Optimal spectral shrinkage via Krylov approximation
Spectral shrinkage encompasses a broad family of estimators for high-dimensional linear regression that regularize estimation and prediction by applying spectral filters to the sample covariance matrix. Despite its widespread use, achieving oracle-optimal prediction risk under general covariance structures remains chal...