Robust Gaussian Graphical Model Estimation with Arbitrary Corruption

Lingxiao Wang, Quanquan Gu

Abstract: We study the problem of estimating the high-dimensional Gaussian graphical model where the data are arbitrarily corrupted. We propose a robust estimator for the sparse precision matrix in the high-...