The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities

5 July 2021

Papers citing "The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities"

9 / 9 papers shown

Title
Adaptively Perturbed Mirror Descent for Learning in Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Atsushi Iwasaki 21 5 0 26 May 2023
The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness Waïss Azizian F. Iutzeler J. Malick P. Mertikopoulos 6 1 0 15 Nov 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games Angeliki Giannou Kyriakos Lotidis P. Mertikopoulos Emmanouil-Vasileios Vlatakis-Gkaragkounis 13 17 0 17 Oct 2022
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Kenta Toyoshima Atsushi Iwasaki 26 11 0 21 Aug 2022
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation Yu-Guan Hsieh Kimon Antonakopoulos V. Cevher P. Mertikopoulos 26 26 0 13 Jun 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov Eduard A. Gorbunov Hugo Berard Nicolas Loizou 19 47 0 15 Feb 2022
Extragradient Method: $O(1/K)$ Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity Eduard A. Gorbunov Nicolas Loizou Gauthier Gidel 23 64 0 08 Oct 2021
Near-Optimal No-Regret Learning in General Games C. Daskalakis Maxwell Fishelson Noah Golowich 22 102 0 16 Aug 2021
Adaptive first-order methods revisited: Convex optimization without Lipschitz requirements Kimon Antonakopoulos P. Mertikopoulos 9 12 0 16 Jul 2021