 0 Alberto Bernacchia, DaShan Shiu, Jonathan Scarlett, Sattar Vakili 961 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning 0 Amit Portnoy, Gal Mendelson, Michael Mitzenmacher, Ran Ben Basat, Shay Vargaftik, Yaniv BenItzhak 962 Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent 0 Benjamin DuboisTaine, Reza Babanezhad, Sharan Vaswani 963 Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds 0 Nate Veldt 964 The CLRS Algorithmic Reasoning Benchmark 0 Adrià Puigdomènech Badia, Andrea Banino, Charles Blundell, David Budden, Misha Dashevskiy, Petar Velickovic, Raia Hadsell, Razvan Pascanu 965 Bregman Power k-Means for Clustering Exponential Family Data 0 Adithya Vellal, Jason Q. Xu, Saptarshi Chakraborty 966 Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing 0 Kevin Kögler, Marco Mondelli, Ramji Venkataramanan 967 Bayesian Optimization under Stochastic Delayed Feedback 0 Arun Verma, Bryan Kian Hsiang Low, Zhongxiang Dai 968 VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis 0 Abir De, Soumen Chakrabarti, Tathagat Verma, Vishwa Vinay, Yateesh Agrawal 969 Calibrated Learning to Defer with One-vs-All Classifiers 0 Eric T. Nalisnick, Rajeev Verma 970 Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation 0 Advait Parulekar, Daniel Vial, R. Srikant, Sanjay Shakkottai 971 On Implicit Bias in Overparameterized Bilevel Optimization 0 David Duvenaud, Fabian Pedregosa, Jonathan P. Lorraine, Paul Vicol, Roger B. Grosse 972 Multiclass learning with margin: exponential rates with no bias-variance trade-off 0 Ernesto De Vito, Giacomo Meanti, Lorenzo Rosasco, Stefano Vigogna 973 Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning 0 Adam R. Villaflor, Jeff Schneider, John M. Dolan, Swapnil Pande, Zhe Huang 974 Bayesian Nonparametrics for Offline Skill Discovery 0 Chris J. Maddison, Gabriel LoaizaGanem, Harry J. Braviner, Panteha Naderian, Valentin Villecroze 975 Hermite Polynomial Features for Private Data Generation 0 Frederik Harder, Kamil Adamczewski, Margarita Vinaroz, Mijung Park, MohammadAmin Charusaie 976 What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us? 0 Jonathan Frankle, Tiffany J. Vlaar 977 Multirate Training of Neural Networks 0 Benedict J. Leimkuhler, Tiffany J. Vlaar 978 Provably Adversarially Robust Nearest Prototype Classifiers 0 Matthias Hein, Václav Vorácek 979 First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach 0 Andrew J. Wagenmaker, Kevin G. Jamieson, Max Simchowitz, Simon S. Du, Yifang Chen 980 Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes 0 Andrew J. Wagenmaker, Kevin G. Jamieson, Max Simchowitz, Simon S. Du, Yifang Chen 981 Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four 0 Felix Huber, Sebastian Pokutta, Stephan Wäldchen 982 Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer 0 Ben Liao, ChangYu Hsieh, Shengyu Zhang, Yue Wan 983 Safe Exploration for Efficient Policy Evaluation and Comparison 0 Branislav Kveton, Rui Song, Runzhe Wan 984 Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning 0 Lipeng Wan, Nanning Zheng, Xingyu Chen, Xuguang Lan, Zeyang Liu 985 Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods 0 Ali RahimiKalahroudi, Harm van Seijen, Ida Momennejad, Janarthanan Rajendran, Sarath Chandar, Yi Wan 986 Fast Lossless Neural Compression with Integer-Only Discrete Flows 0 Bo Zhang, Chongxuan Li, Jianfei Chen, Jun Zhu, Siyu Wang 987 Accelerating Shapley Explanation via Contributive Cooperator Selection 0 Fan Yang, Guanchu Wang, Mengnan Du, Pushkar Tripathi, Quan Zhou, Xia Ben Hu, Xuanting Cai, YuNeng Chuang 988 Denoised MDPs: Learning World Models Better Than the World Itself 0 Amy Zhang, Antonio Torralba, Phillip Isola, Simon S. Du, Tongzhou Wang, Yuandong Tian 989 Neural Implicit Dictionary Learning via Mixture-of-Expert Training 0 Peihao Wang, Tianlong Chen, Zhangyang Wang, Zhiwen Fan 990 Robust Models Are More Interpretable Because Attributions Look Normal 0 Anupam Datta, Matt Fredrikson, Zifan Wang 991 Disentangling Disease-related Representation from Obscure for Disease Prediction 0 Churan Wang, Fandong Zhang, Fangwei Zhong, Fei Gao, Yizhou Wang, Yizhou Yu 992 Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation 0 Alex L. Wang, Jiali Wang, Rujun Jiang, Wen Huang, Xudong Li 993 VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix 0 Chengguo Yin, Feng Zheng, Ping Luo, Ran Cheng, Teng Wang, Wenhao Jiang, Zhichao Lu 994 DynaMixer: A Vision MLP Architecture with Dynamic Mixing 0 Li Yuan, Wei Liu, Wenhao Jiang, Yibing Song, Yiming Zhu, Ziyu Wang 995 Improving Screening Processes via Calibrated Subset Selection 0 Lequn Wang, Manuel Gomez Rodriguez, Thorsten Joachims 996 The Geometry of Robust Value Functions 0 Bryan Hooi, Jiashi Feng, Kaixin Wang, Kuangqi Zhou, Navdeep Kumar, Shie Mannor 997 What Dense Graph Do You Need for Self-Attention? 0 ChuTak Lee, Qipeng Guo, Xipeng Qiu, Xuanjing Huang, Yunhua Zhou, Yuxin Wang, Zhangyue Yin 998 Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation 0 Alexander Levine, Soheil Feizi, Wenxiao Wang 999 Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond 0 Bo Li, Han Zhao, Haoxiang Wang 1000 Communication-Efficient Adaptive Federated Learning 0 Jinghui Chen, Lu Lin, Yujia Wang 1001 Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out 0 Andre Wibisono, Bin Hu, ChiHeng Lin, JunKun Wang 1002 Robustness Verification for Contrastive Learning 0 Weiwei Liu, Zekai Wang 1003 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering 0 Anthony ManCho So, Huikang Liu, Laura Balzano, Peng Wang 1004 NP-Match: When Neural Processes meet Semi-Supervised Learning 0 Alexandros Neophytou, Daniela Massiceti, Jianfeng Wang, Thomas Lukasiewicz, Vladimir Pavlovic, Xiaolin Hu 1005 Iterative Double Sketching for Faster Least-Squares Optimization 0 Rui Wang, Wangli Xu, Yanyan Ouyang 1006 What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization? 0 Adam Roberts, Colin Raffel, Daniel Hesslow, Hyung Won Chung, Iz Beltagy, Julien Launay, Teven Le Scao, Thomas Wang 1007 Improving Task-free Continual Learning by Distributionally Robust Memory Evolution 0 Le Fang, Li Shen, Mingchen Gao, Qiuling Suo, Tiehang Duan, Zhenyi Wang 1008 Risk-Averse No-Regret Learning in Online Convex Games 0 Michael M. Zavlanos, Yi Shen, Zifan Wang 1009 Provable Domain Generalization via Invariant-Feature Subspace Recovery 0 Bo Li, Han Zhao, Haoxiang Wang, Haozhe Si 1010 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training 0 HuiPo Wang, Mario Fritz, Sebastian U. Stich, Yang He 1011 Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search 0 Herke van Hoof, Qi Wang 1012 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics 0 Robin Walters, Rose Yu, Rui Wang 1013 Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points 0 Yi Wang, Zhiren Wang 1014 Understanding Instance-Level Impact of Fairness Constraints 0 Jialu Wang, Xin Eric Wang, Yang Liu 1015 Tractable Uncertainty for Structure Learning 0 Benjie Wang, Marta Kwiatkowska, Matthew Wicker 1016 Causal Dynamics Learning for Task-Independent State Abstraction 0 Peter Stone, Xuesu Xiao, Yuke Zhu, Zifan Xu, Zizhao Wang 1017 Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms 0 Hong Xie, John C. S. Lui, Xuchuang Wang 1018 Generative Coarse-Graining of Molecular Conformations 0 Benjamin Kurt Miller, Chen Cai, Jian Tang, Minkai Xu, Rafael GómezBombarelli, Tess E. Smidt, Wujie Wang, Yusu Wang 1019 Nonparametric Embeddings of Sparse High-Order Interaction Events 0 Akil Narayan, Conor Tillinghast, Shandian Zhe, Shibo Li, Yiming Xu, Zheng Wang 1020 When Are Linear Stochastic Bandits Attackable? 0 Haifeng Xu, Hongning Wang, Huazheng Wang 1021 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks 0 Anshumali Shrivastava, T. S. Eugene Ng, Xinyu Crystal Wu, Zhaozhuo Xu, Zhuang Wang 1022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications 0 Bokun Wang, Tianbao Yang 1023 OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework 0 An Yang, Chang Zhou, Hongxia Yang, Jianxin Ma, Jingren Zhou, Junyang Lin, Peng Wang, Rui Men, Shuai Bai, Zhikang Li 1024 How Powerful are Spectral Graph Neural Networks 0 Muhan Zhang, Xiyuan Wang 1025 Thompson Sampling for Robust Transfer in Multi-Task Bandits 0 Chicheng Zhang, Kamalika Chaudhuri, Zhi Wang 1026 Individual Reward Assisted Multi-Agent Reinforcement Learning 0 Changjie Fan, Chongjie Zhang, Jianye Hao, Li Wang, Tangjie Lv, Weixun Wang, Yang Gao, Yujing Hu, Yupeng Zhang 1027 Removing Batch Normalization Boosts Adversarial Training 0 Aston Zhang, Haotao Wang, Mu Li, Shuai Zheng, Xingjian Shi, Zhangyang Wang 1028 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition 0 Alex J. Smola, Aston Zhang, Haotao Wang, Mu Li, Shuai Zheng, Yi Zhu, Zhangyang Wang 1029 Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition 0 Shandian Zhe, Zheng Wang 1030 Thompson Sampling for (Combinatorial) Pure Exploration 0 Jun Zhu, Siwei Wang 1031 Policy Gradient Method For Robust Reinforcement Learning 0 Shaofeng Zou, Yue Wang 1032 Certifying Out-of-Domain Generalization for Blackbox Functions 0 Bo Li, Boxin Wang, Ce Zhang, Linyi Li, Maurice Weber, Zhikuan Zhao 1033 More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize 0 Alexander Wei, Jacob Steinhardt, Wei Hu 1034 To Smooth or Not? When Label Smoothing Meets Noisy Labels 0 Gang Niu, Hangyu Liu, Jiaheng Wei, Masashi Sugiyama, Tongliang Liu, Yang Liu 1035 Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets 0 Bo An, Hongxin Wei, Lei Feng, Lue Tao, Renchunzi Xie 1036 Mitigating Neural Network Overconfidence with Logit Normalization 0 Bo An, Hao Cheng, Hongxin Wei, Lei Feng, Renchunzi Xie, Yixuan Li 1037 Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics 0 Animesh Garg, Matthias Weissenbacher, Samarth Sinha, Yoshinobu Kawahara 1038 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification 0 Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein, Yuxin Wen 1039 BabelTower: Learning to Auto-parallelized Program Translation 0 Chao Wang, Jianxing Xu, Ling Li, Qi Guo, Qiang Fu, Xiaqing Li, Xing Hu, Xuehai Zhou, Yanlin Tang, Yongwei Zhao, Yuanbo Wen, Yunji Chen, Zidong Du 1040 Random Forest Density Estimation 0 Hanyuan Hang, Hongwei Wen 1041 Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming 0 Chuan Wen, Dinesh Jayaraman, Jianing Qian, Jiaye Teng, Jierui Lin, Yang Gao 1042 Preconditioning for Scalable Gaussian Process Hyperparameter Optimization 0 Geoff Pleiss, Jacob R. Gardner, John P. Cunningham, Jonathan Wenger, Philipp Hennig 1043 Measure Estimation in the Barycentric Coding Model 0 Abiy Tasissa, James M. Murphy, Matthew Werenski, Ruijie Jiang, Shuchin Aeron 1044 COLA: Consistent Learning with Opponent-Learning Awareness 0 Alistair Letcher, Jakob N. Foerster, Johannes Treutlein, Timon Willi 1045 Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning 0 David Meger, Harley E. Wiltzer, Marc G. Bellemare 1046 Easy Variational Inference for Categorical Models via an Independent Binary Approximation 0 Eric L. Miller, Michael C. Hughes, Michael T. Wojnowicz, Shuchin Aeron 1047 Continual Learning with Guarantees via Weight Interval Constraints 0 Bartosz Wójcik, Jacek Tabor, Karol J. Piczak, Lukasz Pustelnik, Maciej Wolczyk, Pawel Morawiecki, Przemyslaw Spurek, Tomasz Trzcinski 1048 A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications 0 Alexander Veicht, Ard Kastrati, Dustin Klebe, JieMing Li, Lukas Wolf, Martyna Beata Plomecka, Nicolas Langer, Roger Wattenhofer 1049 Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time 0 Amir Zandieh, David P. Woodruff 1050 Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time 0 Ali Farhadi, Ari S. Morcos, Gabriel Ilharco, Hongseok Namkoong, Ludwig Schmidt, Mitchell Wortsman, Raphael Gontijo Lopes, Rebecca Roelofs, Samir Yitzhak Gadre, Simon Kornblith, Yair Carmon 1051 Metric-Fair Classifier Derandomization 0 Jimmy Wu, Yang Liu, Yatong Chen 1052 Structural Entropy Guided Graph Hierarchical Pooling 0 Junran Wu, Ke Xu, Shangzhe Li, Xueyuan Chen 1053 Self-supervised Models are Good Teaching Assistants for Vision Transformers 0 Haiyan Wu, Ke Li, Shaohui Lin, Xing Sun, Yinqi Zhang, Yuan Xie, Yuting Gao 1054 Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks 0 Krzysztof J. Geras, Kyunghyun Cho, Nan Wu, Stanislaw Jastrzebski 1055 Instrumental Variable Regression with Confounder Balancing 0 Anpeng Wu, Bo Li, Fei Wu, Kun Kuang 1056 MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution 0 ChungKuei Lee, Kailu Wu, Kaisheng Ma 1057 Delay-Adaptive Step-sizes for Asynchronous Learning 0 Hamid Reza Feyzmahdavian, Mikael Johansson, Sindri Magnússon, Xuyang Wu 1058 Variational nearest neighbor Gaussian process 0 Geoff Pleiss, John P. Cunningham, Luhuan Wu 1059 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach 0 Guangjian Tian, Jun Wang, Ling Shi, Shuang Wu 1060 DAVINZ: Data Valuation using Deep Neural Networks at Initialization 0 Bryan Kian Hsiang Low, Yao Shu, Zhaoxuan Wu 1061 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum 0 Junlin Wu, Yevgeniy Vorobeychik 1062 Revisiting Consistency Regularization for Deep Partial Label Learning 0 DengBao Wang, DongDong Wu, MinLing Zhang 1063 Flowformer: Linearizing Transformers with Conservation Flows 0 Haixu Wu, Jialong Wu, Jianmin Wang, Jiehui Xu, Mingsheng Long 1064 Nearly Optimal Policy Optimization with Stable at Any Time Guarantee 0 Han Zhong, Jiantao Jiao, Liwei Wang, Simon S. Du, Tianhao Wu, Yunchang Yang 1065 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval 0 Heng Huang, Hongyang Zhang, Yihan Wu 1066 Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression 0 Difan Zou, Jingfeng Wu, Quanquan Gu, Sham M. Kakade, Vladimir Braverman 1067 Optimal Clustering with Noisy Queries via Multi-Armed Bandit 0 Jinghui Xia, Zengfeng Huang 1068 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning 0 Ge Wang, Jintao Chen, Jun Xia, Lirong Wu, Stan Z. Li 1069 Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm 0 Jeffrey Pennington, Lechao Xiao 1070 Identification of Linear Non-Gaussian Latent Hierarchical Structure 0 Biwei Huang, Feng Xie, Kun Zhang, Yangbo He, Zhengming Chen, Zhi Geng 1071 COAT: Measuring Object Compositionality in Emergent Representations 0 Ari S. Morcos, Ramakrishna Vedantam, Sirui Xie, SongChun Zhu 1072 Robust Policy Learning over Multiple Uncertainty Sets 0 Amy Zhang, Annie Xie, Chelsea Finn, Joelle Pineau, Shagun Sodhani 1073 Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum 0 Huishuai Zhang, Issei Sato, Masashi Sugiyama, Xinrui Wang, Zeke Xie 1074 Self-Supervised Representation Learning via Latent Graph Prediction 0 Shuiwang Ji, Yaochen Xie, Zhao Xu 1075 Efficient Computation of Higher-Order Subgraph Attribution via Message Passing 0 Grégoire Montavon, KlausRobert Müller, Ping Xiong, Shinichi Nakajima, Thomas Schnake 1076 A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games 0 Chengshuai Shi, Cong Shen, Han Zhong, Tong Zhang, Wei Xiong 1077 Importance Weighted Kernel Bayes' Rule 0 Arnaud Doucet, Arthur Gretton, Liyuan Xu, Yutian Chen 1078 Learning to Separate Voices by Spatial Regions 0 Alan Xu, Romit Roy Choudhury 1079 Detached Error Feedback for Distributed SGD with Random Sparsification 0 An Xu, Heng Huang 1080 Accurate Quantization of Measures via Interacting Particle-based Optimization 0 Anna Korba, Dejan Slepcev, Lantian Xu 1081 Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces 0 Edgar Dobriban, Jiahui Lei, Kostas Daniilidis, Yinshuang Xu 1082 Inferring Cause and Effect in the Presence of Heteroscedastic Noise 0 Alexander Marx, Jilles Vreeken, Osman Mian, Sascha Xu 1083 Prompting Decision Transformer for Few-Shot Policy Generalization 0 Chuang Gan, Ding Zhao, Joshua B. Tenenbaum, Mengdi Xu, Shun Zhang, Yikang Shen, Yuchen Lu 1084 Analyzing and Mitigating Interference in Neural Architecture Search 0 Jian Li, Jin Xu, Kaitao Song, Renqian Luo, Tao Qin, TieYan Liu, Xu Tan, Yichong Leng 1085 On the Statistical Benefits of Curriculum Learning 0 Ambuj Tewari, Ziping Xu 1086 A Difference Standardization Method for Mutual Transfer Learning 0 Beilun Wang, Haoqing Xu, Meng Wang 1087 SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks 0 ChinYi Cheng, Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Xiang Xu, Yasutaka Furukawa 1088 Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations 0 Haoran Xu, Honglei Yin, Huiling Qin, Xianyuan Zhan 1089 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests 0 Feng Liu, Jingfeng Zhang, Masashi Sugiyama, Mohan S. Kankanhalli, Xilie Xu 1090 Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization 0 Bo Li, Evelyn Ma, Hyun Ho Son, Jacky Y. Zhang, Sanmi Koyejo, Xiaojun Xu 1091 A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization 0 Peng Cui, Renzhe Xu, Tong Zhang, Xingxuan Zhang, Zheyan Shen 1092 Langevin Monte Carlo for Contextual Bandits 0 Animashree Anandkumar, Eric V. Mazumdar, Hongkai Zheng, Kamyar Azizzadenesheli, Pan Xu 1093 Investigating Why Contrastive Learning Benefits Robustness against Label Noise 0 Baharan Mirzasoleiman, Kyle Whitecross, Yihao Xue 1094 Diversified Adversarial Attacks based on Conjugate Gradient Method 0 Haruki Sato, Hiroki Ishikura, Issa Oe, Katsuki Fujisawa, Keiichiro Yamamura, Nariaki Tateiwa, Nozomi Hata, Toru Mitsutake 1095 Cycle Representation Learning for Inductive Relation Prediction 0 Chao Chen, Liangcai Gao, Tengfei Ma, Zhi Tang, Zuoyu Yan 1096 Optimally Controllable Perceptual Lossy Compression 0 Fei Wen, Peilin Liu, Zeyu Yan 1097 Active fairness auditing 0 Chicheng Zhang, Tom Yan 1098 Self-Organized Polynomial-Time Coordination Graphs 0 Chongjie Zhang, Jianhao Wang, Qianlan Yang, Tonghan Wang, Weijun Dong, Zhizhou Ren 1099 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning 0 Mingyuan Zhou, Shentao Yang, Shujian Zhang, Yihao Feng 1100 A Psychological Theory of Explainability 0 Patrick Shafto, Scott ChengHsin Yang, Tomas Folke 1101 Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning 0 Ling Yang, Shenda Hong 1102 Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion 0 Ling Yang, Shenda Hong 1103 Searching for BurgerFormer with Micro-Meso-Macro Space Design 0 Jilin Mei, Longxing Yang, Shun Lu, Xiaowei Li, Yinhe Han, Yu Hu, Zihao Sun 1104 Efficient Variance Reduction for Meta-learning 0 Hansi Yang, James T. Kwok 1105 Injecting Logical Constraints into Neural Networks via Straight-Through Estimators 0 Chiyoun Park, Joohyung Lee, Zhun Yang 1106 Locally Sparse Neural Networks for Tabular Biomedical Data 0 Junchen Yang, Ofir Lindenbaum, Yuval Kluger 1107 Not All Poisons are Created Equal: Robust Training against Data Poisoning 0 Baharan Mirzasoleiman, Tian Yu Liu, Yu Yang 1108 Does the Data Induce Capacity Control in Deep Learning? 0 Jialin Mao, Pratik Chaudhari, Rubing Yang 1109 Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity 0 Jianyi Yang, Shaolei Ren 1110 Linear Bandit Algorithms with Sublinear Time Complexity 0 Eric Price, Inderjit S. Dhillon, Sanjay Shakkottai, Shuo Yang, Sujay Sanghavi, Tongzheng Ren 1111 A New Perspective on the Effects of Spectrum in Graph Neural Networks 0 Baocai Yin, Heng Qi, Mingqi Yang, Qiang Zhang, Rui Li, Yanming Shen 1112 Fourier Learning with Cyclical Data 0 Chong Wang, Taiqing Wang, Tianyi Liu, Yingxiang Yang, Zhihan Xiong 1113 Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network 0 Bo Han, Erkun Yang, Gang Niu, Min Xu, Shuo Yang, Tongliang Liu, Yang Liu 1114 A Study of Face Obfuscation in ImageNet 0 Jacqueline H. Yau, Jia Deng, Kaiyu Yang, Li FeiFei, Olga Russakovsky 1115 Anarchic Federated Learning 0 Haibo Yang, Jia Liu, Prashant Khanduri, Xin Zhang 1116 Identity-Disentangled Adversarial Augmentation for Self-supervised Learning 0 Dacheng Tao, Kaiwen Yang, Tianyi Zhou, Xinmei Tian 1117 Learning from a Learning User for Optimal Recommendations 0 Chuanhao Li, Denis Nekipelov, Fan Yao, Haifeng Xu, Hongning Wang 1118 Improving Out-of-Distribution Robustness via Selective Augmentation 0 Chelsea Finn, Huaxiu Yao, James Zou, Linjun Zhang, Sai Li, Weixin Liang, Yu Wang 1119 NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework 0 Xiaocong Yang, Xingcheng Yao, Yanan Zheng, Zhilin Yang 1120 Feature Space Particle Inference for Neural Network Ensembles 0 Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Shingo Yashima, Teppei Suzuki 1121 Centroid Approximation for Bootstrap: Improving Particle Quality at Inference 0 Mao Ye, Qiang Liu 1122 Be Like Water: Adaptive Floating Point for Machine Learning 0 Alexander Ihler, Brandon Chuang, Max Sterner, Thomas Yeh, Zerlina Lai 1123 QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning 0 Gang Wang, Liping Yi, Xiaoguang Liu 1124 De novo mass spectrometry peptide sequencing with a transformer model 0 Melih Yilmaz, Sewoong Oh, William Fondrie, William S. Noble, Wout Bittremieux 1125 Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations 0 Fan Yin, Guanyu Hu, Jieying Jiao, Jun Yan 1126 Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization 0 Geon Park, Jaehong Yoon, Sung Ju Hwang, Wonyong Jeong 1127 ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks 0 Baopu Li, Haoran You, Huihong Shi, Yingyan Lin, Yonggan Fu 1128 Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks 0 Hongyang Gao, Zhaoning Yu 1129 Understanding Robust Overfitting of Adversarial Training and Beyond 0 Bo Han, Chaojian Yu, Chen Gong, Jun Yu, Li Shen, Mingming Gong, Tongliang Liu 1130 How to Leverage Unlabeled Data in Offline Reinforcement Learning 0 Aviral Kumar, Chelsea Finn, Karol Hausman, Sergey Levine, Tianhe Yu, Yevgen Chebotar 1131 Reachability Constrained Reinforcement Learning 0 Dongjie Yu, Haitong Ma, Jianyu Chen, Shengbo Li 1132 Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning 0 Ali Jannesari, Arya Mazaheri, Sixing Yu 1133 The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks 0 Shandian Zhe, Srikumar Ramalingam, Thiago Serra, Xin Yu 1134 GraphFM: Improving Large-Scale GNN Training via Feature Momentum 0 Bokun Wang, Haiyang Yu, Limei Wang, Meng Liu, Shuiwang Ji, Tianbao Yang 1135 Latent Diffusion Energy-Based Model for Interpretable Text Modelling 0 Baoxiong Jia, Bo Pang, Peiyu Yu, Ruiqi Gao, Sirui Xie, SongChun Zhu, Xiaojian Ma, Ying Nian Wu, Yixin Zhu 1136 Predicting Out-of-Distribution Error with the Projection Norm 0 Alexander Wei, Jacob Steinhardt, Yaodong Yu, Yi Ma, Zitong Yang 1137 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning 0 Haoqi Yuan, Zongqing Lu 1138 Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance 0 Denny Zhou, Lijun Zhang, Tianbao Yang, Xianzhi Du, Yuexin Wu, Zhuoning Yuan, ZiHao Qiu 1139 Neural Tangent Kernel Empowered Federated Learning 0 ChauWai Wong, Dror Baron, Huaiyu Dai, Kai Yue, Richeng Jin, Ryan Pilgrim 1140 Time Is MattEr: Temporal Self-supervision for Video Transformers 0 Dongyoon Han, Hwanjun Song, Jaehyung Kim, Jinwoo Shin, JungWoo Ha, Sukmin Yun 1141 Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images 0 Itay Benou, Michal Irani, Shiran Zada 1142 Adaptive Conformal Predictions for Time Series 0 Aymeric Dieuleveut, Julie Josse, Margaux Zaffran, Olivier Féron, Yannig Goude 1143 Actor-Critic based Improper Reinforcement Learning 0 Aditya Gopalan, Avi Mohan, Mohammadi Zaki, Shie Mannor 1144 Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning 0 Andrea Zanette, Martin J. 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Anagnostopoulos, Xi Zhang 1150 Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy 0 Jinfeng Yi, Mingyi Hong, Steven Wu, Xiangyi Chen, Xinwei Zhang 1151 Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs 0 Yikang Zhang, Zhao Zhong, Zhuo Chen 1152 PDE-Based Optimal Strategy for Unconstrained Online Learning 0 Ashok Cutkosky, Ioannis Ch. Paschalidis, Zhiyu Zhang 1153 Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function 0 Haoyuan Hu, Qixin Zhang, Yu Yang, Zaiyi Chen, Zengde Deng 1154 When and How Mixup Improves Calibration 0 James Zou, Kenji Kawaguchi, Linjun Zhang, Zhun Deng 1155 UAST: Uncertainty-Aware Siamese Tracking 0 Dawei Zhang, Yanwei Fu, Zhonglong Zheng 1156 Examining Scaling and Transfer of Language Model Architectures for Machine Translation 0 Ankur Bapna, Behrooz Ghorbani, Biao Zhang, Jonathan Shen, Orhan Firat, Xavier Garcia, Yong Cheng 1157 Revisiting End-to-End Speech-to-Text Translation From Scratch 0 Barry Haddow, Biao Zhang, Rico Sennrich 1158 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms 0 Mingyi Hong, Nicola Elia, Sairaj V. Dhople, Xinwei Zhang 1159 GALAXY: Graph-based Active Learning at the Extreme 0 Jifan Zhang, Julian KatzSamuels, Robert D. Nowak 1160 Fairness Interventions as (Dis)Incentives for Strategic Manipulation 0 Kun Jin, Mingyan Liu, Mohammad Mahdi Khalili, Parinaz Naghizadeh, Xueru Zhang 1161 Role-based Multiplex Network Embedding 0 Gang Kou, Hegui Zhang 1162 Dynamic Topic Models for Temporal Document Networks 0 Delvin Ce Zhang, Hady W. Lauw 1163 Personalized Federated Learning via Variational Bayesian Inference 0 Kaiyang Guo, Wenpeng Li, Xu Zhang, Yinchuan Li, Yunfeng Shao 1164 Federated Learning with Label Distribution Skew via Logits Calibration 0 Bo Li, Chao Wu, Jianghe Xu, Jie Zhang, Shouhong Ding, Shuang Wu, Zhiqi Li 1165 Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective 0 Ali Jadbabaie, Haochuan Li, Jingzhao Zhang, Suvrit Sra 1166 Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity 0 Ali Jadbabaie, Hongzhou Lin, Jingzhao Zhang, Subhro Das, Suvrit Sra 1167 Deep and Flexible Graph Neural Architecture Search 0 Bin Cui, Wentao Zhang, Yang Li, Yu Shen, Zheyu Lin, Zhi Yang 1168 A Langevin-like Sampler for Discrete Distributions 0 Qiang Liu, Ruqi Zhang, Xingchao Liu 1169 Rich Feature Construction for the Optimization-Generalization Dilemma 0 David LopezPaz, Jianyu Zhang, Léon Bottou 1170 Generative Flow Networks for Discrete Probabilistic Modeling 0 Aaron C. Courville, Alexandra Volokhova, Dinghuai Zhang, Nikolay Malkin, Yoshua Bengio, Zhen Liu 1171 Neurotoxin: Durable Backdoors in Federated Learning 0 Ashwinee Panda, Joseph Gonzalez, Kannan Ramchandran, Linyue Song, Michael W. Mahoney, Prateek Mittal, Yaoqing Yang, Zhengming Zhang 1172 Making Linear MDPs Practical via Contrastive Representation Learning 0 Bo Dai, Dale Schuurmans, Joseph Gonzalez, Mengjiao Yang, Tianjun Zhang, Tongzheng Ren 1173 NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning 0 Bin Cui, Mingyu Yang, Wentao Zhang, Yang Li, Yu Shen, Zeang Sheng, Zhi Yang 1174 Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations 0 Chelsea Finn, Christopher Ré, Hongyang R. Zhang, Michael Zhang, Nimit Sharad Sohoni 1175 Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach 0 Alekh Agarwal, Masatoshi Uehara, Mengdi Wang, Wen Sun, Xuezhou Zhang, Yuda Song 1176 Partial Counterfactual Identification from Observational and Experimental Data 0 Elias Bareinboim, Jin Tian, Junzhe Zhang 1177 Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets 0 John M. Higgins, Lily H. Zhang, Rajesh Ranganath, Veronica Tozzo 1178 Learning to Estimate and Refine Fluid Motion with Physical Dynamics 0 James B. Tlhomole, Jianhong Wang, Matthew D. Piggott, Mingrui Zhang 1179 A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks 0 ChoJui Hsieh, Huan Zhang, J. Zico Kolter, Kaidi Xu, Shiqi Wang, Suman Jana, Yihan Wang 1180 A Simple yet Universal Strategy for Online Convex Optimization 0 Guanghui Wang, Jinfeng Yi, Lijun Zhang, Tianbao Yang 1181 Low-Precision Stochastic Gradient Langevin Dynamics 0 Andrew Gordon Wilson, Christopher De Sa, Ruqi Zhang 1182 Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control 0 Bo Du, Jianqing Wu, Jun Shen, Liang Zhang, Linyuan Lü, Qiang Wu 1183 Uncertainty Modeling in Generative Compressed Sensing 0 Jian Wang, Mengchu Xu, Xiaojun Mao, Yilang Zhang 1184 Building Robust Ensembles via Margin Boosting 0 Aaron C. Courville, Arun Sai Suggala, Dinghuai Zhang, Hongyang Zhang, Pradeep Ravikumar, Yoshua Bengio 1185 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization 0 Guanhua Zhang, Mingyi Hong, Prashant Khanduri, Shiyu Chang, Sijia Liu, Yihua Zhang 1186 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory 0 Chengzhuo Ni, Mengdi Wang, Ruiqi Zhang, Xuezhou Zhang 1187 ROCK: Causal Inference Principles for Reasoning about Commonsense Causality 0 Dan Roth, Hongming Zhang, Jiayao Zhang, Weijie J. Su 1188 No-Regret Learning in Time-Varying Zero-Sum Games 0 Haipeng Luo, Mengxiao Zhang, Peng Zhao, ZhiHua Zhou 1189 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance 0 Alexander Bukharin, Chen Liang, Pengcheng He, Qingru Zhang, Simiao Zuo, Tuo Zhao, Weizhu Chen 1190 NysADMM: faster composite convex optimization via low-rank approximation 0 Madeleine Udell, Shipu Zhao, Zachary Frangella 1191 Toward Compositional Generalization in Object-Oriented World Modeling 0 Lawson L. S. Wong, Linfeng Zhao, Lingzhi Kong, Robin Walters 1192 Dynamic Regret of Online Markov Decision Processes 0 Longfei Li, Peng Zhao, ZhiHua Zhou 1193 Learning to Solve PDE-constrained Inverse Problems with Graph Networks 0 David B. Lindell, Gordon Wetzstein, Qingqing Zhao 1194 Learning from Counterfactual Links for Link Prediction 0 Daheng Wang, Gang Liu, Meng Jiang, Tong Zhao, Wenhao Yu 1195 Global Optimization Networks 0 Erez Louidor, Maya R. Gupta, Sen Zhao 1196 Certified Robustness Against Natural Language Attacks by Causal Intervention 0 Anh Tuan Luu, Chang Ma, Haiteng Zhao, Hanwang Zhang, Xinshuai Dong, ZhiHong Deng 1197 Efficient Learning for AlphaZero via Path Consistency 0 Dengwei Zhao, Lei Xu, Shikui Tu 1198 Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning 0 Hao Zhang, Xiuyuan Hu, Yang Zhao 1199 Ripple Attention for Visual Perception with Sub-quadratic Complexity 0 Huijie Pan, Lin Zheng, Lingpeng Kong 1200 Linear Complexity Randomized Self-attention Mechanism 0 Chong Wang, Lin Zheng, Lingpeng Kong 1201 Online Decision Transformer 0 Aditya Grover, Amy Zhang, Qinqing Zheng 1202 Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks 0 Edwin V. Bonilla, Fabio Ramos, Lionel Ott, Tin Lai, Weiming Zhi 1203 HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning 0 Andrey Zhmoginov, Maksym Vladymyrov, Mark Sandler 1204 Describing Differences between Text Distributions with Natural Language 0 Charlie Snell, Dan Klein, Jacob Steinhardt, Ruiqi Zhong 1205 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets 0 Han Zhong, Jiyuan Tan, Liwei Wang, Tong Zhang, Wei Xiong, Zhaoran Wang, Zhuoran Yang 1206 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization 0 Dongruo Zhou, Quanquan Gu 1207 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines 0 Weichao Zhou, Wenchao Li 1208 On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features 0 Chong You, Jinxin Zhou, Qing Qu, Tianyu Ding, Xiao Li, Zhihui Zhu 1209 Model Agnostic Sample Reweighting for Out-of-Distribution Learning 0 Peng Cui, Renjie Pi, Renzhe Xu, Tong Zhang, Weizhong Zhang, Xiao Zhou, Yong Lin 1210 Sparse Invariant Risk Minimization 0 Tong Zhang, Weizhong Zhang, Xiao Zhou, Yong Lin 1211 Prototype-Anchored Learning for Learning with Imperfect Annotations 0 Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu, Xin Gao, Xiong Zhou 1212 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting 0 Liang Sun, Qingsong Wen, Rong Jin, Tian Zhou, Xue Wang, Ziqing Ma 1213 Probabilistic Bilevel Coreset Selection 0 Renjie Pi, Tong Zhang, Weizhong Zhang, Xiao Zhou, Yong Lin, Zonghao Chen 1214 Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets 0 Baojian Zhou, Yifan Sun 1215 Improving Adversarial Robustness via Mutual Information Estimation 0 Bo Han, Dawei Zhou, Nannan Wang, Tongliang Liu, Xiaoyu Wang, Xinbo Gao, Yibing Zhan 1216 Modeling Adversarial Noise for Adversarial Training 0 Bo Han, Dawei Zhou, Nannan Wang, Tongliang Liu 1217 Contrastive Learning with Boosted Memorization 0 Bo Han, Jiangchao Yao, Ya Zhang, Yanfeng Wang, Zhihan Zhou 1218 Understanding The Robustness in Vision Transformers 0 Animashree Anandkumar, Chaowei Xiao, Daquan Zhou, Enze Xie, Jiashi Feng, José M. Álvarez, Zhiding Yu 1219 VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training 0 Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Yan Zeng 1220 Detecting Corrupted Labels Without Training a Model to Predict 0 Yang Liu, Zhaowei Zhu, Zihao Dong 1221 Contextual Bandits with Large Action Spaces: Made Practical 0 Dylan J. Foster, John Langford, Paul Mineiro, Yinglun Zhu 1222 Neural-Symbolic Models for Logical Queries on Knowledge Graphs 0 Jian Tang, Mikhail Galkin, Zhaocheng Zhu, Zuobai Zhang 1223 Topology-aware Generalization of Decentralized SGD 0 Dacheng Tao, Fengxiang He, Lan Zhang, Mingli Song, Tongtian Zhu, Zhengyang Niu 1224 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems 0 Jiayu Zhou, Junyuan Hong, Steve Drew, Zhuangdi Zhu 1225 On Numerical Integration in Neural Ordinary Differential Equations 0 Aiqing Zhu, Beibei Zhu, Pengzhan Jin, Yifa Tang 1226 When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee 0 Bokun Wang, Dixian Zhu, Gang Li, Tianbao Yang, Xiaodong Wu 1227 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces 0 Paul Mineiro, Yinglun Zhu 1228 Residual-Based Sampling for Online Outlier-Robust PCA 0 Jie Shen, Tianhao Zhu 1229 Region-Based Semantic Factorization in GANs 0 Deli Zhao, Jiapeng Zhu, Qifeng Chen, Yinghao Xu, Yujun Shen 1230 Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features 0 Jialu Wang, Yang Liu, Zhaowei Zhu 1231 Towards Uniformly Superhuman Autonomy via Subdominance Minimization 0 Brian D. Ziebart, Paul Vernaza, Sanjiban Choudhury, Xinyan Yan 1232 Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm 0 Boaz Nadler, Pini Zilber 1233 Counterfactual Prediction for Outcome-Oriented Treatments 0 Bo Li, Hao Zou, Jiangang Han, Peng Cui, Shuiping Chen, Xuetao Ding 1234 SpaceMAP: Visualizing High-Dimensional Data by Space Expansion 0 Qian Tao, Xinrui Zu