Elias Bareinboim
Columbia University in the City of New York
H-index: 38
North America-United States
Top articles of Elias Bareinboim
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Neural Causal Abstractions | Proceedings of the 38th AAAI Conference on Artificial Intelligence | Kevin Xia Elias Bareinboim | 2024 |
Causal discovery from observational and interventional data across multiple environments | Advances in Neural Information Processing Systems | Adam Li Amin Jaber Elias Bareinboim | 2024/2/13 |
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach | Shalmali Joshi* Junzhe Zhang* Elias Bareinboim | 2023/5 | |
Nonparametric identifiability of causal representations from unknown interventions | Advances in Neural Information Processing Systems | Julius von Kügelgen Michel Besserve Liang Wendong Luigi Gresele Armin Kekić | 2024/2/13 |
Reconciling predictive and statistical parity: A causal approach | Proceedings of the AAAI Conference on Artificial Intelligence | Drago Plecko Elias Bareinboim | 2024/3/24 |
Causal Fairness for Outcome Control | Advances in Neural Information Processing Systems | Drago Plecko Elias Bareinboim | 2024/2/13 |
Scores for learning discrete causal graphs with unobserved confounders | Alexis Bellot Junzhe Zhang Elias Bareinboim | 2023 | |
Counterfactual Image Editing | arXiv preprint arXiv:2403.09683 | Yushu Pan Elias Bareinboim | 2024/2/7 |
A Causal Framework for Decomposing Spurious Variations | Advances in Neural Information Processing Systems | Drago Plecko Elias Bareinboim | 2024/2/13 |
Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning | Foundations and Trends® in Machine Learning | Drago Plečko Elias Bareinboim | 2024/1/30 |
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments | Advances in Neural Information Processing Systems | Yonghan Jung Iván Díaz Jin Tian Elias Bareinboim | 2024/2/13 |
Transportable Representations for Domain Generalization | Proceedings of the AAAI Conference on Artificial Intelligence | Kasra Jalaldoust Elias Bareinboim | 2024/3/24 |
Causal Inference and Data-Fusion in Econometrics | The Econometrics Journal | Paul Hünermund Elias Bareinboim | 2023 |
Causally Aligned Curriculum Learning | Mingxuan Li Junzhe Zhang Elias Bareinboim | 2024 | |
Estimating joint treatment effects by combining multiple experiments | Yonghan Jung Jin Tian Elias Bareinboim | 2023/7/3 | |
Causal Effect Identification in Cluster DAGs | Proceedings of the AAAI Conference on Artificial Intelligence | Tara V Anand Adele H Ribeiro Jin Tian Elias Bareinboim | 2023/6/26 |
Editorial Special Issue on Causality: Fundamental Limits and Applications | IEEE Journal on Selected Areas in Information Theory | Negar Kiyavash Elias Bareinboim Todd Coleman Alex Dimakis Bernhard Schlkopf | 2023 |
Causal imitation learning via inverse reinforcement learning | Kangrui Ruan* Junzhe Zhang* Xuan Di Elias Bareinboim | 2022/9/29 | |
Recovering from | Probabilistic and Causal Inference: The Works of Judea Pearl | Elias Bareinboim Jin Tian Judea Pearl | 2022/3/10 |
Neural causal models for counterfactual identification and estimation | Kevin Xia Yushu Pan Elias Bareinboim | 2023/5 |
Co-Authors
