PPaperPicks

Elias Bareinboim

Columbia University, New York, NY, USA

27 papers at tracked venues · 26 at CORE A* · active 2024–2025

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Venues

NeurIPS ×12AAAI ×8ICML ×4ICLR ×2UAI ×1

Frequent coauthors

Mingxuan Li
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Drago Plecko
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Kevin Xia
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Yushu Pan
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Kasra Jalaldoust
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Hongshuo Yang
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Tara V. Anand
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Junzhe Zhang
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Juan D. Correa
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Aurghya Maiti
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Arvind Raghavan
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Inwoo Hwang
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Papers

  1. A Hierarchy of Graphical Models for Counterfactual Inferences
    NeurIPS 2025 ·
    Hongshuo Yang
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  2. Automatic Reward Shaping from Confounded Offline Data
    ICML 2025 ·
    Mingxuan Li
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  3. Causal Abstraction Inference under Lossy Representations
    ICML 2025 ·
    Kevin Muyuan Xia
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  4. Causal Discovery over Clusters of Variables in Markovian Systems
    NeurIPS 2025 ·
    Tara V. Anand
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  5. Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
    UAI 2025 ·
    Junzhe Zhang
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  6. Confounding Robust Deep Reinforcement Learning: A Causal Approach
    NeurIPS 2025 ·
    Mingxuan Li
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  7. Counterfactual Graphical Models: Constraints and Inference
    ICML 2025 ·
    Juan D. Correa
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  8. Counterfactual Identification Under Monotonicity Constraints
    AAAI 2025 ·
    Aurghya Maiti
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  9. Counterfactual Image Editing with Disentangled Causal Latent Space
    NeurIPS 2025 ·
    Yushu Pan
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  10. Counterfactual Realizability
    ICLR 2025 ·
    Arvind Raghavan
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  11. Fairness-Accuracy Trade-Offs: A Causal Perspective
    AAAI 2025 ·
    Drago Plecko
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  12. From Black-box to Causal-box: Towards Building More Interpretable Models
    NeurIPS 2025 ·
    Inwoo Hwang
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  13. Less Greedy Equivalence Search
    NeurIPS 2025 ·
    Adiba Ejaz
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  14. Structural Causal Bandits under Markov Equivalence
    NeurIPS 2025 ·
    Min Woo Park
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  15. Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
    AAAI 2025 ·
    Hyunchai Jeong
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  16. Causal Imitation for Markov Decision Processes: a Partial Identification Approach
    NeurIPS 2024 ·
    Kangrui Ruan
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  17. Causally Aligned Curriculum Learning
    ICLR 2024 ·
    Mingxuan Li
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  18. Counterfactual Image Editing
    ICML 2024 ·
    Yushu Pan
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  19. Disentangled Representation Learning in Non-Markovian Causal Systems
    NeurIPS 2024 ·
    Adam Li
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  20. Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
    NeurIPS 2024 ·
    Drago Plecko
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  21. Neural Causal Abstractions
    AAAI 2024 ·
    Kevin Xia
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  22. Partial Transportability for Domain Generalization
    NeurIPS 2024 ·
    Kasra Jalaldoust
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  23. Reconciling Predictive and Statistical Parity: A Causal Approach
    AAAI 2024 ·
    Drago Plecko
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  24. Scores for Learning Discrete Causal Graphs with Unobserved Confounders
    AAAI 2024 ·
    Alexis Bellot
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  25. Towards Safe Policy Learning under Partial Identifiability: A Causal Approach
    AAAI 2024 ·
    Shalmali Joshi
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  26. Transportable Representations for Domain Generalization
    AAAI 2024 ·
    Kasra Jalaldoust
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  27. Unified Covariate Adjustment for Causal Inference
    NeurIPS 2024 ·
    Yonghan Jung
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