24 citations · 156 across the 28 of their papers we have counts for
4 papers · 1 filter
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…
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems
Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis
In this paper, we design and analyze a new family of adaptive subgradient methods for solving an important class of weakly convex (possibly nonsmooth) stochastic optimization probl…
Socially optimal charging strategies for electric vehicles
Elena Yudovina, George Michailidis
Electric vehicles represent a promising technology for reducing emissions and dependence on fossil fuels and have started entering different automotive markets. In order to bolster…