Elias Bareinboim, Ph.D.

Affiliations: 
2014 Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
artificial intelligence and knowledge representation; probabilistic and causal reasoning; nonstandard logics; learning strategies
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"Elias Bareinboim"

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Judea Pearl grad student 2014 UCLA
 (Generalizability in Causal Inference: Theory and Algorithms.)
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Publications

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Pearl J, Bareinboim E. (2019) Note on ''Generalizability of Study Results''. Epidemiology (Cambridge, Mass.). 30: 186-188
Bareinboim E, Pearl J. (2016) Causal inference and the data-fusion problem. Proceedings of the National Academy of Sciences of the United States of America. 113: 7345-52
Bareinboim E, Tian J. (2015) Recovering causal effects from selection bias Proceedings of the National Conference On Artificial Intelligence. 5: 3475-3481
Bareinboim E, Forney A, Pearl J. (2015) Bandits with unobserved confounders: A causal approach Advances in Neural Information Processing Systems. 2015: 1342-1350
Pearl J, Bareinboim E. (2014) External validity: From do-calculus to transportability across populations Statistical Science. 29: 579-595
Bareinboim E, Tian J, Pearl J. (2014) Recovering from selection bias in causal and statistical inference Proceedings of the National Conference On Artificial Intelligence. 4: 2410-2416
Bareinboim E, Pearl J. (2014) Transportability from multiple environments with limited experiments: Completeness results Advances in Neural Information Processing Systems. 1: 280-288
Bareinboim E, Pearl J. (2014) Transportability from multiple environments with limited experiments: Completeness results Advances in Neural Information Processing Systems. 1: 280-288
Bareinboim E, Pearl J. (2013) Causal transportability with limited experiments Proceedings of the 27th Aaai Conference On Artificial Intelligence, Aaai 2013. 95-101
Bareinboim E, Pearl J. (2013) Meta-transportability of causal effects: A formal approach Journal of Machine Learning Research. 31: 135-143
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