Causal Structure Learning

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19 papers in the last four weeks, up 90% on the four weeks before. 0.1% of all new papers.

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  1. Causal Modeling of Selection in Evolution

    Jun 4, 2026Haoyue Dai, Zeyu Tang, Peter Spirtes +1Structural Causal ModelsCausal Discovery

    Carnegie Mellon University · Stanford University · Mohamed bin Zayed University of Artificial Intelligence

  2. Preserving Data Privacy in Learning Causal Structure with Fully Homomorphic Encryption

    Jun 3, 2026Jian Yang, Yuan Tong, Qinbin Li +2Causal DiscoveryCausal Structure Learning

    Hong Kong University of Science and Technology (Guangzhou) · Hong Kong University of Science and Technology · University of California, Berkeley

  3. Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers

    Jun 3, 2026Edward Y. ChangLifelong Learning AgentsCausal Structure Learning

    Computer Science Stanford University

  4. Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families

    Jun 1, 2026Roel Hulsman, Carles Balsells-Rodas, Sara MagliacaneTime-Series Causal DiscoveryRegime-Switching Dynamical Systems

    University of Amsterdam · 2Adyen · 3Imperial College London +1

  5. Iterative Causal Discovery: Per-Edge Impossibility Certificates, Tier-Aware Oracle Queries, and the 1+K1+K Lower Bound

    May 26, 2026Eichi UeharaBayesian NetworksCausal Discovery

    aflo, Inc., Tokyo, Japan

  6. Evolving Causal Regulatory Networks (ECR-Net)

    May 24, 2026Govind Vallabhasseri Binish, Abdhul Ahadh, Rano Roy Kavanal +1Structural Causal ModelsCausal Discovery

  7. Learning Causal Orderings for In-Context Tabular Prediction

    May 21, 2026Sascha Xu, Sarah Mameche, Jilles VreekenIncomplete Data ImputationCausal Structure Learning

    CISPA Helmholtz Center

  8. Score-Based Causal Discovery of Latent Variable Causal Models

    May 19, 2026Ignavier Ng, Xinshuai Dong, Haoyue Dai +3Latent Variable ModelsStructural Causal Models

    Carnegie Mellon University · University of California, San Diego · Mohamed bin Zayed University of Artificial Intelligence

  9. Exploiting Non-Negativity in DAG Structure Learning

    May 19, 2026Samuel Rey, Madeline navarro, Gonzalo MateosGraph Structure LearningStructural Causal Models

    Dept. of Signal Theory and Communications, Universidad Rey Juan Carlos, Madrid, Spain · Dept. of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA · Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627, USA

  10. A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning

    May 19, 2026Honglin Du, Muxuan Liang, Xiang ZhongStructural Causal ModelsClustering

    Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA · Department of Biostatistics, MD Anderson Cancer Center, Houston, TX 77030, USA

  11. TriOpt: A Scalable Algorithm for Linear Causal Discovery

    May 17, 2026Rafat Ashraf Joy, Elena ZhelevaStructural Causal ModelsCausal Discovery

    University of Illinois Chicago

  12. PACER: Acyclic Causal Discovery from Large-Scale Interventional Data

    May 14, 2026Ramon Viñas Torné, Sílvia Fàbregas Salazar, Soyon Park +4Causal DiscoveryCausal Structure Learning

    Swiss Federal Technology Institute of Lausanne (EPFL), Switzerland · ETH Zurich, Zurich, Switzerland · Cornell University, USA

  13. A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables

    May 11, 2026Zheng Li, Feng Xie, Shenglan Nie +3Causal DiscoveryCausal Structure Learning

    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · Department of Applied Statistics, Beijing Technology and Business University, Beijing, China · College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China

  14. Coarsening Linear Non-Gaussian Causal Models with Cycles

    May 11, 2026Francisco Madaleno, Francisco C Pereira, Alex MarkhamStructural Causal ModelsCausal Discovery

    Department of Technology, Management and Economics, Technical University of Denmark · Department of Mathematical Sciences,11 University of Copenhagen

  15. Mask2Cause: Causal Discovery via Adjacency Constrained Causal Attention

    May 8, 2026Omar Muhammad, Pasupuleti Dhruv Shivkant, Deepak N. SubramaniTime-Series Causal DiscoveryCausal Structure Learning

    1Indian Institute of Science, Bengaluru, India

  16. PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning

    May 8, 2026Elahe Khatibi, Ziyu Wang, Saba A. Farahani +4Structural Causal ModelsHealthcare

    University of California, Irvine · Washington University in St. Louis

  17. Eliciting associations between clinical variables from LLMs via comparison questions across populations

    May 7, 2026Fabian Kabus, Kian Kordtomeikel, Thomas Brox +3LLM InterpretabilityCausal Structure Learning

    Institute of Medical Biometry and Statistics (IMBI), Medical Center, University of Freiburg · Department of Computer Science, Faculty of Engineering, University of Freiburg · Department of Neurology and Neurophysiology, Medical Center, University of Freiburg +1

  18. Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale

    May 7, 2026Sunmin Oh, Sang-Yun Oh, Gunwoong ParkStructural Causal ModelsCausal Discovery

    Department of Statistics, Seoul National University, South Korea · Department of Statistics and Applied Probability, University of California Santa Barbara, CA, USA · Scientific Data Division, Lawrence Berkeley National Laboratory, CA, USA +2

  19. Order-based Rehearsal Learning

    May 6, 2026Yu-Xuan Tao, Tian-Zuo Wang, Zhi-Hua ZhouCausal DiscoveryCausal Structure Learning

    National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artifcial Intelligence, Nanjing University, China

  20. M-CaStLe: Uncovering Local Causal Structures in Multivariate Space-Time Gridded Data

    May 1, 2026J. Jake Nichol, Michael Weylandt, G. Matthew Fricke +2Time-Series Causal DiscoveryClimate Science

    Scientific Machine Learning, Center for Computing Research Sandia National Laboratories · Zicklin School of Business Baruch College, CUNY · Department of Computer Science University of New Mexico +2

  21. Differentiable latent structure discovery for interpretable forecasting in clinical time series

    Apr 30, 2026Ivan Lerner, Jean Feydy, Alexandre Kalimouttou +2Irregular Time-Series ModelingHealthcare

    Universit´e Paris Cit´e and Universit´e Sorbonne Paris Nord, INRIA, Inserm, HEKA, Paris, 75015, France. · Department of Medical Informatics, Assistance Publique Hˆopitaux de Paris (AP-HP), Georges Pompidou European Hospital, Paris, France. · SIERRA, Inria Paris, Paris, 75015, France. +2

  22. Causal Learning with Neural Assemblies

    Apr 29, 2026Evangelia Kopadi, Dimitris KallesNeural ProcessesCausal Discovery

    Hellenic Open University Greece

  23. Optimization-Free Topological Sort for Causal Discovery via the Schur Complement of Score Jacobians

    Apr 28, 2026Rui Wu, Hong XieCausal DiscoveryCausal Structure Learning

    School of Computer Science and Engineering University of Science and Technology of China

  24. TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data

    Apr 27, 2026Omar Faruque, Sahara Ali, Xue Zheng +1Time-Series Causal DiscoveryCausal Structure Learning

    Department of Information Systems University of Maryland, Baltimore County Baltimore, Maryland, USA · Department of Data Science University of North Texas Denton, Texas, USA · Climate Science Section Lawrence Livermore National Laboratory Livermore, California, USA

  25. Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer

    Apr 27, 2026Liangru Xiang, Yuxi Ma, Zhihao Cao +2LLM GroundingCausal Structure Learning

    Department of Automation, Tsinghua University · State Key Laboratory of General Artificial Intelligence · Institute for Artificial Intelligence, Peking University +2

  26. Causal Representation Learning from General Environments under Nonparametric Mixing

    Apr 26, 2026Ignavier Ng, Shaoan Xie, Xinshuai Dong +2Causal Representation LearningCausal Discovery

    1Carnegie Mellon University · 2Mohamed bin Zayed University of Artificial Intelligence

  27. CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations

    Apr 16, 2026Xiangning Yu, Yuwei Guo, Yuqi Hou +2Causal DiscoveryCausal Structure Learning

    College of Intelligence and Computing, Tianjin University, Tianjin, China · Tianjin Key Laboratory of Healthy Habitat and Smart Technology, Tianjin, China · Laboratory of Computation and Analytics of Complex Management Systems, Tianjin University, Tianjin, China

  28. Learning Causal Structure of Time Series using Best Order Score Search

    Mar 5, 2026Irene Gema Castillo Mansilla, Urmi NinadTime-Series Causal DiscoveryBayesian Networks

    University of Potsdam, Potsdam, Germany · Department of Computer Science, University of Potsdam, Potsdam, Germany

  29. Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions

    Mar 2, 2026Amir Asiaee, Kavey Aryan, James P. LongSelective InferenceCausal Structure Learning

    Department of Biostatistics, Vanderbilt University Medical Center, TN 37203, USA · Department of Informatics, King’s College London, London, UK · Department of Biostatistics, MD Anderson Cancer Center, Houston, TX, USA

  30. MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions

    Oct 25, 2025Hans Jarett Ong, Yoichi Chikahara, Tomoharu IwataMeta-LearningCausal Discovery

    Nara Institute of Science and Technology, Nara, Japan · NTT Communication Science Laboratories, Kyoto, Japan