Generalization Bound for Estimating Causal Effects from Observational Network Data

Author:

Cai Ruichu1ORCID,Yang Zeqin1ORCID,Chen Weilin1ORCID,Yan Yuguang1ORCID,Hao Zhifeng2ORCID

Affiliation:

1. Guangdong University of Technology, Guangzhou, China

2. Shantou University, Shantou, China

Funder

Guangzhou Basic and Applied Basic Research Foundation

Natural Science Foundation of China

National Science Fund for Excellent Young Scholars

the major key project of PCL

National Key R&D Program of China

Publisher

ACM

Reference35 articles.

1. Serge Assaad , Shuxi Zeng , Chenyang Tao , Shounak Datta , Nikhil Mehta , Ricardo Henao , Fan Li , and Lawrence Carin . 2021 . Counterfactual representation learning with balancing weights . In International Conference on Artificial Intelligence and Statistics. PMLR , 1972--1980. Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, and Lawrence Carin. 2021. Counterfactual representation learning with balancing weights. In International Conference on Artificial Intelligence and Statistics. PMLR, 1972--1980.

2. Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data

3. Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks

4. Alison L Gibbs and Francis Edward Su. 2002. On choosing and bounding probability metrics . International statistical review , Vol. 70 , 3 ( 2002 ), 419--435. Alison L Gibbs and Francis Edward Su. 2002. On choosing and bounding probability metrics. International statistical review, Vol. 70, 3 (2002), 419--435.

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