| Fairness in decision-making—the causal explanation formula J Zhang, E Bareinboim Proceedings of the... AAAI Conference on Artificial Intelligence, 2018 | 364 | 2018 |
| Equality of opportunity in classification: A causal approach J Zhang, E Bareinboim Advances in neural information processing systems 38, 2018 | 110 | 2018 |
| Transfer learning in multi-armed bandit: a causal approach J Zhang, E Bareinboim Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 109 | 2017 |
| Partial counterfactual identification from observational and experimental data J Zhang, J Tian, E Bareinboim International Conference on Machine Learning, 26548-26558, 2022 | 106* | 2022 |
| Causal imitation learning with unobserved confounders J Zhang, D Kumor, E Bareinboim Advances in neural information processing systems 33, 12263-12274, 2020 | 85 | 2020 |
| Near-optimal reinforcement learning in dynamic treatment regimes J Zhang, E Bareinboim Advances in Neural Information Processing Systems 32, 2019 | 83 | 2019 |
| Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach J Zhang, E Bareinboim Thirty-seventh International Conference on Machine Learning, 2020 | 80 | 2020 |
| Can Humans Be out of the Loop? J Zhang, E Bareinboim First Conference on Causal Learning and Reasoning, 2021, 2022 | 73* | 2022 |
| Bounding Causal Effects on Continuous Outcomes J Zhang, E Bareinboim Proceedings of the... AAAI Conference on Artificial Intelligence, 2021 | 43 | 2021 |
| Causal imitation learning via inverse reinforcement learning K Ruan*, J Zhang*, X Di, E Bareinboim The Eleventh International Conference on Learning Representations, 2022 | 38 | 2022 |
| Sequential causal imitation learning with unobserved confounders D Kumor, J Zhang, E Bareinboim Advances in Neural Information Processing Systems 34, 14669-14680, 2021 | 37 | 2021 |
| Non-parametric path analysis in structural causal models J Zhang, E Bareinboim Proceedings of the 34th conference on uncertainty in artificial intelligence, 2018 | 16 | 2018 |
| Towards Safe Policy Learning under Partial Identifiability: A Causal Approach S Joshi*, J Zhang*, E Bareinboim Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence, 2023 | 6 | 2023 |
| Online reinforcement learning for mixed policy scopes J Zhang, E Bareinboim Advances in Neural Information Processing Systems 35, 3191-3202, 2022 | 6 | 2022 |
| Scores for learning discrete causal graphs with unobserved confounders A Bellot, J Zhang, E Bareinboim Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11043 …, 2024 | 5 | 2024 |
| Causal Imitation for Markov Decision Processes: A Partial Identification Approach K Ruan, J Zhang, X Di, E Bareinboim Advances in neural information processing systems 38, 2024 | 5 | 2024 |
| Causally Aligned Curriculum Learning M Li, J Zhang, E Bareinboim The Twelfth International Conference on Learning Representations., 2024 | 3 | 2024 |
| Characterizing the limits of autonomous systems J Zhang, E Bareinboim Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 3 | 2018 |
Elias BareinboimColumbia UniversityEmail được xác minh tại columbia.edu