Fundamental Barriers to High-Dimensional Regression with Convex Penalties

25 March 2019

Papers citing "Fundamental Barriers to High-Dimensional Regression with Convex Penalties"

8 / 8 papers shown

Title
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning Pierre C. Bellec Yi Shen 40 13 0 03 Jan 2025
$Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization$ Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization Gen Li Wei Fan Yuting Wei 26 10 0 07 Feb 2023
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 40 22 0 14 Jul 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 27 93 0 02 Mar 2021
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 26 62 0 21 Oct 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 19 20 0 26 Dec 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing Zhiqi Bu Jason M. Klusowski Cynthia Rush Weijie Su 20 43 0 17 Jul 2019
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015