Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

SLOPE is a relatively new convex optimization procedure for high-dimensional linear regression via the sorted $\ell_1$ penalty: the larger the rank of the fitted coefficient, the larger the penalty.