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Doubly Debiased Lasso: High-Dimensional Inference under Hidden
  Confounding
v1v2v3 (latest)

Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding

8 April 2020
Zijian Guo
Domagoj Cevid
Peter Buhlmann
    CML
ArXiv (abs)PDFHTML

Papers citing "Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding"

6 / 6 papers shown
Title
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Prateek Jaiswal
Esmaeil Keyvanshokooh
Junyu Cao
44
0
0
22 May 2025
ExMAG: Learning of Maximally Ancestral Graphs
ExMAG: Learning of Maximally Ancestral Graphs
Petr Rysavý
Pavel Rytíř
Xiaoyu He
Georgios Korpas
Georgios Korpas
CML
158
0
0
11 Mar 2025
Simultaneous inference for generalized linear models with unmeasured confounders
Simultaneous inference for generalized linear models with unmeasured confounders
Jin-Hong Du
Larry Wasserman
Kathryn Roeder
55
4
0
13 Sep 2023
Asymptotic normality in linear regression with approximately sparse
  structure
Asymptotic normality in linear regression with approximately sparse structure
Saulius Jokubaitis
R. Leipus
59
1
0
08 Mar 2022
Correcting Confounding via Random Selection of Background Variables
Correcting Confounding via Random Selection of Background Variables
You-Lin Chen
Lenon Minorics
Dominik Janzing
CML
59
4
0
04 Feb 2022
Deconfounding and Causal Regularization for Stability and External
  Validity
Deconfounding and Causal Regularization for Stability and External Validity
Peter Buhlmann
Domagoj Cevid
CML
41
11
0
14 Aug 2020
1