Elias Bareinboim
Email: eb at cs dot ucla dot edu
PhD candidate
Cognitive Systems Laboratory
Computer Science Department
University of California, Los Angeles
Research interests:
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Causality and applications in Bioinformatics, Public Health, and Economics.
- Artificial Intelligence, Machine Learning, and Statistics.
Selected publications (full list):
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E. Bareinboim, J. Pearl,
“Causal Transportability with Limited Experiments,”
27th Conference on Artificial Intelligence (AAAI), 2013, forthcoming.
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E. Bareinboim, J. Pearl,
“Meta-Transportability of Causal Effects: A formal approach,”
16th International Conference on Artificial Intelligence and Statistics (AISTATS),
2013, forthcoming.
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E. Bareinboim, J. Pearl,
“Causal Inference by Surrogate Experiments,”
28th Conference on Uncertainty in Artificial Intelligence (UAI), 2012, Catalina Island, CA.
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E. Bareinboim, J. Pearl,
“Transportability of Causal Effects: Completeness Results,”
26th Conference on Artificial Intelligence (AAAI), 2012, Toronto, Canada.
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E. Bareinboim, J. Pearl,
“Controlling Selection Bias in Causal Inference,”
15th International Conference on Artificial Intelligence and Statistics (AISTATS),
2012, La Palma, Canary Islands.
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E. Bareinboim, C. Brito, J. Pearl,
“Local Characterizations of Causal Bayesian Networks,”
Lecture Notes in Artificial Intelligence (LNAI), Springer, 2012.
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J. Pearl, E. Bareinboim,
“Transportability of Causal and Statistical relations: A formal approach,”
25th Conference on Artificial Intelligence (AAAI), 2011, San Francisco, CA.
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P. Carvalho, J. Fischer, J. Perales, J. Yates III,
V.C. Barbosa, E. Bareinboim,
“Analyzing marginal cases in differential shotgun proteomics,”
Bioinformatics
27, 2011, 275–276.
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E. Bareinboim, V.C. Barbosa,
“Descents and nodal load in scale-free networks,”
Physical Review E
77, 2008, 046111.
Academic service:
- Journals (reviewer): Statistics in Medicine, Statistics, J. of Machine Learning Research (JMLR), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), J. of Causal Inference, Bioinformatics, J. of Proteome Research, J. of Proteomics, Physica A.
- Conferences (PC): IEEE-BigData-13, IJCAI-13, AAAI-13, UAI-13, ICML-13, UAI-12, ICML-12, IJCAI-11, NIPS-11(R), UAI-11, MMIS-ICDM-11, KR-10(R).
Presentations (invited talks, tutorials):
- "Causality and Big Data," EMC Summer School on Big Data, Rio de Janeiro, Brazil, Feb/2013.
- "Generalizability in Causal Inference," MURI/ONR, UCLA, Los Angeles, California, Oct/2012.
- "An Introduction to Causal Inference," 2nd IEEE Conference on Healthcare Informatics and Systems Biology (Big Data), La Jolla, California, Sep/2012.
- "Causal Analysis," Graduate School of Engineering, COPPE/Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil, May/2012.
- "Causal Analysis," Computer Science Colloquium, CS-Math/Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil, May/2012.
- "External Validity and Transportability: A Formal Approach," 58th World Congress of Statistics, International Statistics Institute (ISI), Dublin, Ireland, Aug/2011.
- "Causal analysis (with emphasis on transportability and selection bias)," DERI/National University of Ireland (NUI), Galway, Ireland, Aug/2011.
March 19, 2013