De-biasing convex regularized estimators and interval estimation in linear models

26 December 2019

Papers citing "De-biasing convex regularized estimators and interval estimation in linear models"

6 / 6 papers shown

Title
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning Pierre C. Bellec Yi Shen 45 13 0 03 Jan 2025
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 22 1 0 18 Jul 2024
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers Parth Nobel Emmanuel Candès Stephen P. Boyd ELM LLMSV 21 5 0 11 Nov 2022
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 42 63 0 27 Jul 2020
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 107 160 0 17 Jan 2013