Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective

14 February 2012

Papers citing "Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective"

13 / 13 papers shown

Title
Practically Effective Adjustment Variable Selection in Causal Inference Atsushi Noda Takashi Isozaki 119 0 0 04 Feb 2025
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li Feng Xie Xichen Guo Yan Zeng Hao Zhang Zhi Geng CML 225 0 0 25 Nov 2024
Finding and Listing Front-door Adjustment Sets H. Jeong Jin Tian Elias Bareinboim 83 9 0 11 Oct 2022
A note on efficient minimum cost adjustment sets in causal graphical models Ezequiel Smucler A. Rotnitzky CML 68 8 0 06 Jan 2022
Efficient adjustment sets in causal graphical models with hidden variables Ezequiel Smucler F. Sapienza A. Rotnitzky CML OffRL 100 33 0 22 Apr 2020
On efficient adjustment in causal graphs Jan-Jelle Witte Leonard Henckel Marloes H. Maathuis Vanessa Didelez CML 80 70 0 17 Feb 2020
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework Benito van der Zander Maciej Liskiewicz J. Textor CML 81 37 0 28 Feb 2018
The Crossover Process: Learnability and Data Protection from Inference Attacks Richard Nock Giorgio Patrini Finnian Lattimore Tibério S. Caetano 32 3 0 13 Jun 2016
Drawing and Analyzing Causal DAGs with DAGitty J. Textor CML 42 51 0 19 Aug 2015
Learning from Pairwise Marginal Independencies J. Textor Alexander Idelberger Maciej Liskiewicz CML 88 10 0 02 Aug 2015
A Complete Generalized Adjustment Criterion Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL CML 85 73 0 06 Jul 2015
A generalized back-door criterion Marloes H. Maathuis Diego Colombo 122 36 0 22 Jul 2013
Structural Intervention Distance (SID) for Evaluating Causal Graphs J. Peters Peter Buhlmann CML 114 40 0 05 Jun 2013