Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective

17 December 2022

Papers citing "Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective"

12 / 12 papers shown

Title
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games Yulong Lu Pierre Monmarché MLT 31 0 0 12 May 2025
Negative Stepsizes Make Gradient-Descent-Ascent Converge Henry Shugart Jason M. Altschuler 22 0 0 02 May 2025
A Fisher-Rao gradient flow for entropic mean-field min-max games Razvan-Andrei Lascu Mateusz B. Majka Lukasz Szpruch MLT AI4CE 35 1 0 24 May 2024
Mirror Descent-Ascent for mean-field min-max problems Razvan-Andrei Lascu Mateusz B. Majka Lukasz Szpruch 27 1 0 12 Feb 2024
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems Juno Kim Kakei Yamamoto Kazusato Oko Zhuoran Yang Taiji Suzuki 32 9 0 02 Dec 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows Lauren E. Conger Franca Hoffmann Eric Mazumdar Lillian J. Ratliff 24 4 0 03 Jul 2023
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium Shihong Ding Hanze Dong Cong Fang Zhouchen Lin Tong Zhang 27 1 0 02 Mar 2023
Birth-death dynamics for sampling: Global convergence, approximations and their asymptotics Yulong Lu D. Slepčev Lihan Wang 32 22 0 01 Nov 2022
Proximal Mean Field Learning in Shallow Neural Networks Alexis M. H. Teter Iman Nodozi A. Halder FedML 40 1 0 25 Oct 2022
Convex Analysis of the Mean Field Langevin Dynamics Atsushi Nitanda Denny Wu Taiji Suzuki MLT 61 64 0 25 Jan 2022
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 32 6 0 11 Jul 2021
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 59 118 0 02 May 2018