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Newton-type Methods for Minimax Optimization

Newton-type Methods for Minimax Optimization

25 June 2020
Guojun Zhang
Kaiwen Wu
Pascal Poupart
Yaoliang Yu
ArXivPDFHTML

Papers citing "Newton-type Methods for Minimax Optimization"

6 / 6 papers shown
Title
GANs May Have No Nash Equilibria
GANs May Have No Nash Equilibria
Farzan Farnia
Asuman Ozdaglar
GAN
42
43
0
21 Feb 2020
On the convergence of single-call stochastic extra-gradient methods
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
35
169
0
22 Aug 2019
Convergence of Gradient Methods on Bilinear Zero-Sum Games
Convergence of Gradient Methods on Bilinear Zero-Sum Games
Guojun Zhang
Yaoliang Yu
38
37
0
15 Aug 2019
Linear Lower Bounds and Conditioning of Differentiable Games
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim
Waïss Azizian
Gauthier Gidel
Ioannis Mitliagkas
46
10
0
17 Jun 2019
Agnostic Federated Learning
Agnostic Federated Learning
M. Mohri
Gary Sivek
A. Suresh
FedML
71
928
0
01 Feb 2019
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
313
9,418
0
28 May 2015
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