Theory

Model Interpretability through the lens of Computational Complexity NeurIPS 2020 Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 More Powerful Selective Kernel Tests for Feature Selection AISTATS 2020 Most ReLU Networks Suffer from ℓ^2 Adversarial Perturbations NeurIPS 2020 Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? NeurIPS 2020 Multipole Graph Neural Operator for Parametric Partial Differential Equations NeurIPS 2020 Network size and size of the weights in memorization with two-layers neural networks NeurIPS 2020 Neural Execution Engines: Learning to Execute Subroutines NeurIPS 2020 Neural Kernels Without Tangents ICML 2020 Neural Networks Fail to Learn Periodic Functions and How to Fix It NeurIPS 2020 Neural Networks with Small Weights and Depth-Separation Barriers NeurIPS 2020 Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning NeurIPS 2020 Neural Policy Gradient Methods: Global Optimality and Rates of Convergence ICLR 2020 Neural tangent kernels, transportation mappings, and universal approximation ICLR 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 New Potential-Based Bounds for Prediction with Expert Advice COLT 2020 Nice Invincible Strategy for the Average-Payoff IPD AAAI 2020 Noise Accumulation in High Dimensional Classification and Total Signal Index JMLR 2020 Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors NeurIPS 2020 Non-Convex SGD Learns Halfspaces with Adversarial Label Noise NeurIPS 2020 Non-Euclidean Universal Approximation NeurIPS 2020 No-Regret Exploration in Goal-Oriented Reinforcement Learning ICML 2020 Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020 On 1/n neural representation and robustness NeurIPS 2020 On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020