An Optimal Multistage Stochastic Gradient Method for Minimax Problems

An Optimal Multistage Stochastic Gradient Method for Minimax Problems

13 February 2020

Asuman Ozdaglar

Papers citing "An Optimal Multistage Stochastic Gradient Method for Minimax Problems"

7 / 7 papers shown

Title
On the convergence of single-call stochastic extra-gradient methods Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos 50 169 0 22 Aug 2019
Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim Waïss Azizian Gauthier Gidel Ioannis Mitliagkas 53 10 0 17 Jun 2019
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach Aryan Mokhtari Asuman Ozdaglar S. Pattathil 85 328 0 24 Jan 2019
Training GANs with Optimism C. Daskalakis Andrew Ilyas Vasilis Syrgkanis Haoyang Zeng 143 517 0 31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017
Stochastic Variance Reduction Methods for Saddle-Point Problems B. Palaniappan Francis R. Bach 115 212 0 20 May 2016
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Francis R. Bach Eric Moulines 87 405 0 10 Jun 2013