Theory

Learning to Correlate in Multi-Player General-Sum Sequential Games NeurIPS 2019 Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity AISTATS 2019 Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019 Lower Bounds for Parallel and Randomized Convex Optimization COLT 2019 Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models COLT 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NeurIPS 2019 Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit COLT 2019 Measuring the Likelihood of Numerical Constraints IJCAI 2019 Metadata-driven Task Relation Discovery for Multi-task Learning IJCAI 2019 Misleading Failures of Partial-input Baselines ACL 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019 Model Similarity Mitigates Test Set Overuse NeurIPS 2019 Moral Permissibility of Action Plans AAAI 2019 Multiagent Evaluation under Incomplete Information NeurIPS 2019 Multilabel reductions: what is my loss optimising? NeurIPS 2019 Multi-Population Congestion Games With Incomplete Information IJCAI 2019 Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit AISTATS 2019 Necessary and Sufficient Geometries for Gradient Methods NeurIPS 2019 Neural Chinese Address Parsing NAACL 2019 Neural Logic Machines ICLR 2019 Neural Models of the Psychosemantics of ‘Most’ NAACL 2019