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Greedy Adversarial Equilibrium: An Efficient Alternative to
  Nonconvex-Nonconcave Min-Max Optimization

Greedy Adversarial Equilibrium: An Efficient Alternative to Nonconvex-Nonconcave Min-Max Optimization

22 June 2020
Oren Mangoubi
Nisheeth K. Vishnoi
ArXivPDFHTML

Papers citing "Greedy Adversarial Equilibrium: An Efficient Alternative to Nonconvex-Nonconcave Min-Max Optimization"

5 / 5 papers shown
Title
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
51
255
0
11 Jul 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
114
107
0
15 May 2018
Training GANs with Optimism
Training GANs with Optimism
C. Daskalakis
Andrew Ilyas
Vasilis Syrgkanis
Haoyang Zeng
141
517
0
31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
267
12,029
0
19 Jun 2017
Optimization, Learning, and Games with Predictable Sequences
Optimization, Learning, and Games with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
83
379
0
08 Nov 2013
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