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Elias Bareinboim

Columbia University · US
Area of research
Artificial Intelligence · Statistics and Probability
Research interest
Research interests include Bayesian Modeling and Causal Inference, Advanced Causal Inference Techniques, Machine Learning and Algorithms, and Statistical Methods and Inference.
h-index
30
citations
3,758
works
151
NIH funding
primary concept
email

Recent publications

Recovering from Selection Bias in Causal and Statistical Inference
ACM eBooks 2022cited by 96position: firstdoi
Causal inference and the data-fusion problem
Proceedings of the National Academy of Sciences 2016cited by 617position: firstdoi
Recovering from Selection Bias in Causal and Statistical Inference
Proceedings of the AAAI Conference on Artificial Intelligence 2014cited by 92position: firstdoi
External validity: From do-calculus to transportability across populations
2013cited by 419position: last
A General Algorithm for Deciding Transportability of Experimental Results
Journal of Causal Inference 2013cited by 209position: firstdoi

Grants

CISE: Large: Causal Foundations for Decision Making and Learning
NSF2321786$3,250,0002023–2028PIRePORTER
Collaborative Research: EAGER: RI: Causal Decision-Making
NSF2231796$150,0002022–2024PIRePORTER
III: Towards Causal Fair Decision-making
NSF2040971$739,5002021–2024PIRePORTER
CAREER: Approximate Causal Inference
NSF2011497$391,5292019–2023PIRePORTER
RI: Medium: Collaborative Research: Causal Inference: Identification, Learning, and Decision-Making
NSF2011463$341,9252019–2020PIRePORTER
CAREER: Approximate Causal Inference
NSF1750807$197,4292018–2020PIRePORTER
RI: Medium: Collaborative Research: Causal Inference: Identification, Learning, and Decision-Making
NSF1704908$536,5132017–2020PIRePORTER

Frequent collaborators

Judea Pearl · University of California, Los Angeles5 papers (2013–2022)Jin Tian · Iowa State University2 papers (2014–2022)