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A mean-field analysis of two-player zero-sum games

A mean-field analysis of two-player zero-sum games

14 February 2020
Carles Domingo-Enrich
Samy Jelassi
A. Mensch
Grant M. Rotskoff
Joan Bruna
    MLT
ArXivPDFHTML

Papers citing "A mean-field analysis of two-player zero-sum games"

8 / 8 papers shown
Title
Expected Variational Inequalities
Expected Variational Inequalities
B. Zhang
Ioannis Anagnostides
Emanuel Tewolde
Ratip Emin Berker
Gabriele Farina
Vincent Conitzer
T. Sandholm
159
0
0
25 Feb 2025
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
Mo Zhou
Jian-Xiong Lu
30
7
0
11 Feb 2023
On adversarial robustness and the use of Wasserstein ascent-descent
  dynamics to enforce it
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it
Camilo A. Garcia Trillos
Nicolas García Trillos
16
5
0
09 Jan 2023
Proximal Mean Field Learning in Shallow Neural Networks
Proximal Mean Field Learning in Shallow Neural Networks
Alexis M. H. Teter
Iman Nodozi
A. Halder
FedML
43
1
0
25 Oct 2022
Simultaneous Transport Evolution for Minimax Equilibria on Measures
Carles Domingo-Enrich
Joan Bruna
16
3
0
14 Feb 2022
Dual Training of Energy-Based Models with Overparametrized Shallow
  Neural Networks
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
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient
  Flow
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh
Truyen V. Nguyen
29
25
0
04 Nov 2020
The limits of min-max optimization algorithms: convergence to spurious
  non-critical sets
The limits of min-max optimization algorithms: convergence to spurious non-critical sets
Ya-Ping Hsieh
P. Mertikopoulos
V. Cevher
27
81
0
16 Jun 2020
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