Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen

Our analysis is relied on a notion of extended restricted eigenvalue for the design matrix X. Our second set of results applies to a general class of Gaussian design matrix X with i.i.d rows N (0, Σ), for which we provide a surprising phenomenon: the extended Lasso can recover exact signed supports of both β