A Survey of Learning Causality with Data: Problems and Methods

Cited by (366)

Items 301–366 of 366

1. Towards Causal Understanding of Fake News Dissemination.
   Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu · 2020 · arXiv (Cornell University)
2. Automated Meta-Analysis: A Causal Learning Perspective
   Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini · 2021 · arXiv (Cornell University)
3. Commentary: Using potential outcomes causal methods to assess whether reductions in PM2.5 result in decreased mortality
   Julie E. Goodman, Wenchao Li, Louis Anthony Cox · 2021 · Global Epidemiology
4. Misplaced trust in AI : the explanation paradox and the human-centric path. A characterisation of the cognitive challenges to appropriately trust algorithmic decisions and applications in the financial sector
   Astrid Bertrand · 2024
5. The many faces of deep learning
   Raúl Vicente · 2019 · arXiv (Cornell University)
6. Causal Impact of Web Browsing and Other Factors on Research Publications
   Bharathi Manjula K, Sourish Das, R. Jehadeesan · 2020 · arXiv (Cornell University)
7. Causality in Static Models as an Initial Constraint on the Chronology of Events in System Behavior
   Sabah Al‐Fedaghi · 2020 · arXiv (Cornell University)
8. Learning Temporal Causal Sequence Relationships
   Antonio Anastasio Bruto da Costa, Pallab Dasgupta · 2019 · arXiv (Cornell University)
9. Variational Auto-Encoder Architectures that Excel at Causal Inference
   Negar Hassanpour, Russell Greiner · 2021 · arXiv (Cornell University)
10. Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
    Yiyi Huang, Matth ̈aus Kleindessner, Alexey A. Munishkin, Debvrat Varshney, Pei Guo, Jianwu Wang · 2020 · Maryland Shared Open Access Repository (USMAI Consortium)
11. Bayesian Networks and Causal Inference for the Interpretation of Patients' Symptom Experience
    Nikolaos Papachristou, Payam Mamaani Barnaghi, Sarah J. Allison, Kord M. Kober, Christine A. Miaskowski · 2021 · Research Square
12. A Brief Introduction to Causal Inference
    Son Phuc Nguyen · 2021
13. The Determinants of Entrepreneurial Intentions and Activity: Opportunities and Challenges from the Application of Machine Learning
    Byron Graham, Karen Bonner · 2021 · Research Portal (Queen's University Belfast)
14. A complexa rede causal da Covid-19 em idosos internados em unidade de terapia intensiva / The complex causal network of Covid-19 in elderly hospitalized in an intensive care unit
    Taís Ivastcheschen, Ana Cláudia Garabeli Cavalli Kluthcovsky, Camila Marinelli Martins, Pollyanna Kássia de Oliveira Borges · 2021 · Brazilian Journal of Health Review
15. Multivariate Time Series Data Causal Discovery
    Bo Chang · 2021 · UWSpace (University of Waterloo)
16. Large-Scale Causality Discovery Analytics as a Service
    Xin Wang, Pei Guo, Jianwu Wang · 2021 · IEEE International Conference on Big Data (BigData)
17. Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis
    Patrick Owusu, Armelle Brun, Shengrui Wang · 2021 · IEEE ... International Conference on Data Mining workshops
18. cate-benchmark
    Damian Machlanski, Spyridon Samothrakis, Clarke, Paul · 2024 · Zenodo (CERN European Organization for Nuclear Research)
19. Ingredients for Responsible Machine Learning: A Commented Review of The Hitchhiker’s Guide to Responsible Machine Learning
    Fernando Marmolejo‐Ramos, Raydonal Ospina, Enrique Garcia-Ceja, Juan Carlos Correa · 2022 · Journal of Statistical Theory and Applications
20. When Dynamic Causality Comes to Graph-Temporal Neural Network
    Haowei Wang, Yicheng Pan, Meng Ma, Ping Wang · 2022 · International Joint Conference on Neural Networks (IJCNN)
21. A Deep Learning Approach to Causal Inference in Human Genomics using Counterfactual Reasoning
    Tshepo Kitso Gobonamang, Dimane Mpoeleng · 2023
22. Data Analytics
    Tshepo Kitso Gobonamang, Dimane Mpoeleng · 2023
23. Study on whether marriage affects depression based on causal inference
    Haoran Zhou, Junliang Lu, Ziyu Li, Xinyi Zhang · 2023 · Applied and Computational Engineering
24. A Review of Causal Identifiability Techniques across Different Observational Datasets
    Gabriel Terna Ayem, Salu George Thandekkattu, Augustine Shey Nsang · 2023 · International Journal of Current Science Research and Review
25. A Density Evolution Framework for Recovery of Covariance and Causal Graphs from Compressed Measurements
    Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri · 2023 · Allerton Conference on Communication, Control, and Computing
26. Money market insights in China: Evidence from visual analytics approach
    Qisheng Guo, Xiaoming Li, Qiyuan Li, Shenghui Cheng · 2024 · Forum for Economic and Financial Studies
27. Analysis and estimation of gas emissions for motor vehicles based on machine learning
    Muhammad Ardiansyah Sembiring, Raja Tama Andri Agus, Mustika Fitri Larasati Sibuea, Ulfah Syuhada Nasution, Rika Nofitri, Feby Wulandari Sembiring · 2024 · AIP conference proceedings
28. Bibliography
    2023 · Elsevier eBooks
29. Data mining trends and research frontiers
    Jiawei Han, Jian Pei, Hanghang Tong · 2023 · Elsevier eBooks
30. Kri2aw: A Process Industry Causal Discovery Method with Domain Knowledge Utilization and Residual Reconstruction Via Independent Adversarial and Adaptive Weighting
    Yiquan An, Zhimin Lv, Xi Sun, Zhiyan Zhang, Pengju Xu, Tingting Zhou · 2024 · SSRN Electronic Journal
31. Causal contextual bandits with one-shot data integration
    Chandrasekar Subramanian, Balaraman Ravindran · 2024 · Frontiers in Artificial Intelligence
32. Testing and interpreting the effectiveness of causal machine learning---an economic theory approach
    Kevin Bauer, Andreas Grunewald, Florian Hett, Johanna Jagow, Maximilian Speicher · 2024 · SSRN Electronic Journal
33. Causal Discovery Methods in Psychological Research: A Tutorial in R
    Guangyu Zhu, Li Qian Tay, Mengyan Zhang · 2024
34. A data classification framework based on causal feature selection
    Lijun Sun, Huaqiang Yuan · 2024 · International Conference on Electronics and Devices, Computational Science (ICEDCS)
35. Causal Structure Learning Based on Mutual Information Initialization
    Xinge Huang, Guanjun Wang, Qiliang Zhang, Hongbo Chen · 2025 · Lecture notes in electrical engineering
36. CFC-ATE: Causal Feature Construction via Average Treatment Effect
    Asmae Lamsaf, Hugo Pedro Martins Carriço Proença, João C. Neves · 2024 · International Conference on Machine Learning and Applications
37. Causal Discovery for Rechargeable Battery Modeling Considering Group-Level DAG Constraints
    Yue Wang, Sihui Chen, Jiang Xu, Jiayu Wan, Yang Liu, Xin Li · 2024 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
38. Integrating Deep Learning and Counterfactual Methods for Causal Inference in Genomics
    Tshepo Kitso Gobonamang, Dimane Mpoeleng · 2024 · International Conference on Electrical and Computer Engineering Researches (ICECER)
39. Handling Causal Tasks by Large Language Models: From Discovery to Reasoning
    Yue Xu, Haoxuan Chen, Yuan Wang, Haijia Wu, Shu Wang, Li Liu · 2025 · SSRN Electronic Journal
40. Causal Heterogeneity of Freight Co₂ Emissions: Toward Advancing Prediction and Targeted Mitigation
    Zhihao Tang, Haitao Zhang, Xuan Zhou, Kin Huat Low, Yuan Qing Wang · 2025 · SSRN Electronic Journal
41. Supervised Ensemble-based Causal DAG Selection
    Corrado Mio, Jianyi Lin, Ernesto Damiani, Gabriele Gianini · 2025 · ACM Symposium on Applied Computing
42. Reconciling Predictive Multiplicity in Practice
    Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana, Alexander Williams Tolbert · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
43. Causal-Oriented Machine Learning for Industrial Load Forecasting in Integrated Energy Systems
    Mingyue He, Zhengxiang Song, Jun Yang, Shaohua Zhang · 2025 · International Conference on New Energy System and Power Engineering (NESP)
44. Complex Question Decomposition Based on Causal Reinforcement Learning
    Dezhi Li, Yunjun Lu, Jianping Wu, Wenlu Zhou, Guang Zeng · 2025 · Symmetry
45. CausalBench: Causal Learning Research Streamlined
    Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertuğrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
46. Hamiltonian cycle clustering with asymmetric correlation
    Tianyi Huang, Zhengjun Zhang, Shenghui Cheng · 2025 · Visual Informatics
47. Counterfactual linguistic rule-based explanations based on locally relevant causal mechanisms
    Te Zhang, Christian Wagner · 2025 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
48. Trustworthy AI with Causality: A survey on Data-centric methods
    Mohit Jiwatode, Alexander Dockhorn, Bodo Rosenhahn · 2025
49. Preferences Toward Shared Automated Electric Vehicles: Evidence from Mixed Logit and Bayesian Inference Analysis
    Pooja Rao, Mohammed Quddus, Washington Y. Ochieng · 2025 · Advances in Science, Technology & Innovation/Advances in science, technology & innovation
50. Open Multi-Scale Self-Explanations for Complex Cyber-Physical Systems
    Samuel Reyd, Ada Diaconescu, Jean-Louis Dessalles · 2025 · IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
51. ReVise: A Human-AI Interface for Incremental Algorithmic Recourse
    Kaustav Bhattacharjee, Jun Yuan, Aritra Dasgupta · 2025 · Visualization
52. Causal ML in Education: Enhancing Teacher pedagogical Strategies and Decision-Making
    Mrs. Kajal Ankitkumar Mantri, Dr. Sheshang Degadwala, Mrs. Malini Joshi · 2026 · International Journal of Scientific Research in Science and Technology
53. A novel causal meta-learning method based on causality for the prediction of CBM well productivity
    Chao Min, Jialiang Ge, Guoquan Wen, Xiaogang Li, Zhaozhong Yang · 2026 · Research Square
54. Proceedings of the 7th International Scientific and Practical Conference «Progressive Science and Achievements»
    2026
55. Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning
    Masahiro Tanaka · 2025 · International Conference on Data Science and Intelligent Systems (DSIS)
56. DODO: Causal Structure Learning with Budgeted Interventions
    Matteo Gregorini, Chiara Boldrini, Lorenzo Valerio · 2025 · IEEE International Conference on Big Data (BigData)
57. Condition-Dependent Causal Discovery: A Polynomial Chaos Framework for Systems With Parametric Uncertainty
    Liang Cao, Weide Liu, Yang Liu, Yan Qin · 2026 · IEEE Transactions on Automation Science and Engineering
58. Simply Applying Artificial Intelligence?
    Stefan Strohmeier · 2025 · Emerald Group Publishing Limited eBooks
59. Generalizing a causal effect from a trial to a target population : methodological and theoretical contributions
    Bénédicte Colnet · 2023
60. Statistical learning and causal inference for energy production
    Naoufal Acharki · 2022 · theses.fr (ABES)
61. LLMs for Causal Reasoning in Medicine? A Call for Caution
    Saurabh Mathur, Ranveer Singh, Michael Skinner, Predrag Radivojac A, David M. Haas, Lakshmi Raman, Sriraam Natarajan · 2025 · Joint International Conference on Data Science & Management of Data (CODS-COMAD)
62. A framework for transmission line ice thickness prediction integrating physics-informed feature engineering, attention networks, and causal inference
    吴载璋, Xuewei Chu, Shuanghe Cao, Hao Chen, Aiping Zhang, Bo Yu, Jingyue Zeng · 2026 · Electric Power Systems Research
63. Algorithmic Recourse on Networks: From Explanations to Interventions
    Christos Konstantopoulos, Kostas Tsichlas · 2026 · ACM Transactions on Knowledge Discovery from Data
64. Uncovering latent causal components: An enhanced approach to Granger-based time-series causal discovery
    Asra Aghaei, Fulin Cai, Teresa Wu · 2026 · Knowledge-Based Systems
65. Causal-Inference-Driven Communication-Enhanced Computation Offloading for IRS-Assisted IoV
    Yuanlin Lin, Kai Peng, Kunkun Yue, Bohai Zhao, Xiaolong Xu, Victor C. M. Leung · 2026 · IEEE Transactions on Cloud Computing
66. Exploring the Logic of Counterfactuals for Explaining Algorithmic Decisions
    Cordelia Berz · 2026 · Topoi