SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax

SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax

29 March 2015

Weijie Su

Emmanuel Candes

Papers citing "SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax"

9 / 9 papers shown

Title
Strong Screening Rules for Group-based SLOPE Models Fabio Feser Marina Evangelou 33 1 0 24 May 2024
Stepdown SLOPE for Controlled Feature Selection Jingxuan Liang H. Chen Xuelin Zhang Weifu Li Xin Tang 57 0 0 21 Feb 2023
Proximal Subgradient Norm Minimization of ISTA and FISTA Bowen Li Bin Shi Ya-xiang Yuan 6 11 0 03 Nov 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 13 4 0 24 Aug 2022
Pattern recovery by SLOPE M. Bogdan Xavier Dupuis P. Graczyk Bartosz Kołodziejek T. Skalski P. Tardivel Maciej Wilczyñski 9 7 0 22 Mar 2022
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 15 46 0 25 Mar 2019
Interplay of minimax estimation and minimax support recovery under sparsity M. Ndaoud 33 15 0 12 Oct 2018
Oracle Inequalities for High-dimensional Prediction Johannes Lederer Lu Yu Irina Gaynanova 17 24 0 01 Aug 2016
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 119 189 0 02 Jan 2008