Sparse corruption in low-rank matrix inference: the PCA benchmark

Urte Adomaityte, Gabriele Sicuro, Pierpaolo Vivo

Principal Component Analysis (PCA) is a standard tool for extracting a low-rank signal from noisy observations. It is known that applying PCA to a rank-one signal corrupted by a de…