v1v2 (latest)

Identifying causal effects in maximally oriented partially directed acyclic graphs

7 October 2019

Papers citing "Identifying causal effects in maximally oriented partially directed acyclic graphs"

21 / 21 papers shown

Title
Linear-Time Primitives for Algorithm Development in Graphical Causal Inference Marcel Wienöbst Sebastian Weichwald Leonard Henckel 17 0 0 18 Jun 2025
Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs Malte Luttermann Tanya Braun Ralf Möller Marcel Gehrke 98 2 0 11 Nov 2024
Causal reasoning in difference graphs Charles K. Assaad CML 98 0 0 02 Nov 2024
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs Simon Ferreira Charles K. Assaad CML 68 0 0 31 Oct 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 84 0 0 26 Oct 2024
Local Causal Discovery with Background Knowledge Qingyuan Zheng Yue Liu Yangbo He CML 60 1 0 15 Aug 2024
Identifying macro conditional independencies and macro total effects in summary causal graphs with latent confounding Simon Ferreira Charles K. Assaad CML 70 5 0 10 Jul 2024
Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi Lai Wei Murat Kocaoglu Mahsa Ghasemi CML 74 1 0 19 May 2024
Adjustment Identification Distance: A gadjid for Causal Structure Learning Leonard Henckel Theo Würtzen Sebastian Weichwald CML 102 11 0 13 Feb 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 72 6 0 19 Jan 2024
Identifiability of total effects from abstractions of time series causal graphs Charles K. Assaad Emilie Devijver Éric Gaussier Gregor Gössler Anouar Meynaoui CML 69 7 0 23 Oct 2023
Active causal structure learning with advice Davin Choo Themis Gouleakis Arnab Bhattacharyya CML 79 3 0 31 May 2023
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
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 65 19 0 27 May 2022
Causal discovery for observational sciences using supervised machine learning A. H. Petersen Joseph Ramsey C. Ekstrøm Peter Spirtes CML 68 15 0 25 Feb 2022
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition Weishen Pan Sen Cui Jiang Bian Changshui Zhang Fei Wang CML FaML 122 35 0 11 Aug 2021
A Local Method for Identifying Causal Relations under Markov Equivalence Zhuangyan Fang Yue Liu Z. Geng Shengyu Zhu Yangbo He CML 57 13 0 25 Feb 2021
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 109 13 0 08 Aug 2020
On efficient adjustment in causal graphs Jan-Jelle Witte Leonard Henckel Marloes H. Maathuis Vanessa Didelez CML 80 70 0 17 Feb 2020
Learning and Sampling of Atomic Interventions from Observations Arnab Bhattacharyya Sutanu Gayen S. Kandasamy Ashwin Maran N. V. Vinodchandran CML 49 4 0 11 Feb 2020