Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding

8 April 2020

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

8 / 8 papers shown

Title
ExMAG: Learning of Maximally Ancestral Graphs Petr Rysavý Pavel Rytír Xiaoyu He Jakub Marecek Georgios Korpas CML 69 0 0 11 Mar 2025
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 29 1 0 18 Jul 2024
Substitute adjustment via recovery of latent variables Jeffrey Adams Niels Richard Hansen CML 24 1 0 01 Mar 2024
Simultaneous inference for generalized linear models with unmeasured confounders Jin-Hong Du Larry Wasserman Kathryn Roeder 16 4 0 13 Sep 2023
Asymptotic normality in linear regression with approximately sparse structure Saulius Jokubaitis R. Leipus 20 1 0 08 Mar 2022
Correcting Confounding via Random Selection of Background Variables You-Lin Chen Lenon Minorics Dominik Janzing CML 27 4 0 04 Feb 2022
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding Justin Grimmer D. Knox Brandon M Stewart CML 8 12 0 24 Jul 2020
Factor modeling for high-dimensional time series: Inference for the number of factors Clifford Lam Q. Yao 49 479 0 04 Jun 2012