Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization

28 January 2025

Papers citing "Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization"

7 / 7 papers shown

Title
Negative Stepsizes Make Gradient-Descent-Ascent Converge Henry Shugart Jason M. Altschuler 17 0 0 02 May 2025
$O(1/k)$ Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation Siddharth Chandak 21 0 0 27 Apr 2025
Non-Expansive Mappings in Two-Time-Scale Stochastic Approximation: Finite-Time Analysis Siddharth Chandak 37 1 0 18 Jan 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis Jiajin Li Lingling Zhu Anthony Man-Cho So 38 4 0 17 Jan 2025
Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Zhenyu Wang Yifan Hu Peter Buhlmann Zijian Guo 85 1 0 16 Dec 2024
Stochastic Variance Reduction for Variational Inequality Methods Ahmet Alacaoglu Yura Malitsky 51 61 0 16 Feb 2021
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 99 570 0 08 Dec 2012