PPaperPicks

Elias Bareinboim

Columbia University, New York, NY, USA

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

Venues

Frequent coauthors

Junzhe Zhang
×7
Drago Plecko
×4
Yushu Pan
×4
Mingxuan Li
×3
Jin Tian
×3
Kevin Xia
×2
Adiba Ejaz
×2
Kasra Jalaldoust
×2
Alexis Bellot
×2
Hongshuo Yang
×1
Tara V. Anand
×1
Adèle H. Ribeiro
×1

Papers

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