Adaptive spectral regularizations of high dimensional linear models

Yuri Golubev

This paper focuses on recovering an unknown vector $\beta$ from the noisy data $Y=X\beta +\sigma \xi$, where $X$ is a known $n\times p$-matrix, $\xi$ is a standard white Gaussian noise, and $\sigma$ is an…