Causal Inference with Unobserved Confounding

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24 papers6 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. DeDiCa: A Scalable Deconfounding Discrete Causal Generative Model

    Oct 16, 2026Kunchangtai Liang, Adrián Javaloy, Antonio Vergari +1Causal InferenceCausal Effect Estimation

    Department of Computer Science, Saarland University, Saarbrücken, Germany · Department of Computer Science, University of Bath, Bath, United Kingdom · School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

  2. ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding

    Oct 6, 2026Christophe Muller, Ayub Kharel, Alex Luedtke +6Causal InferenceAmortized Inference

    University of Oxford · Harvard University · University of Illinois Urbana-Champaign +5

  3. Proximal Causal Learning under Unmeasured Confounding

    Oct 3, 2026Ying Tang, Yi WangProximal Causal InferenceCausal Effect Estimation

    Shanghai University of International Business and Economics, Shanghai 201620, China

  4. Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding

    Sep 30, 2026Yonghan JungCausal Effect EstimationProximal Causal Inference

    School of Information Sciences University of Illinois Urbana-Champaign

  5. LUCID: Learning Under Confounding for Inference and Discovery in Time Series

    Sep 25, 2026Mohammad FesangharyTime-Series Causal DiscoveryCausal Inference with Unobserved Confounding

    Bloomberg L.P.

  6. Learning Risk Scores Robust to Unobserved Confounders

    Sep 22, 2026Ryan Edmonds, Yingxiao Ye, Sina Aghaei +3Inverse Probability WeightingCausal Inference with Unobserved Confounding

    Center for Artificial Intelligence in Society, University of Southern California, Los Angeles, CA 90089, USA · Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA 90089, USA · Department of Engineering, Department of Economics and Management, University of Luxembourg, L-1359 Luxembourg

  7. Causal Inference with Unobserved Confounding: A Mixture Learning Perspective

    Sep 19, 2026Mansi Sood, Devavrat ShahCausal Inference with Unobserved ConfoundingCausal Inference

    Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA 02139 USA

  8. Provable Guarantees and Efficient Learning of Structural Equation Models with Latent Confounders

    Sep 16, 2026Weijian Yu, Jean HonorioStructural Causal ModelsLow-Rank Matrix Decomposition

    CIS, The University of Melbourne

  9. Foundation Models for Partial Causal Identification

    Aug 21, 2026Alexis Bellot, Anish DhirCausal Foundation ModelsCausal Effect Estimation

    Independent · University College London

  10. Spatiotemporal Proximal Causal Inference under Hidden Confounding and Interference

    Aug 2, 2026Omar Faruque, Pavan Raj Ravi, Jianwu WangCausal Effect EstimationProximal Causal Inference

    University of Maryland, Baltimore County

  11. Causal Inference for Sequential Settings under Interference and Latent Confounding

    Jul 16, 2026Phevos Paschalidis, Constantinos Daskalakis, Devavrat ShahCausal Effect EstimationCausal Inference with Unobserved Confounding

    EECS, LIDS, CSAIL · MIT · EECS, CSAIL +1

  12. Cross-Head Attention Uplift Network with Inverse Propensity Score under Unobserved Confounding

    Jun 25, 2026Haoran Zhang, Chuanpu Li, Yuxin Fu +4Inverse Probability WeightingCausal Effect Estimation

    Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China · Alibaba Group, Beijing, China

  13. Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding

    Jun 20, 2026Junzhe Zhang, Jingyuan Chen, Elias BareinboimCausal Effect EstimationCausal Inference with Unobserved Confounding

    Department of Electrical Engineering and Computer Science, Syracuse University · Department of Computer Science, Columbia University

  14. Root Cause Analysis with Latent Confounders using Partial Ancestral Graphs

    Jun 18, 2026Henrique O. Caetano, Rafael Arone, Carlos Dias MacielCausal Inference with Unobserved ConfoundingPartial Identification

    Signal Processing Laboratory, São Carlos School of Engineering, University of São Paulo, São Paulo, Brazil · Guaratinguetá School of Engineering, São Paulo State University, Guaratinguetá, Brazil

  15. FoundCause: Causal Discovery with Latent Confounders from Observational Data

    Jun 16, 2026Patrick Blöbaum, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanStructural Causal ModelsAmortized Inference

    Amazon Web Services · Department of Statistics, University of California, Davis

  16. Confounder Detection via Treatment Intent: A New Observational Study Design

    May 26, 2026Drago Plecko, Patrik Okanovic, Torsten Hoefler +1Causal InferenceCausal Inference with Unobserved Confounding

    Department of Statistics & Data Science UCLA · Department of Computer Science ETH Zurich · Causal AI Lab Columbia University

  17. Observing the unobserved confounding through its effects: toward randomized trial-like estimates from real-world survival data

    Apr 13, 2026Vasiliki Stoumpou, Dimitris Bertsimas, Samuel Singer +1Causal Inference with Unobserved ConfoundingCausal Effect Estimation

    Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA · Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA · Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA +1

  18. Identifying Causal Effects Using a Single Proxy Variable

    Apr 10, 2026Silvan Vollmer, Niklas Pfister, Sebastian WeichwaldCausal Effect EstimationCausal Inference with Unobserved Confounding

    Department of Mathematical Sciences University of Copenhagen Copenhagen, Denmark · Lakera AI Zurich, Switzerland

  19. Copula-ResLogit: A Deep-Copula Framework for Unobserved Confounding Effects

    Mar 11, 2026Kimia Kamal, Bilal FarooqCausal Inference with Unobserved ConfoundingCausal Inference

    Laboratory of Innovations in Transportation (LiTrans), Toronto Metropolitan University, Toronto, Canada

  20. Instrumental and Proximal Causal Inference with Gaussian Processes

    Mar 2, 2026Yuqi Zhang, Krikamol Muandet, Dino Sejdinovic +2Proximal Causal InferenceCausal Inference

    Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong · Rational Intelligence Lab, CISPA Helmholtz Center for Information Security, Germany · Australian Institute for Machine Learning, Adelaide University, Australia +1

  21. Uncertainty-aware Causal Decision Making via Effect Bound Decomposition

    Jan 30, 2026Md Musfiqur Rahman, Ziwei Jiang, Hilaf Hasson +1Causal Effect EstimationParameter Identifiability

    Electrical and Computer Engineering, Purdue University · Computer Science, Johns Hopkins University · Cohesity

  22. Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity

    Oct 22, 2025Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1Time-Series Causal DiscoveryCausal Discovery

    Texas A&M University · University of Tennessee at Chattanooga · Brookhaven National Laboratory

  23. Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference

    Oct 9, 2025Ayush Khot, Miruna Oprescu, Maresa Schröder +2Causal Effect EstimationCausal Inference

    University of Illinois at Urbana-Champaign · Cornell University, Cornell Tech · LMU Munich, Munich Center for Machine Learning (MCML) +1

  24. Causal Discovery in Mixtures of Populations

    Nov 13, 2023Bijan Mazaheri, Spencer Gordon, Yuval Rabani +1Latent Variable ModelsCausal Discovery

    Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA · Fragment Data Technologies, San Francisco, California, USA · Department of Computer Science, Hebrew Univeristy of Jerusalem, Jerusalem, Israel +1