{"total":24,"rows":[{"id":"2203.04850","title":"Federated Minimax Optimization: Improved Convergence Analyses and Algorithms","created":"2022-03-09","cited_by_count":37,"area":null},{"id":"2306.12067","title":"Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions","created":"2023-06-21","cited_by_count":31,"area":null},{"id":"2102.04653","title":"Proximal Gradient Descent-Ascent: Variable Convergence under K{\\L} Geometry","created":"2021-02-09","cited_by_count":18,"area":null},{"id":"2206.10414","title":"A Single-Timescale Analysis For Stochastic Approximation With Multiple Coupled Sequences","created":"2022-06-21","cited_by_count":17,"area":null},{"id":"2305.17568","title":"Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities","created":"2023-05-27","cited_by_count":15,"area":null},{"id":"2104.14840","title":"Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator","created":"2021-04-30","cited_by_count":13,"area":null},{"id":"2110.04814","title":"Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization","created":"2021-10-10","cited_by_count":12,"area":null},{"id":"2212.02724","title":"Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems","created":"2022-12-06","cited_by_count":11,"area":null},{"id":"2301.02060","title":"A first-order augmented Lagrangian method for constrained minimax optimization","created":"2023-01-05","cited_by_count":8,"area":null},{"id":"2302.04249","title":"Federated Minimax Optimization with Client Heterogeneity","created":"2023-02-08","cited_by_count":8,"area":null},{"id":"2304.10101","title":"Federated Compositional Deep AUC Maximization","created":"2023-04-20","cited_by_count":8,"area":null},{"id":"2405.00965","title":"Robust Decentralized Learning with Local Updates and Gradient Tracking","created":"2024-05-02","cited_by_count":8,"area":null},{"id":"2201.10447","title":"Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization","created":"2022-01-25","cited_by_count":7,"area":null},{"id":"2210.09382","title":"Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems","created":"2022-10-17","cited_by_count":7,"area":null},{"id":"2212.02387","title":"An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization","created":"2022-12-05","cited_by_count":6,"area":null},{"id":"2110.07098","title":"A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization","created":"2021-10-14","cited_by_count":5,"area":null},{"id":"2303.02532","title":"PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities","created":"2023-03-05","cited_by_count":5,"area":null},{"id":"2112.11663","title":"Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning","created":"2021-12-22","cited_by_count":4,"area":null},{"id":"2311.00944","title":"Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization","created":"2023-11-02","cited_by_count":4,"area":null},{"id":"2111.13162","title":"Randomized Stochastic Gradient Descent Ascent","created":"2021-11-25","cited_by_count":3,"area":null},{"id":"2105.14216","title":"CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems","created":"2021-05-29","cited_by_count":2,"area":null},{"id":"2308.09604","title":"Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization","created":"2023-08-18","cited_by_count":2,"area":null},{"id":"2212.04672","title":"Iterative Minimax Games with Coupled Linear Constraints","created":"2022-12-09","cited_by_count":0,"area":null},{"id":"2512.22909","title":"A first-order method for nonconvex-strongly-concave constrained minimax optimization","created":"2025-12-28","cited_by_count":0,"area":null}],"next_cursor":null}