Improved Algorithms for Convex-Concave Minimax Optimization

11 June 2020

Papers citing "Improved Algorithms for Convex-Concave Minimax Optimization"

7 / 7 papers shown

Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 36 0 0 18 Oct 2024
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 18 2 0 06 Jan 2023
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization D. Kovalev Alexander Gasnikov 29 15 0 11 May 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 21 47 0 09 Mar 2022
Linear Adversarial Concept Erasure Shauli Ravfogel Michael Twiton Yoav Goldberg Ryan Cotterell KELM 81 57 0 28 Jan 2022
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems Thinh T. Doan 20 15 0 17 Dec 2021
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity S. Du Wei Hu 58 120 0 05 Feb 2018