Adrien Hardy

Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation

This paper addresses the problem of inverse covariance (also known as precision matrix) estimation in high-dimensional settings. Specifically, we focus on two classes of estimators: linear shrinkage estimators with a target proportional to the identity matrix, and estimators derived from data augmen…