Outlier-robust sparse/low-rank least-squares regression and robust matrix completion

Philip Thompson

We study high-dimensional least-squares regression within a subgaussian statistical learning framework with heterogeneous noise. It includes $s$-sparse and $r$-low-rank least-squar…