Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework

Amber Srivastava, Alisina Bayati, Srinivasa Salapaka

This work presents a new approach to solve the sparse linear regression problem, i.e., to determine a k-sparse vector w in R^d that minimizes the cost ||y - Aw||^2_2. In contrast t…