Theory

Margin of Victory in Tournaments: Structural and Experimental Results AAAI 2021 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021 Measuring and Improving Faithfulness of Attention in Neural Machine Translation EACL 2021 Measuring Robustness in Deep Learning Based Compressive Sensing ICML 2021 Meta-Learning with Neural Tangent Kernels ICLR 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Minimum Width for Universal Approximation ICLR 2021 Mining EL Bases with Adaptable Role Depth AAAI 2021 Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks COLT 2021 Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NeurIPS 2021 Mode recovery in neural autoregressive sequence modeling ACL 2021 More Identifiable yet Equally Performant Transformers for Text Classification ACL 2021 Multi-Agent Belief Base Revision IJCAI 2021 Multiple Sound Source Localization Based on Interchannel Phase Differences in All Frequencies with Spectral Masks Interspeech 2021 Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021 MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations AAAI 2021 Narrow Margins: Classification, Margins and Fat Tails ICML 2021 Nearly Horizon-Free Offline Reinforcement Learning NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NeurIPS 2021 Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness NeurIPS 2021 Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Near-tight Closure Bounds for the Littlestone and Threshold Dimensions ALT 2021