Convex Reparameterization and Self-Concordant Algorithms for Multivariate Regression with Covariance Estimation

Hongru Zhao, Huiqian Feng

Building on a reparameterization for multivariate linear regression that yields a jointly convex penalized likelihood in the reparameterized regression coefficient matrix and the p…