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math.OC2021★ 7 cited
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems
Babak Barazandeh, Tianjian Huang, George Michailidis
Min-max saddle point games have recently been intensely studied, due to their wide range of applications, including training Generative Adversarial Networks (GANs). However, most o…
math.OC2021
Solving a class of non-convex min-max games using adaptive momentum methods
Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis
Adaptive momentum methods have recently attracted a lot of attention for training of deep neural networks. They use an exponential moving average of past gradients of the objective…