minimax optimization

Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NeurIPS 2022 What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS 2022 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021 Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously ICML 2021 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 A Faster Decentralized Algorithm for Nonconvex Minimax Problems NeurIPS 2021 A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021 Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems NeurIPS 2021 Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems NeurIPS 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021 Learning A Minimax Optimizer: A Pilot Study ICLR 2021 Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency AISTATS 2021 Minimax Adaptive Control for a Finite Set of Linear Systems L4DC 2021 Minimax Model Learning AISTATS 2021 Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers NeurIPS 2021 Modeling the Second Player in Distributionally Robust Optimization ICLR 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method IJCAI 2021 On the Optimality of Batch Policy Optimization Algorithms ICML 2021 On the Suboptimality of Negative Momentum for Minimax Optimization AISTATS 2021 Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021 Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry ICLR 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021