Training GANs with Centripetal Acceleration

24 February 2019

Papers citing "Training GANs with Centripetal Acceleration"

9 / 9 papers shown

Title
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 46 14 0 25 May 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 31 10 0 15 Feb 2023
Accelerated Single-Call Methods for Constrained Min-Max Optimization Yang Cai Weiqiang Zheng 27 30 0 06 Oct 2022
On Scaled Methods for Saddle Point Problems Aleksandr Beznosikov Aibek Alanov D. Kovalev Martin Takáč Alexander Gasnikov 30 4 0 16 Jun 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities D. Kovalev Aleksandr Beznosikov Abdurakhmon Sadiev Michael Persiianov Peter Richtárik Alexander Gasnikov 35 35 0 06 Feb 2022
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization Jun-Kun Wang Jacob D. Abernethy Kfir Y. Levy 27 21 0 22 Nov 2021
Training Generative Adversarial Networks with Adaptive Composite Gradient Huiqing Qi Fang Li Shengli Tan Xiangyun Zhang GAN 29 3 0 10 Nov 2021
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 35 81 0 16 Jun 2020
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 20 36 0 26 May 2019