Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach

27 August 2020

Papers citing "Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach"

4 / 4 papers shown

Title
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope Stanislav Minsker M. Ndaoud Lan Wang 40 8 0 30 Oct 2022
Variable selection, monotone likelihood ratio and group sparsity C. Butucea E. Mammen M. Ndaoud Alexandre B. Tsybakov 48 3 0 30 Dec 2021
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 27 20 0 26 Dec 2019
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015