Learning Theory

Reverse Engineering the Neural Tangent Kernel ICML 2022 Revisiting Neural Scaling Laws in Language and Vision NeurIPS 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 Revisiting Over-smoothing in BERT from the Perspective of Graph ICLR 2022 Revisiting the Compositional Generalization Abilities of Neural Sequence Models ACL 2022 Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes ICML 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 Robust identifiability in linear structural equation models of causal inference UAI 2022 RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners EMNLP 2022 Robust Model Selection and Nearly-Proper Learning for GMMs NeurIPS 2022 Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022 Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) NeurIPS 2022 Robustness to Label Noise Depends on the Shape of the Noise Distribution NeurIPS 2022 Robust Product Classification with Instance-Dependent Noise ACL 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks IJCAI 2022 Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search NeurIPS 2022 Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022 Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty L4DC 2022 Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information COLT 2022 Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022 Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization NeurIPS 2022 Scale-free Unconstrained Online Learning for Curved Losses COLT 2022 Scaling Laws from the Data Manifold Dimension JMLR 2022 Scaling Up Influence Functions AAAI 2022