Tianming Wang

Leave-one-out analysis for nonconvex robust matrix completion with general thresholding functions

We study the problem of robust matrix completion (RMC), where the partially observed entries of an underlying low-rank matrix is corrupted by sparse noise. Existing analysis of the non-convex methods for this problem either requires the explicit but empirically redundant regulari...