Evaluation Methods and Measures for Causal Learning Algorithms
Author:
Affiliation:
1. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
2. School of Data Science, City University of Hong Kong, Hong Kong
Funder
National Science Foundation
Association for Research Libraries
U.S. Army Materiel Command
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Artificial Intelligence
Link
https://ieeexplore.ieee.org/ielam/9078688/9960713/9709543-aam.pdf
Reference158 articles.
1. Causal effect inference with deep latent-variable models;louizos;Proc Int Conf Neural Inf Process,0
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3. Uplift Modeling with Multiple Treatments and General Response Types
4. Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
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