The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization

Tianxi Zhu, Yi Xu, Xiangyang Ji

Stochastic min-max optimization has attracted increasing attention due to its applications in modern machine learning, while existing theoretical studies mainly rely on the bounded…