Alexander Petersen

Distributionally Robust Formulation and Model Selection for the Graphical Lasso

Building on a recent framework for distributionally robust optimization, we consider inverse covariance matrix estimation for multivariate data. A novel notion of Wasserstein ambiguity set is provided that is specifically tailored to this problem, leading to a tractable class of regularized estimato…