← All authors Elias Bareinboim Columbia University (from arXiv:1912.09104, 2019) · OpenAlex
55 papers in scope · 55 published · 1 on the econ.EM arXiv · 2,392 citations · h-index 24 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Robin M. Cross Steven T. Buccola Fernando Delbianco Paul Hünermund Rajeev Dehejia Cristian Pop-Eleches Beyers Louw Cyrus Samii Raffaele Sgarlato Silvana Tiedemann Lion Hirth Felix Schur Oliver Ruhnau Jonas Peters Henri Pfleiderer Tobias Dalhaus Stefan Hirsch Hugo Storm David Wuepper Guy Low Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 55)
Fairness-Accuracy Trade-Offs: A Causal Perspective
published 2025 · Proceedings of the AAAI Conference on Artificial Intelligence · 7 citations · first circulated 2024
with Drago Plečko
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
published 2025 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations · first circulated 2024
with Hyunchai Jeong, Adiba Ejaz, Jin Tian
Counterfactual Identification Under Monotonicity Constraints
published 2025 · Proceedings of the AAAI Conference on Artificial Intelligence
with Aurghya Maiti, Drago Plečko
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 4 citations
with Shalmali Joshi, Junzhe Zhang
Reconciling Predictive and Statistical Parity: A Causal Approach
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 3 citations · first circulated 2023
with Drago Plečko
Scores for Learning Discrete Causal Graphs with Unobserved Confounders
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations
with Alexis Bellot, Junzhe Zhang
Neural Causal Abstractions
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations
with Kevin Xia
Transportable Representations for Domain Generalization
published 2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations
with Kasra Jalaldoust
Causal Effect Identification in Cluster DAGs
published 2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 5 citations · first circulated 2022
with Tara V. Anand, Adèle H. Ribeiro, Jin Tian
published 2023 · Econometrics Journal · 68 citations · first circulated 2019
Editorial Special Issue on Causality: Fundamental Limits and Applications
published 2023 · IEEE Journal on Selected Areas in Information Theory
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
published 2021 · Neural Information Processing Systems · 3 citations
with Yonghan Jung, Jin Tian
no link
Transportability of Causal Effects: Completeness Results
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 85 citations · first circulated 2012
with Judea Pearl
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
published 2021 · International Conference on Machine Learning · 2 citations
with Yonghan Jung, Jin Tian
no link
Estimating Identifiable Causal Effects through Double Machine Learning
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 41 citations
with Yonghan Jung, Jin Tian
Bounding Causal Effects on Continuous Outcome
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 17 citations
with Junzhe Zhang
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 39 citations
with Juan D. Correa
Estimating Causal Effects Using Weighting-Based Estimators
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 18 citations
with Yonghan Jung, Jin Tian
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 12 citations
with Sanghack Lee, Juan D. Correa
Identifiability from a Combination of Observations and Experiments
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations
with Sanghack Lee, Juan D. Correa
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations.
published 2020 · AMIA
no link
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
published 2020 · Neural Information Processing Systems · 23 citations
with Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam
no link
Learning Causal Effects via Weighted Empirical Risk Minimization
published 2020 · Neural Information Processing Systems · 16 citations
with Yonghan Jung, Jin Tian
no link
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
published 2020 · Neural Information Processing Systems · 9 citations
with Sanghack Lee
no link
General Transportability of Soft Interventions: Completeness Results
published 2020 · Neural Information Processing Systems · 3 citations
with Juan D. Correa
no link
Structural Causal Bandits with Non-Manipulable Variables
published 2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 25 citations
with Sanghack Lee
Identification of Causal Effects in the Presence of Selection Bias
published 2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 20 citations
with Juan D. Correa, Jin Tian
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
published 2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 10 citations
with Andrew Forney
Identification of Conditional Causal Effects under Markov Equivalence
published 2019 · International Conference on Machine Learning · 21 citations · first circulated 2018
with Amin Jaber, Jiji Zhang
Sensitivity Analysis of Linear Structural Causal Models
published 2019 · International Conference on Machine Learning · 27 citations
no link
Adjustment Criteria for Generalizing Experimental Findings
published 2019 · International Conference on Machine Learning · 4 citations
with Juan D. Correa, Jin Tian
no link
General Identifiability with Arbitrary Surrogate Experiments
published 2019 · Uncertainty in Artificial Intelligence · 30 citations
with Sanghack Lee, Juan D. Correa
no link
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes
published 2019 · Neural Information Processing Systems · 24 citations
with Junzhe Zhang
no link
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
published 2019 · Neural Information Processing Systems · 24 citations
with Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam
no link
Structural causal bandits: where to intervene?
published 2018 · neural information processing systems · 31 citations
with Sanghack Lee
no link
Note on ‘‘Generalizability of Study Results‘‘
published 2018 · Epidemiology · 16 citations
with Judea Pearl
Non-Parametric Path Analysis in Structural Causal Models
published 2018 · Uncertainty in Artificial Intelligence · 3 citations
with Junzhe Zhang
no link
Generalized Adjustment Under Confounding and Selection Biases
published 2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 35 citations
with Juan D. Correa, Jin Tian
Fairness in Decision-Making — The Causal Explanation Formula
published 2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 200 citations
with Junzhe Zhang
Equality of Opportunity in Classification: A Causal Approach
published 2018 · Neural Information Processing Systems · 37 citations
with Junzhe Zhang
no link
Counterfactual Data-Fusion for Online Reinforcement Learners.
published 2017 · International Conference on Machine Learning · 44 citations
with Andrew Forney, Judea Pearl
no link
Transfer Learning in Multi-Armed Bandit: A Causal Approach
published 2017 · Adaptive Agents and Multi-Agents Systems · 38 citations
with Junzhe Zhang
Causal Effect Identification by Adjustment under Confounding and Selection Biases
published 2017 · Proceedings of the AAAI Conference on Artificial Intelligence · 25 citations
with Juan D. Correa
Experimental Design for Learning Causal Graphs with Latent Variables
published 2017 · Neural Information Processing Systems · 38 citations
with Murat Kocaoglu, Karthikeyan Shanmugam
no link
Learning Causal Graphs with Latent Variables
published 2017 · Neural Information Processing Systems
with Murat Kocaoglu, Karthikeyan Shanmugam
no link
Causal inference and the data-fusion problem
published 2016 · Proceedings of the National Academy of Sciences · 639 citations
with Judea Pearl
Preface to the ACM TIST Special Issue on Causal Discovery and Inference
published 2016 · ACM Transactions on Intelligent Systems and Technology · 1 citations
Bandits with unobserved confounders: a causal approach
published 2015 · neural information processing systems · 88 citations
with Andrew Forney, Judea Pearl
no link
Recovering Causal Effects from Selection Bias
published 2015 · Proceedings of the AAAI Conference on Artificial Intelligence · 40 citations
with Jin Tian
Generalizing causal knowledge
published 2014 · AI Matters
with Judea Pearl
Recovering from Selection Bias in Causal and Statistical Inference
published 2014 · Proceedings of the AAAI Conference on Artificial Intelligence · 98 citations
with Jin Tian, Judea Pearl
Causal Transportability with Limited Experiments
published 2013 · Proceedings of the AAAI Conference on Artificial Intelligence · 31 citations
with Judea Pearl
A General Algorithm for Deciding Transportability of Experimental Results
published 2013 · Journal of Causal Inference · 210 citations
with Judea Pearl
Transportability of Causal and Statistical Relations: A Formal Approach
published 2011 · Proceedings of the AAAI Conference on Artificial Intelligence · 182 citations
with Judea Pearl
Controlling Selection Bias in Causal Inference
published 2011 · Proceedings of the AAAI Conference on Artificial Intelligence · 88 citations
with Judea Pearl
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.
Built from arXiv and OpenAlex. Supported by UKRI grant APP47921 (Martin Weidner, UCL · Francis J. DiTraglia, Oxford).