Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
Keywords:
Low-Rank
first-order methods
Subspace Recovery
strict complementarity
frank-wolfe
Convex Optimization
principal component analysis
nonconvex optimization
robust PCA
2022 Poster
Abstract
We consider optimization problems in which the goal is to find a $k$-dimensional subspace of $\mathbb{R}^n$, $k<
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