| External Validity: From do-calculus to Transportability across Populations J Pearl, E Bareinboim Statistical Science 29 (4), 579-595, 2012 | 311 | 2012 |
| Causal inference and the data-fusion problem E Bareinboim, J Pearl Proceedings of the National Academy of Sciences 113 (27), 7345-7352, 2016 | 306 | 2016 |
| Transportability of causal and statistical relations: A formal approach J Pearl, E Bareinboim Proceedings of the 25th National Conference on Artificial Intelligence (AAAI …, 2011 | 218* | 2011 |
| A General Algorithm for Deciding Transportability of Experimental Results E Bareinboim, J Pearl Journal of Causal Inference 1 (1), 107-134, 2013 | 134 | 2013 |
| Controlling selection bias in causal inference E Bareinboim, J Pearl Proceedings of the 15th International Conference on Artificial Intelligence …, 2011 | 104 | 2011 |
| Recovering from selection bias in causal and statistical inference E Bareinboim, J Tian, J Pearl Proceedings of the 28th National Conference on Artificial Intelligence (AAAI …, 2014 | 94 | 2014 |
| Fairness in decision-making—the causal explanation formula J Zhang, E Bareinboim Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 86 | 2018 |
| Transportability of causal effects: Completeness results E Bareinboim, J Pearl Proceedings of the 26th National Conference on Artificial Intelligence (AAAI …, 2012 | 84 | 2012 |
| Causal inference by surrogate experiments: z-identifiability E Bareinboim, J Pearl Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence …, 2012 | 76 | 2012 |
| Bandits with unobserved confounders: A causal approach E Bareinboim, A Forney, J Pearl Advances in Neural Information Processing Systems 28, 1342-1350, 2015 | 67 | 2015 |
| Meta-Transportability of Causal Effects: A Formal Approach E Bareinboim, J Pearl Proceedings of the 16th International Conference on Artificial Intelligence …, 2013 | 56 | 2013 |
| Transportability from multiple environments with limited experiments: Completeness results E Bareinboim, J Pearl Advances in neural information processing systems 27, 280-288, 2014 | 54 | 2014 |
| Recovering causal effects from selection bias E Bareinboim, J Tian Proceedings of the Twenty-Ninth National Conference on Artificial …, 2015 | 41 | 2015 |
| Causal transportability with limited experiments E Bareinboim, J Pearl Proceedings of the 27th National Conference on Artificial Intelligence (AAAI), 2013 | 41 | 2013 |
| Transfer Learning in Multi-Armed Bandit: A Causal Approach J Zhang, E Bareinboim Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 32 | 2017 |
| Counterfactual data-fusion for online reinforcement learners A Forney, J Pearl, E Bareinboim International Conference on Machine Learning, 1156-1164, 2017 | 31 | 2017 |
| Experimental design for learning causal graphs with latent variables M Kocaoglu, K Shanmugam, E Bareinboim Advances in Neural Information Processing Systems, 7018-7028, 2017 | 30 | 2017 |
| Equality of opportunity in classification: A causal approach J Zhang, E Bareinboim Proceedings of the 32nd International Conference on Neural Information …, 2018 | 29 | 2018 |
| Budgeted Experiment Design for Causal Structure Learning AE Ghassami, S Salehkaleybar, N Kiyavash, E Bareinboim International Conference on Machine Learning, 1719-1728, 2018 | 27 | 2018 |
| Local characterizations of causal Bayesian networks E Bareinboim, C Brito, J Pearl Graph Structures for Knowledge Representation and Reasoning, 1-17, 2012 | 27 | 2012 |
Judea PearlProfessor of Computer Science, University of California, Los AngelesBestätigte E-Mail-Adresse bei cs.ucla.edu
