Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias

7 November 2021

Papers citing "Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias"

5 / 5 papers shown

Title
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development Yanming Zhang Brette Fitzgibbon Dino Garofolo Akshith Kota Eric Papenhausen Klaus Mueller CML 33 5 0 23 Dec 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 23 1 0 01 Nov 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 29 12 0 01 Feb 2023
$Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing$ Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing Chao Min Guo-quan Wen Liang Gou Xiaogang Li Zhaozhong Yang CML 13 10 0 21 Dec 2022
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 147 436 0 20 Feb 2013