A Survey of Deep Causal Models and Their Industrial Applications

19 September 2022

Papers citing "A Survey of Deep Causal Models and Their Industrial Applications"

9 / 9 papers shown

Title
Rethinking industrial artificial intelligence: a unified foundation framework Jay Lee Hanqi Su AI4CE 39 1 0 02 Apr 2025
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 29 11 0 14 Sep 2022
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data Zhixuan Chu S. Rathbun Sheng R. Li CML OOD 37 14 0 22 Feb 2022
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 160 49 0 03 Jun 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 59 103 0 11 Feb 2021
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 148 35 0 21 Jan 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials Nir Rosenfeld Yishay Mansour E. Yom-Tov CML 37 25 0 24 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 205 713 0 12 May 2016