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Global Convergence to the Equilibrium of GANs using Variational
  Inequalities

Global Convergence to the Equilibrium of GANs using Variational Inequalities

4 August 2018
I. Gemp
Sridhar Mahadevan
ArXivPDFHTML

Papers citing "Global Convergence to the Equilibrium of GANs using Variational Inequalities"

11 / 11 papers shown
Title
Finding mixed-strategy equilibria of continuous-action games without
  gradients using randomized policy networks
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks
Carlos Martin
T. Sandholm
26
11
0
29 Nov 2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology,
  and Application
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
Risheng Liu
Jiaxin Gao
Xuan Liu
Xin-Yue Fan
29
4
0
20 May 2022
Causal Inference in Network Economics
Causal Inference in Network Economics
Sridhar Mahadevan
CML
19
6
0
20 Sep 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player
  General-sum Linear-quadratic Games
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
B. Hambly
Renyuan Xu
Huining Yang
13
25
0
27 Jul 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
E. Ponti
Rahul Aralikatte
Disha Shrivastava
Siva Reddy
Anders Søgaard
32
16
0
02 Jun 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo
Boyang Albert Li
Han Yu
C. Miao
AAML
14
17
0
19 Apr 2021
Training Generative Adversarial Networks by Solving Ordinary
  Differential Equations
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
Chongli Qin
Yan Wu
Jost Tobias Springenberg
Andrew Brock
Jeff Donahue
Timothy Lillicrap
Pushmeet Kohli
GAN
22
28
0
28 Oct 2020
EigenGame: PCA as a Nash Equilibrium
EigenGame: PCA as a Nash Equilibrium
I. Gemp
Brian McWilliams
Claire Vernade
T. Graepel
13
46
0
01 Oct 2020
Higher-order methods for convex-concave min-max optimization and
  monotone variational inequalities
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities
Brian Bullins
Kevin A. Lai
17
36
0
09 Jul 2020
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
11
36
0
26 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
29
79
0
13 May 2019
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