A Study of Counterfactual Inference Based on Instrumental Variables and Machine Learning-Reference-Cited by-同舟云学术

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A Study of Counterfactual Inference Based on Instrumental Variables and Machine Learning

Published:2021-12-03 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Digital Society and Intelligent Systems (DSInS)
language:
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Author:

Zhang Youren¹,Xie Wenxi²,He Zhengxun³,Ren Yifan⁴,Jiang Ziyan⁵

Affiliation:

1. The Hong Kong Polytechnic University,Faculty of Engineering,Hong Kong, China

2. Xi'an Jiaotong University,School of Mechanical Engineering,Xi'an,China

3. Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China

4. StonyBrook University,College of Engineering and Applied Science,StonyBrook,United States

5. University of Ningbo China,Faculty of Science,Ningbo,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9670450/9670553/09670568.pdf?arnumber=9670568

Reference25 articles.

1. Causal Inference for Statistics, Social, and Biomedical Sciences

2. Big Data: New Tricks for Econometrics

3. Efficient inference of average treatment effects in high dimensions via approximate residual balancing;athey,2016

4. Lasso adjustments of treatment effect estimates in randomized experiments

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