On efficient adjustment in causal graphs

v1v2 (latest)

On efficient adjustment in causal graphs

17 February 2020

Jan-Jelle Witte

Leonard Henckel

Marloes H. Maathuis

Vanessa Didelez

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Papers citing "On efficient adjustment in causal graphs"

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Title
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference Marcel Wienöbst Sebastian Weichwald Leonard Henckel 10 0 0 18 Jun 2025
Practically Effective Adjustment Variable Selection in Causal Inference Atsushi Noda Takashi Isozaki 117 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 212 0 0 25 Nov 2024
Faithlessness in Gaussian graphical models Mathias Drton Leonard Henckel Benjamin Hollering Pratik Misra 73 1 0 08 Apr 2024
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 32 0 20 Aug 2022
Graphical tools for selecting conditional instrumental sets Leonard Henckel Martin Buttenschon Marloes H. Maathuis CML 80 9 0 07 Aug 2022
On the Representation of Causal Background Knowledge and its Applications in Causal Inference Zhuangyan Fang Ruiqi Zhao Yue Liu Yangbo He 72 4 0 10 Jul 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 74 7 0 24 Feb 2022
A note on efficient minimum cost adjustment sets in causal graphical models Ezequiel Smucler A. Rotnitzky CML 58 8 0 06 Jan 2022
Efficient Online Estimation of Causal Effects by Deciding What to Observe Shantanu Gupta Zachary Chase Lipton David Benjamin Childers CML 83 19 0 20 Aug 2021
Causal Markov Boundaries Sofia Triantafillou Fattaneh Jabbari Gregory F. Cooper CML OOD 53 5 0 12 Mar 2021
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation Takeshi Teshima Masashi Sugiyama CML 81 13 0 27 Feb 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables Jakob Runge CML 82 27 0 20 Feb 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation Kristjan Greenewald Dmitriy A. Katz-Rogozhnikov Karthikeyan Shanmugam CML 99 9 0 03 Nov 2020
Minimal enumeration of all possible total effects in a Markov equivalence class F. R. Guo Emilija Perković CML 38 17 0 16 Oct 2020
Efficient least squares for estimating total effects under linearity and causal sufficiency By F. Richard Guo Emilija Perković CML 106 13 0 08 Aug 2020
Efficient adjustment sets in causal graphical models with hidden variables Ezequiel Smucler F. Sapienza A. Rotnitzky CML OffRL 88 33 0 22 Apr 2020
Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models Leonard Henckel Emilija Perković Marloes H. Maathuis CML 102 108 0 04 Jul 2019