Minimax Optimization with Smooth Algorithmic Adversaries

2 June 2021

Papers citing "Minimax Optimization with Smooth Algorithmic Adversaries"

6 / 6 papers shown

Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 52 7 0 28 Jan 2025
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 24 5 0 09 Jan 2023
Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints Hui-Li Zhang Junlin Wang Zi Xu Y. Dai 88 4 0 09 Dec 2022
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 34 21 0 18 Oct 2022
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach Yuanhao Wang Guodong Zhang Jimmy Ba 33 100 0 16 Oct 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016