2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
NeurIPS 2021poster
Low-rank and nonsmooth matrix optimization problems capture many fundamental tasks in statistics and machine learning. While significant progress has been made in recent years in developing efficient methods for \textit{smooth} low-rank optimization problems that avoid maintaining high-rank matrices…