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A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving
  Monotone Inclusions with Application to GANs
v1v2 (latest)

A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs

Journal of machine learning research (JMLR), 2020
17 March 2020
R. Boț
Michael Sedlmayer
P. Vuong
ArXiv (abs)PDFHTML

Papers citing "A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs"

5 / 5 papers shown
Asymptotic regularity of a generalised stochastic Halpern scheme
Asymptotic regularity of a generalised stochastic Halpern scheme
Nicholas Pischke
Thomas Powell
279
6
0
07 Nov 2024
Convergences for Minimax Optimization Problems over Infinite-Dimensional
  Spaces Towards Stability in Adversarial Training
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training
Takashi Furuya
Satoshi Okuda
Kazuma Suetake
Yoshihide Sawada
519
0
0
02 Dec 2023
Adaptive proximal algorithms for convex optimization under local
  Lipschitz continuity of the gradient
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradientMathematical programming (Math. Program.), 2023
P. Latafat
Andreas Themelis
L. Stella
Panagiotis Patrinos
526
56
0
11 Jan 2023
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding ProblemsMathematics of Operations Research (MOR), 2023
Quoc Tran-Dinh
Yang Luo
754
13
0
08 Jan 2023
Training Generative Adversarial Networks via stochastic Nash games
Training Generative Adversarial Networks via stochastic Nash gamesIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Barbara Franci
Sergio Grammatico
GAN
341
22
0
17 Oct 2020
1
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