Showing 1–20 of 21 results
/ Date/ Name
Oct 21, 2023A Specialized Semismooth Newton Method for Kernel-Based Optimal TransportOct 21, 2023Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient FeedbackJun 29, 2023Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium ComputationFeb 21, 2023A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective LearningSep 26, 2022On the Complexity of Deterministic Nonsmooth and Nonconvex OptimizationSep 12, 2022Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex OptimizationJun 9, 2022A Continuous-Time Perspective on Global Acceleration for Monotone Equation ProblemsMay 15, 2022Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit FeedbackMay 6, 2022Perseus: A Simple and Optimal High-Order Method for Variational InequalitiesApr 7, 2022First-Order Algorithms for Nonlinear Generalized Nash Equilibrium ProblemsNov 15, 2021Monotone Inclusions, Acceleration and Closed-Loop ControlMar 24, 2021A Variational Inequality Approach to Bayesian Regression GamesJun 22, 2020On Projection Robust Optimal Transport: Sample Complexity and Model MisspecificationMay 22, 2020Instability, Computational Efficiency and Statistical AccuracyFeb 23, 2020Finite-Time Last-Iterate Convergence for Multi-Agent Learning in GamesSep 30, 2019On the Complexity of Approximating Multimarginal Optimal TransportJun 1, 2019On the Efficiency of Entropic Regularized Algorithms for Optimal TransportFeb 1, 2019Sharp Analysis of Expectation-Maximization for Weakly Identifiable ModelsJan 19, 2019On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent AlgorithmsOct 1, 2018Singularity, Misspecification, and the Convergence Rate of EM