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

Pierre C. Bellec
Cun-Hui Zhang
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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
114
0
0
05 Jan 2025
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators
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
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
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
Asymptotic normality of robust MM-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
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
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
Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction
Oren Yuval
Saharon Rosset
46
3
0
01 Sep 2020
Out-of-sample error estimate for robust M-estimators with convex penalty
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
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
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
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
Scale calibration for high-dimensional robust regression
Yu Li
58
27
0
06 Nov 2018