Theory

Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020 Stable Rank Normalization for Improved Generalization in Neural Networks and GANs ICLR 2020 Statistical Learning with a Nuisance Component (Extended Abstract) IJCAI 2020 Steady State Analysis of Episodic Reinforcement Learning NeurIPS 2020 Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020 Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio IJCAI 2020 Style versus Content: A distinction without a (learnable) difference? COLING 2020 Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent ICML 2020 Syntactic Search by Example ACL 2020 Synthesizing strategies under expected and exceptional environment behaviors IJCAI 2020 TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task ACL 2020 Tails of Lipschitz Triangular Flows ICML 2020 Taming Discrete Integration via the Boon of Dimensionality NeurIPS 2020 Target-Embedding Autoencoders for Supervised Representation Learning ICLR 2020 Temporal Logics Over Finite Traces with Uncertainty AAAI 2020 Tensor Networks for Medical Image Classification MIDL 2020 TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation COLING 2020 Testing Determinantal Point Processes NeurIPS 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise NeurIPS 2020 The Complexity of Computing Maximin Share Allocations on Graphs AAAI 2020 The Complexity of Finding Stationary Points with Stochastic Gradient Descent ICML 2020 The Computational Complexity of Angry Birds (Extended Abstract) IJCAI 2020 The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification NeurIPS 2020 The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers ICML 2020