Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity

Part of Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Main Conference Track

Bibtex Paper Supplemental

Authors

Ron Fisher, Dan Garber

Abstract

We consider optimization problems in which the goal is to find a $k$-dimensional subspace of $\mathbb{R}^n$, $k<