Evaluation Methods and Measures for Causal Learning Algorithms

Author:

Cheng Lu1ORCID,Guo Ruocheng2,Moraffah Raha1,Sheth Paras1,Candan K. Selcuk1ORCID,Liu Huan1ORCID

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

Reference158 articles.

1. Causal effect inference with deep latent-variable models;louizos;Proc Int Conf Neural Inf Process,0

2. Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

3. Uplift Modeling with Multiple Treatments and General Response Types

4. Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects

5. Estimating individual treatment effect: Generalization bounds and algorithms;shalit;Proc Int Conf Mach Learn,0

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