Causal Inference with Unobserved Confounding

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37 papers11 papers in the last four weeks, up 83% on the four weeks before. 0.1% of all new papers.

  1. Instrumental Variables in Continuous-Time Stochastic Processes

    Nov 5, 2026Lars Pennig, Søren Wengel Mogensen, Niki KilbertusCausal Effect EstimationInstrumental Variable Estimation

    Technical University of Munich; Helmholtz Munich; Munich Center for Machine Learning · Center for Statistics, Department of Finance; Copenhagen Business School

  2. From Confounding to Counterfactuals: A Cross-Layer Causal Model for RAN Scheduling

    Oct 31, 2026Artin Elhamirad, Christo Kurisummoottil Thomas, Ali TajerWireless Resource AllocationStructural Causal Models

    Department of Electrical & Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA · Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

  3. Outstrumental Variable Regression

    Oct 30, 2026Felix Schur, Linus Kühne, Julius von Kügelgen +1Causal Effect EstimationCausal Inference

    Seminar for Statistics, ETH Zurich · ETH AI Center, ETH Zurich

  4. Reinforcement Learning Under Runtime Confounding: Policy Learning and Off-Policy Evaluation

    Oct 29, 2026Raphael Kim, Michele Santacatterina, Ramin Zabih +1Off-Policy EvaluationCausal RL

    Cornell Tech, Cornell University · Division of Biostatistics, NYU Grossman School of Medicine · Department of Biostatistics, Johns Hopkins University

  5. Transportable Offline Reinforcement Learning in Presence of Unmeasured Confounding

    Oct 28, 2026Junyi Liao, Hangqi Ren, Zhuoran YangOffline RLCausal Inference with Unobserved Confounding

    Department of Electrical and Computer Engineering, Duke University · Department of Electrical and Computer Engineering, Vanderbilt University · Department of Statistics and Data Science, Yale University

  6. Correctness Conditioning as Selection in Chain-of-Thought Faithfulness Evaluation

    Oct 27, 2026Yueer Pan, Yuexi PanCoT FaithfulnessCausal Inference with Unobserved Confounding

    Zhejiang University · University of Science and Technology of China

  7. Sharp Bounds on Continuous Treatment Effects under Unobserved Confounding

    Oct 23, 2026Junzhe ZhangCausal Effect EstimationCausal Inference with Unobserved Confounding

    Syracuse University

  8. Forecasting Associations, Not Interventions: A Preregistered Causal Audit of Covariate-Aware Time Series Foundation Models

    Oct 22, 2026Zong-Han BaiTime-Series Foundation ModelsCausal Effect Estimation

    National Tsing Hua University, Hsinchu, Taiwan.

  9. Identifiability from Stationary Covariance in Linear SDEs with Reciprocal Interactions and Latent Variables

    Oct 22, 2026Ana Leticia Garcez Vicente, Saber SalehkaleybarCausal IdentifiabilityStochastic Differential Equations

    Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Netherlands

  10. 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

  11. Causal Value Attribution of Marketing Labels in LLM-Generated Ads: A Deconfounder Approach

    Oct 16, 2026Danhong You, Wei Jiang, Zhiqiang +1Causal InferenceCausal Inference with Unobserved Confounding

    Eric · Shanghai Jiao Tong University · University of Texas at Dallas

  12. 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

  13. 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

  14. 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

  15. 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.

  16. 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

  17. 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

  18. 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

  19. Foundation Models for Partial Causal Identification

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

    Independent · University College London

  20. 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

  21. 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, MIT · EECS, IDSS, LIDS, SDSC, MIT

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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