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Finding Mixed Nash Equilibria of Generative Adversarial Networks
23 October 2018
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
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Papers citing
"Finding Mixed Nash Equilibria of Generative Adversarial Networks"
19 / 19 papers shown
Title
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games
Yulong Lu
Pierre Monmarché
MLT
29
0
0
12 May 2025
Expected Variational Inequalities
B. Zhang
Ioannis Anagnostides
Emanuel Tewolde
Ratip Emin Berker
Gabriele Farina
Vincent Conitzer
T. Sandholm
156
0
0
25 Feb 2025
Nested Annealed Training Scheme for Generative Adversarial Networks
Chang Wan
Ming-Hsuan Yang
Minglu Li
Yunliang Jiang
Zhonglong Zheng
GAN
38
0
0
20 Jan 2025
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen
Tetsuya Sakurai
Hiroshi Mamitsuka
40
0
0
25 Oct 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
24
6
0
15 Jun 2023
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Chao Ma
Lexing Ying
MLT
27
11
0
15 Feb 2022
Simultaneous Transport Evolution for Minimax Equilibria on Measures
Carles Domingo-Enrich
Joan Bruna
16
3
0
14 Feb 2022
Improving GAN Equilibrium by Raising Spatial Awareness
Jianyuan Wang
Ceyuan Yang
Yinghao Xu
Yujun Shen
Hongdong Li
Bolei Zhou
GAN
20
30
0
01 Dec 2021
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff
Anna Korba
Franccois Portier
16
12
0
29 Oct 2021
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective
Sharif Amit Kamran
S. Sengupta
Alireza Tavakkoli
GAN
AAML
17
6
0
04 Aug 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
Senthilnath Jayavelu
Xiaoli Li
29
8
0
17 Feb 2021
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
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
Kamélia Daudel
Randal Douc
Franccois Portier
6
17
0
20 May 2020
GANs May Have No Nash Equilibria
Farzan Farnia
Asuman Ozdaglar
GAN
20
43
0
21 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban
Yu-ting Huang
Ya-Ping Hsieh
Paul Rolland
C. Shi
V. Cevher
23
59
0
14 Feb 2020
Invariant Risk Minimization Games
Kartik Ahuja
Karthikeyan Shanmugam
Kush R. Varshney
Amit Dhurandhar
OOD
14
242
0
11 Feb 2020
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
25
83
0
30 Sep 2019
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez
Armin Eftekhari
V. Cevher
GAN
25
43
0
07 Jul 2019
Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
10
43
0
18 Jun 2018
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