De-Biasing The Lasso With Degrees-of-Freedom Adjustment

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De-Biasing The Lasso With Degrees-of-Freedom Adjustment

24 February 2019

Pierre C. Bellec

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Papers citing "De-Biasing The Lasso With Degrees-of-Freedom Adjustment"

13 / 13 papers shown

Title
Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference Pierre C Bellec 116 0 0 05 Jan 2025
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators Yuval Oren Saharon Rosset 55 1 0 19 Feb 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 99 7 0 30 Dec 2022
Small Tuning Parameter Selection for the Debiased Lasso Akira Shinkyu N. Sueishi 35 1 0 18 Aug 2022
Asymptotic normality of robust $M$ -estimators with convex penalty Pierre C. Bellec Yiwei Shen Cun-Hui Zhang 49 12 0 08 Jul 2021
Spatially relaxed inference on high-dimensional linear models Jérôme-Alexis Chevalier Tuan-Binh Nguyen Bertrand Thirion Joseph Salmon 68 1 0 04 Jun 2021
A New Perspective on Debiasing Linear Regressions Yufei Yi Matey Neykov 80 2 0 08 Apr 2021
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction Oren Yuval Saharon Rosset 48 3 0 01 Sep 2020
Out-of-sample error estimate for robust M-estimators with convex penalty Pierre C. Bellec 129 17 0 26 Aug 2020
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 129 64 0 27 Jul 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 128 20 0 26 Dec 2019
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 71 34 0 09 Nov 2018
Scale calibration for high-dimensional robust regression Yu Li 60 27 0 06 Nov 2018