gradient descent ascent

Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING ICLR 2022 Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs ICLR 2022 Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems ALT 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization NeurIPS 2022 On the Initialization for Convex-Concave Min-max Problems ALT 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games NeurIPS 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games NeurIPS 2021 Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games COLT 2021 Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation ICLR 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method IJCAI 2021 Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry ICLR 2021 Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NeurIPS 2021 Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021 A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems NeurIPS 2020 A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020 Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NeurIPS 2020 On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems ICML 2020 Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems NeurIPS 2020 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020