Swag: A Wrapper Method for Sparse Learning

Abstract

This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Swag: A Wrapper Method for Sparse Learning.

Publication
arXiv preprint arXiv:2006.12837
Applied Statistics Model Selection
Roberto Molinari
Assistant Professor in Statistics

My research interests include robust statistics, signal processing, model selection and differential privacy.