Causal Discovery

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17 papers in the last four weeks, up 183% on the four weeks before. 0.2% of all new papers.

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  1. Causal Discovery in the Era of Agents

    Jun 22, 2026Yujia Zheng, Vishal Verma, Mantej Gill +3AI Agents for Scientific DiscoveryCausal Discovery

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

  2. One Ruler: A Same-Hands Re-Evaluation of Bivariate Causal Direction on Tuebingen, with a Parameter-Free Compression Baseline

    Jun 22, 2026Wietse StienstraCausal DiscoveryBenchmark Validity

    State of the Art — Compression Lab

  3. A Survey on Federated Causal Discovery and Inference

    Jun 21, 2026Xianjie Guo, Yuwei Wang, Guodu Xiang +4Causal Effect EstimationCausal Discovery

    School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China · School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China · College of Computing and Data Science, Nanyang Technological University, Singapore 639798 +1

  4. DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal Foundation ModelsStructural Causal Models

    College of Computer Science and Technology Zhejiang University

  5. Latent Confounded Causal Discovery via Lie Bracket Geometry

    Jun 17, 2026Sridhar MahadevanCausal DiscoveryCausal Intervention

    Adobe Research and University of Massachusetts, Amherst

  6. Unsupervised Causal Abstractions Discovery

    Jun 17, 2026Théo Saulus, Simon Lacoste-Julien, Dhanya SridharStructural Causal ModelsCausal Discovery

    Mila - Quebec AI Institute · Université de Montréal · Canada CIFAR AI Chair

  7. Identifying Structural Biases from Causal Mechanism Shifts

    Jun 17, 2026Praharsh Nanavati, Jilles Vreeken, David KaltenpothStructural Causal ModelsCausal Discovery

    CISPA Helmholtz Center for Information Security

  8. Tensor-based second-order causal discovery

    Jun 16, 2026Nathan Ouyang, Kexin Wang, Anna SeigalStructural Causal ModelsCausal Discovery

  9. Fast Nonparametric Conditional Independence Testing via Two-Stage Regression

    Jun 16, 2026Eric V. StroblCausal DiscoveryCausal Structure Learning

    Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15213, USA

  10. 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

  11. From Tokens to Policy: Causal and Interpretable Heterogeneous Treatment Effects Identification

    Jun 15, 2026Riccardo Cadei, Frank Otchere, Nyasha Tirivayi +3Causal Effect EstimationConditional Average Treatment Effect Estimation

    ISTA · UNICEF · UCLA

  12. SDVDiag: Multimodal Causal Discovery for Online Diagnosis in Software-defined Vehicles

    Jun 14, 2026Matthias Weiß, Athreya Hosahalli Prakash, Falk Dettinger +2Causal DiscoveryRoot Cause Analysis

    Institute of Industrial Automation and Software Engineering (IAS) University of Stuttgart Pfaffenwaldring 47, 70550 Stuttgart, Germany

  13. Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting

    Jun 9, 2026Xinyu Li, Yuanyuan Wang, Haoxuan Li +7Causal DiscoveryCausal Structure Learning

    The University of Melbourne · MBZUAI · Peking University +4

  14. Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery

    Jun 8, 2026Suraj Biswas, Saurabh Gupta, Pritam MukherjeeContrastive LearningSentence Embeddings

    ¹ Assessli Research · ² Dots-In Research, Bengaluru, India

  15. Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables

    Jun 6, 2026Mariyam Khan, Shohei Shimizu, Thong PhamGraph Structure LearningCausal Discovery

    University of Bergen · *Work conducted while a student trainee at RIKEN AIP · 2The University of Osaka +2

  16. Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach

    Jun 5, 2026Lei HuangCausal Discovery

    MIT Sloan School of Management

  17. polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs

    Jun 5, 2026Wenhao Zhang, Ramin Ramezani, Tao Han +2Causal DiscoveryCausal Structure Learning

    School of Automation and Intelligent Sensing (Zhang, Han) and School of Computer Science (Guo), Shanghai Jiao Tong University, Shanghai, China · Department of Computer Science, University of California, Los Angeles, CA, USA · The Chinese University of Hong Kong, Shenzhen, China

  18. Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs

    Jun 4, 2026Hazhir Aliahmadi, Irina Babayan, Greg van AndersStructural Causal ModelsBayesian Networks

    Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston ON, Canada

  19. 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

  20. LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems

    Jun 3, 2026Xiaofeng Xiao, Jianhong Chen, Qiuzhuang Sun +2Bayesian NetworksCausal Discovery

    Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA · College of Integrative Studies, Singapore Management University, Singapore · Department of Industrial Engineering and Management Sciences, Department of Mechanical Engineering, Northwestern University, IL, USA

  21. 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

  22. CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery

    Jun 2, 2026Bo Peng, Kaiwen Wu, Sirui Chen +3Causal Discovery

    Shanghai AI Laboratory · Shanghai Innovation Institute · Shanghai Jiao Tong University +2

  23. Learning Temporal Causal Structure via Smooth Differentiable Optimization

    Jun 2, 2026Tong Zhao, Ce Guo, Wayne Luk +2Time-Series Causal DiscoveryCausal Discovery

  24. Consistency evaluation of benchmarks used for causal discovery

    Jun 1, 2026Yuzhe Zhang, Chihui Chen, Lina Yao +1Causal DiscoveryBenchmark Validity

    Independent researcher · Australia · UNSW +1

  25. On the Recoverability of Causal Relations from Bulk Gene Expression Data

    May 30, 2026Gongxu Luo, Boyang Sun, Kun ZhangStructural Causal ModelsCausal Discovery

    Mohamed bin Zayed University of Artificial Intelligence · Carnegie Mellon University

  26. TabCausal: Pretraining Across Causal Environments for Tabular Causal Discovery

    May 29, 2026Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1Causal Foundation ModelsSynthetic Data Pretraining

    Nanjing University

  27. Test Time Training for Supervised Causal Learning

    May 28, 2026Zizhen Deng, Jiaru Zhang, Rui Ding +5OOD GeneralizationCausal Discovery

    Peking University · The work was done during his internship at Microsoft. · Shanghai Jiao Tong University +2

  28. The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

    May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Structural Causal ModelsCausal Discovery

    Arizona State University Tempe, United States

  29. Why LLMs Fail at Causal Discovery and How Interventional Agents Escape

    May 26, 2026Amartya Roy, Sonali ParbhooCausal DiscoveryCausal Reasoning in Language Models

    SIRE, IIT Delhi and Robert Bosch GmbH, India · Imperial College London

  30. ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis

    May 26, 2026Phi Nguyen Xuan, Nicholas Tagliapietra, Lavdim Halilaj +2AI-Assisted Decision MakingCausal Discovery

    Bosch Global Software Technologies Company Limited, Vietnam · Robert Bosch GmbH, Germany · Computer Science Department, TU Darmstadt, Germany +2