7 citations · 19 across the 10 of their papers we have counts for
4 papers · 1 filter
Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
Dmitrii M. Ostrovskii, Babak Barazandeh, Meisam Razaviyayn
We study the problem of finding approximate first-order stationary points in optimization problems of the form , where the sets are conv…
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…
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…
Solving Non-Convex Non-Differentiable Min-Max Games using Proximal Gradient Method
Babak Barazandeh, Meisam Razaviyayn
Min-max saddle point games appear in a wide range of applications in machine leaning and signal processing. Despite their wide applicability, theoretical studies are mostly limited…