Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey

20 August 2022

Papers citing "Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey"

7 / 7 papers shown

Title
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li Feng Xie Yan Zeng Zhi Geng Hao Zhang Zhi Geng CML 76 0 0 25 Nov 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 39 2 0 30 Sep 2024
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning Ahmet Kapkiç Pratanu Mandal Shu Wan Paras Sheth Abhinav Gorantla Yoonhyuk Choi Huan Liu K. S. Candan CML 32 0 0 12 Sep 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Jixue Liu Wentao Gao T. Le CML 36 6 0 12 Dec 2023
On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya Razieh Nabi 30 8 0 01 Mar 2022
An Automated Approach to Causal Inference in Discrete Settings Guilherme Duarte N. Finkelstein D. Knox Jonathan Mummolo I. Shpitser 29 48 0 28 Sep 2021
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013