Meta Learning for Support Recovery in High-dimensional Precision Matrix
                 Estimation

                     Qian Zhang 1 Yilin Zheng 2 Jean Honorio 2

              Abstract                 1. Introduction
    In this paper, we study meta learning for sup-        Precision (or inverse covariance) matrix estimation is an
    port (i.e., the set of non-zero entries) recovery      important problem in high-dimensional statistical learning
    in high-dimensional precision matrix estim ...