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Poincaré Recurrence, Cycles and Spurious Equilibria in
  Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games

Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games

28 October 2019
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
    MLT
ArXivPDFHTML

Papers citing "Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games"

33 / 33 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
277
30,109
0
01 Mar 2022
Last-iterate convergence rates for min-max optimization
Last-iterate convergence rates for min-max optimization
Jacob D. Abernethy
Kevin A. Lai
Andre Wibisono
81
74
0
05 Jun 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with
  Non-Vanishing Step Sizes
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
James P. Bailey
Georgios Piliouras
31
31
0
11 May 2019
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System
James P. Bailey
Georgios Piliouras
57
40
0
05 Mar 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin
Praneeth Netrapalli
Michael I. Jordan
94
84
0
02 Feb 2019
Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz
  Condition
Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition
Maziar Sanjabi
Meisam Razaviyayn
Jason D. Lee
46
35
0
07 Dec 2018
Gradient Descent Finds Global Minima of Deep Neural Networks
Gradient Descent Finds Global Minima of Deep Neural Networks
S. Du
Jason D. Lee
Haochuan Li
Liwei Wang
Masayoshi Tomizuka
ODL
201
1,135
0
09 Nov 2018
Negative Momentum for Improved Game Dynamics
Negative Momentum for Improved Game Dynamics
Gauthier Gidel
Reyhane Askari Hemmat
Mohammad Pezeshki
Rémi Le Priol
Gabriel Huang
Simon Lacoste-Julien
Ioannis Mitliagkas
AI4CE
66
180
0
12 Jul 2018
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max
  Optimization
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization
C. Daskalakis
Ioannis Panageas
67
178
0
11 Jul 2018
The Limit Points of (Optimistic) Gradient Descent in Min-Max
  Optimization
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
C. Daskalakis
Ioannis Panageas
69
256
0
11 Jul 2018
Optimistic mirror descent in saddle-point problems: Going the extra
  (gradient) mile
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P. Mertikopoulos
Bruno Lecouat
Houssam Zenati
Chuan-Sheng Foo
V. Chandrasekhar
Georgios Piliouras
132
295
0
07 Jul 2018
Beyond Local Nash Equilibria for Adversarial Networks
Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
57
43
0
18 Jun 2018
The Unusual Effectiveness of Averaging in GAN Training
The Unusual Effectiveness of Averaging in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
Georgios Piliouras
V. Chandrasekhar
106
175
0
12 Jun 2018
Local Saddle Point Optimization: A Curvature Exploitation Approach
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs
Hadi Daneshmand
Aurelien Lucchi
Thomas Hofmann
121
107
0
15 May 2018
Fictitious GAN: Training GANs with Historical Models
Fictitious GAN: Training GANs with Historical Models
Hao Ge
Yin Xia
Xu Chen
R. Berry
Ying Nian Wu
AI4CE
GAN
94
29
0
23 Mar 2018
A Variational Inequality Perspective on Generative Adversarial Networks
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel
Hugo Berard
Gaëtan Vignoud
Pascal Vincent
Simon Lacoste-Julien
GAN
133
353
0
28 Feb 2018
The Mechanics of n-Player Differentiable Games
The Mechanics of n-Player Differentiable Games
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
MLT
84
274
0
15 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
81
1,465
0
13 Jan 2018
Training GANs with Optimism
Training GANs with Optimism
C. Daskalakis
Andrew Ilyas
Vasilis Syrgkanis
Haoyang Zeng
173
519
0
31 Oct 2017
Cycles in adversarial regularized learning
Cycles in adversarial regularized learning
P. Mertikopoulos
Christos H. Papadimitriou
Georgios Piliouras
58
321
0
08 Sep 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
100
1,154
0
31 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora
Rong Ge
Yingyu Liang
Tengyu Ma
Yi Zhang
GAN
54
688
0
02 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
AdaGAN: Boosting Generative Models
AdaGAN: Boosting Generative Models
Ilya O. Tolstikhin
Sylvain Gelly
Olivier Bousquet
Carl-Johann Simon-Gabriel
Bernhard Schölkopf
GAN
46
226
0
09 Jan 2017
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
118
2,725
0
10 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
323
19,651
0
21 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
100
1,004
0
07 Nov 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods
Connecting Generative Adversarial Networks and Actor-Critic Methods
David Pfau
Oriol Vinyals
OffRL
AI4CE
73
186
0
06 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,693
0
15 Sep 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
480
9,052
0
10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
258
14,012
0
19 Nov 2015
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
139
2,193
0
10 Jun 2014
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