2 papers
stat.ML2026
Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation
Lucas Morisset, Alain Durmus, Adrien Hardy
This paper aims at analyzing the regularization effect that data augmentation induces on supervised regression methods in the proportional regime, where the number of covariates gr…
stat.ML2025
Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
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…