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On gradient descent ascent for nonconvex-concave minimax problems
Tianyi Lin
,
Chi Jin
, Michael I. Jordan
Electrical and Computer Engineering
Princeton Language and Intelligence (PLI)
Center for Statistics & Machine Learning
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
211
Scopus citations
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Dive into the research topics of 'On gradient descent ascent for nonconvex-concave minimax problems'. Together they form a unique fingerprint.
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Keyphrases
Nonconvex
100%
Gradient Ascent
100%
Minimax Problem
100%
Two-time Scale
40%
Popular
20%
Convex Set
20%
Control Theory
20%
Real Application
20%
Stationary Point
20%
Limit Cycle
20%
Practical Performance
20%
Convergence Results
20%
Machine Learning Control
20%
Complexity Results
20%
Ascent Algorithm
20%
Non-asymptotic Analysis
20%
Bounded Set
20%
Generative Adversarial Networks
20%
Convex-concave
20%
Mathematics
Minimax
100%
Timescale
66%
Control Theory
33%
Limit Cycle
33%
Stationary Point
33%
Convex Set
33%
Convergence Result
33%
Bounded Set
33%