Sotabase

Career

· Associate Professor (tenured), Computer Science, Columbia University2019–
· Assistant Professor, Computer Science, Purdue University2015–
· Postdoctoral Scholar, Cognitive Systems Lab, University of California, Los Angeles (UCLA)2014–
· PhD in Computer Science, University of California, Los Angeles (UCLA)2009–
· Research Assistant, Cognitive Systems Lab, University of California, Los Angeles (UCLA)2009–
· B.Sc., M.Sc. in Computer Science, Federal University of Rio de Janeiro (UFRJ)2007–

Publications (137)

Causal inference and the data-fusion problem
Proceedings of the National Academy of Sciences of the United States of America · 2016
687
cited
External Validity: From Do-Calculus to Transportability Across Populations
Probabilistic and Causal Inference · 2014
365
cited
Transportability of Causal and Statistical Relations: A Formal Approach
2011 IEEE 11th International Conference on Data Mining Workshops · 2011
330
cited
Fairness in Decision-Making - The Causal Explanation Formula
AAAI Conference on Artificial Intelligence · 2018
308
cited
On Pearl’s Hierarchy and the Foundations of Causal Inference
Probabilistic and Causal Inference · 2022
304
cited
A General Algorithm for Deciding Transportability of Experimental Results
arXiv.org · 2013
216
cited
Controlling Selection Bias in Causal Inference
International Conference on Artificial Intelligence and Statistics · 2011
210
cited
Recovering from Selection Bias in Causal and Statistical Inference
AAAI Conference on Artificial Intelligence · 2014
189
cited
Bandits with Unobserved Confounders: A Causal Approach
Neural Information Processing Systems · 2015
184
cited
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Neural Information Processing Systems · 2021
131
cited
Transportability of Causal Effects: Completeness Results
AAAI Conference on Artificial Intelligence · 2012
131
cited
Transportability from Multiple Environments with Limited Experiments: Completeness Results
Neural Information Processing Systems · 2014
121
cited
Causal Inference by Surrogate Experiments: z-Identifiability
Conference on Uncertainty in Artificial Intelligence · 2012
118
cited
Structural Causal Bandits: Where to Intervene?
Neural Information Processing Systems · 2018
111
cited
Information Science
Nature · 1971
108
cited
Causal Inference and Data Fusion in Econometrics
Econometrics Journal · 2019
98
cited
Experimental Design for Learning Causal Graphs with Latent Variables
Neural Information Processing Systems · 2017
95
cited
Equality of Opportunity in Classification: A Causal Approach
Neural Information Processing Systems · 2018
90
cited
Counterfactual Data-Fusion for Online Reinforcement Learners
International Conference on Machine Learning · 2017
88
cited
General Identifiability with Arbitrary Surrogate Experiments
Conference on Uncertainty in Artificial Intelligence · 2019
88
cited
Sotabase
Elias Bareinboim | Researcher Profile | Sotabase | Sotabase