Elias Bareinboim

      Postdoctoral Scholar
      Cognitive Systems Laboratory
      Computer Science Department
      University of California, Los Angeles

      Email: eb at cs dot ucla dot edu
      Phone: +1 310 267 5645
      Address: Boelter Hall, Room 3564,
      UCLA, Los Angeles, CA, 90024.


summarynewsservicetutorialstalkspublications ]

Summary

I obtained my PhD in Computer Science from UCLA, where I had the pleasure of working with Judea Pearl. Previously, I obtained my B.Sc. and M.Sc. degrees in Computer Science at Federal University of Rio de Janeiro, Brazil.

My research focuses on theoretical causality and its applications to bioinformatics, economics, and public health. More specifically, my thesis work develops formal methods for solving the fundamental problem of generalizing causal and statistical knowledge. The most immediate instances of this problem appear in almost any data analysis under the rubrics of external validity, meta-analysis, and selection bias.

I am broadly interested in Artificial Intelligence, Machine Learning, Statistics, Cogntive Science, and Philosophy of Science.

My CV: pdf (November/15, 2014)

News

Academic Service

Tutorials

Invited talks



Publications

2015:

Recovering Causal Effects From Selection Bias
E. Bareinboim, J. Tian.
In Proceedings of the 29th Conference on Artificial Intelligence (AAAI), 2015, forthcoming.

2014:

External Validity: From do-calculus to Transportability across Populations
J. Pearl, E. Bareinboim.
Statistical Science, 2014, forthcoming. [
pdf]

Transportability from Multiple Environments with Limited Experiments: Completeness Results
E. Bareinboim, J. Pearl.
In Proceedings of the 27th Annual Conference on Neural Information Processing Systems (NIPS), 2014, forthcoming.
Spotlight presentation (62 out of 1678 accepted papers).


Recovering from Selection Bias in Causal and Statistical Inference
E. Bareinboim, J. Tian, J. Pearl.
In Proceedings of the 28th Conference on Artificial Intelligence (AAAI), 2014. [pdf]

Best Paper Award (1 out of 398 accepted papers).

Generalizability in Causal Inference: Theory and Algorithms
E. Bareinboim.
Ph.D. Thesis, Computer Science Department, UCLA, fothcoming.

2013:

Causal Transportability from Multiple Environments with Limited Experiments
E. Bareinboim, S. Lee, V. Honavar, J. Pearl.
In Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NIPS), 2013. [pdf]

Causal Transportability with Limited Experiments
E. Bareinboim, J. Pearl.
In Proceedings of the 27th Conference on Artificial Intelligence (AAAI), 2013. [pdf]

Meta-Transportability of Causal Effects: A formal approach
E. Bareinboim, J. Pearl.
In Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS), 2013. [pdf]

A General Algorithm for Deciding Transportability of Experimental Results
E. Bareinboim, J. Pearl.
Journal of Causal Inference, Vol. 1, pp. 107--134, 2013. [pdf]

2012:

Causal Inference by Surrogate Experiments
E. Bareinboim, J. Pearl.
In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI), 2012. [pdf]

Transportability of Causal Effects: Completeness Results
E. Bareinboim, J. Pearl.
In Proceedings of the 26th Conference on Artificial Intelligence (AAAI), 2012. [pdf]

Controlling Selection Bias in Causal Inference
E. Bareinboim, J. Pearl.
In Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS), 2012. [pdf]

Local Characterizations of Causal Bayesian Networks
E. Bareinboim, C. Brito, J. Pearl.
In Lecture Notes in Artificial Intelligence (LNAI), Springer, 2012. [pdf]

2011:

Transportability of Causal and Statistical relations: A formal approach
J. Pearl, E. Bareinboim.
In Proceedings of the 25th Conference on Artificial Intelligence (AAAI), 2011. [pdf]

External Validity and Transportability: A Formal Approach
J. Pearl, E. Bareinboim.
In Proceedings of the Joint Statistical Meetings-American Statistical Association (JSM-ASA), 2011. [pdf]

Controlling Selection Bias in Causal Inference
E. Bareinboim, J. Pearl.
In Proceedings of the 25th Conference on Artificial Intelligence (AAAI), 2011. [pdf]

Local Characterizations of Causal Bayesian Networks
E. Bareinboim, C. Brito, J. Pearl.
In Proceedings of the GKR-22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011. [pdf]

Analyzing marginal cases in differential shotgun proteomics
P. Carvalho, J. Fischer, J. Perales, J. Yates III, V. Barbosa, E. Bareinboim.
Bioinformatics, Vol 27, pp. 275-276, 2011. [pdf]

Pre-PhD:

Descents and nodal load in scale-free networks,
E. Bareinboim, V.C. Barbosa.
Physical Review E, Vol. 77, 046111, 2008. [pdf]

Grammatical inference applied to linguistic modeling of biological regulation networks
E. Bareinboim, A. Vasconselos, J. Silva
Eletronic Journal of Communication Information & Innovation in Health, Vol 1, S. pp. 329–333, 2007.

Characterizing Regulatory Regions in E.coli using Augmented Regular Expressions
G. Menezes, E. Bareinboim, J. Silva, A. Vasconselos
In Proceedings of the 3rd Annual Brazilian Association for Bioinformatics and Computational Biology (AB3C) Conference, 2007.


November 30, 2014.