Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods

21 February 2019

Papers citing "Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods"

9 / 59 papers shown

Title
Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Digvijay Boob Qi Deng Guanghui Lan 39 92 0 07 Aug 2019
Efficient Algorithms for Smooth Minimax Optimization K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 22 190 0 02 Jul 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad B. Li AAML 25 35 0 09 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games K. Zhang Zhuoran Yang Tamer Basar 19 125 0 31 May 2019
Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning Hassan Rafique Mingrui Liu Qihang Lin Tianbao Yang 15 107 0 04 Oct 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Frank-Wolfe Algorithms for Saddle Point Problems Gauthier Gidel Tony Jebara Simon Lacoste-Julien 37 70 0 25 Oct 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016