Training GANs with centripetal acceleration

DOI10.1080/10556788.2020.1754414zbMath1464.90060arXiv1902.08949OpenAlexW3099935516MaRDI QIDQ5858988

Wei Peng, Hui Zhang, Li-Zhi Cheng, Yu-Hong Dai

Publication date: 15 April 2021

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.08949

zbMATH Keywords

generative adversarial networks, centripetal acceleration

Mathematics Subject Classification ID

Convex programming (90C25) Large-scale problems in mathematical programming (90C06) Nonlinear programming (90C30)

Related Items (5)

Extragradient and extrapolation methods with generalized Bregman distances for saddle point problems ⋮ No-regret dynamics in the Fenchel game: a unified framework for algorithmic convex optimization ⋮ A new dynamical system with self-adaptive dynamical stepsize for pseudomonotone mixed variational inequalities ⋮ Compression and data similarity: combination of two techniques for communication-efficient solving of distributed variational inequalities ⋮ Unnamed Item

Uses Software

• RMSprop
• f-GAN

Cites Work

• Unnamed Item
• Unnamed Item
• Analysis of monotone gradient methods
• Potential games
• Online Learning and Online Convex Optimization
• Two-Point Step Size Gradient Methods

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