2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NeurIPS 2024poster
This paper focuses on the optimization of overparameterized, non-convex low-rank matrix sensing (LRMS)—an essential component in contemporary statistics and machine learning. Recent years have witnessed significant breakthroughs in first-order methods, such as gradient descent, for tackling this non…