A Survey of Learning Causality with Data: Problems and Methods

Guo, Ruocheng, Cheng, Lu, Li, Jundong, Hahn, P. Richard, Liu, Huan·2021·ACM Computing Surveys

Cited by (366)

Items 201–300 of 366

  1. Targeted VAE: Variational and Targeted Learning for Causal Inference
    Matthew James Vowels, Necati Cihan Camgöz, Richard Bowden · 2021 · IEEE International Conference on Smart Data Services (SMDS)
  2. Accurate Attribution and Seasonal Prediction of Climatic Anomalies Using Causal Inference Theory
    Shan He, Song Yang, Dake Chen · 2022 · Journal of Climate
  3. Generalized Causal Tree for Uplift Modeling
    Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee · 2023 · IEEE International Conference on Big Data (BigData)
  4. A general framework for causal classification
    Jiuyong Li, Weijia Zhang, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu · 2021 · International Journal of Data Science and Analytics
  5. Causal Campbell-Goodhart’s Law and Reinforcement Learning
    Hal Ashton · 2021 · International Conference on Agents and Artificial Intelligence (ICAART)
  6. A Systematic Literature Review in Causal Association Rules Mining
    Shkurte Luma-Osmani, Florije Ismaili, Xhemal Zenuni, Bujar Raufi · 2020 · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
  7. Learning Temporal Causal Sequence Relationships from Real-Time Time-Series
    Antonio Anastasio Bruto da Costa, Pallab Dasgupta · 2021 · Journal of Artificial Intelligence Research
  8. EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series
    Yicheng Pan, Yifan Zhang, Xinrui Jiang, Meng Ma, Ping Wang · 2024 · ACM Transactions on Knowledge Discovery from Data
  9. PresAIse, a prescriptive AI solution for enterprise
    Wei Sun, Scott McFaddin, Linh Ha Tran, Shivaram Subramanian, Kristjan H. Greenewald, Yeshi Tenzin, Zack Xue, Youssef Drissi, Markus Ettl · 2024 · INFOR Information Systems and Operational Research
  10. How to Enhance the Interpretability of Learning-Based Motion Planning for Intelligent Vehicles—A Survey
    Junxiang Li, Tao Wu, Huijing Zhao, Xin Xu · 2025 · IEEE Transactions on Intelligent Transportation Systems
  11. Causality-Driven Explainable Multimodal Fusion With Visual-Text Parallel Computing for Cloth-Changing Pedestrian Re-Identification
    Xiejing Yin, Hua Han, Kaiyu Xu, Li Qian Huang, A. A. M. Muzahid · 2025 · IEEE Transactions on Intelligent Transportation Systems
  12. Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
    Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng · 2023 · Proceedings
  13. Neural Causal Abstractions
    Kevin Xia, Elias Bareinboim · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  14. VAC2: Visual Analysis of Combined Causality in Event Sequences
    Sujia Zhu, Guodao Sun, Yue Shen, Zihao Zhu, Wang Xia, Baofeng Chang, Jingwei Tang, Ronghua Liang · 2024 · IEEE Transactions on Visualization and Computer Graphics
  15. Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables
    Zexu Sun, Bowei He, Shiqi Shen, Zhipeng Wang, Zhi Gong, Chen Ma, Qi Qi, Xu Chen · 2024 · IEEE Transactions on Knowledge and Data Engineering
  16. Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation
    Dongyang Li, Jianshan Sun, Chongming Gao, Fuli Feng, Kun Yuan · 2025 · ACM Transactions on Information Systems
  17. Causality and Uncertainty of Information for Content Understanding
    Adrienne J. Raglin, Raha Moraffah, Huan Liu · 2020 · IEEE International Conference on Cognitive Machine Intelligence (CogMI)
  18. Das Internet of Production als Fundament der Datenverwertung in der Produktion
    Marco Becker, Matthias Brockmann, Philipp Niemietz, Daniel Trauth, Thomas Bergs, Christian Brecher · 2021 · Springer eBooks
  19. Exploiting non-i.i.d. data towards more robust machine learning algorithms
    Wim Casteels, Peter Hellinckx · 2020 · arXiv (Cornell University)
  20. Causal Discovery Using Weight-Based Conditional Independence Test
    Zhaolong Ling, Bo Li, Yiwen Zhang, Peng Zhou, Xingyu Wu, Yue’e Huang, Kui Yu, Xindong Wu · 2024 · ACM Transactions on Knowledge Discovery from Data
  21. LiNGAM-SF: Causal Structural Learning Method With Linear Non-Gaussian Acyclic Models for Streaming Features
    Chenglin Zhang, Hong Zhi Yu, Guoyin Wang, Yongfang Xie · 2025 · IEEE Transactions on Neural Networks and Learning Systems
  22. Finding Counterfactual Evidences for Node Classification
    Dazhuo Qiu, Jinwen Chen, Arijit Khan, Yan Zhao, Francesco Bonchi · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  23. Learning Disentangled Latent Factors for Individual Treatment Effect Estimation Using Variational Generative Adversarial Nets
    Qingsen Bao, Zeyong Mao, Lei Chen · 2022 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
  24. Temporal causality-based feature selection for fault prediction in rotorcraft flight controls
    D. Shavit, M. Davidovits, A. Kushnirsky, Yehudit Aperstein · 2022 · IFAC-PapersOnLine
  25. A Two-Layer Causal Knowledge Network Construction Method Based on Quality Problem-Solving Data
    Yubin Wang, Shirong Qiang, Xin Yue, Tao Li, Keyong Zhang · 2025 · Systems
  26. Turning a Curse into a Blessing: A General Approach to Resolve Endogeneity Problem in Data-Rich Environment
    Xiliang Lin, Tho Ngoc Le, Carlos Carrión, Zenan Wang · 2021 · IEEE International Conference on Smart Data Services (SMDS)
  27. Generating Causal Hypotheses for Explaining Black-Box Industrial Processes
    Kaja Balzereit, Alexander Diedrich, Daniel Kubus, Jonas Ginster, Andreas Bunte · 2022 · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
  28. Causal Inference for De-biasing Motion Estimation from Robotic Observational Data
    Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  29. Rating Prediction Model Based on Causal Inference Debiasing Method in Recommendation
    Jiangang Nan, Yajun Wang, Chengcheng Wang · 2023 · Chinese Journal of Electronics
  30. Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation
    Nathan C. Hurley, Sanket Shishir Dhruva, Nihar R. Desai, Joseph S. Ross, Che G. Ngufor, Frederick A. Masoudi, Harlan M. Krumholz, Bobak J. Mortazavi · 2023 · ACM Transactions on Computing for Healthcare
  31. Causal Inference Applied to Explaining the Appearance of Shadow Phenomena in an Image
    Jairo Iván Vélez Bedoya, Manuel G. Bedía, Luis Castillo, Jeferson Arango‐López, Fernando Moreira · 2023 · Informatica
  32. Distributed Discovery of Causal Networks in Pervasive Environments
    Stefano Mariani, Franco Zambonelli · 2024 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  33. Multi-Criteria Decision Making (MCDM) with Causal Reasoning for AI/ML Applications – A Survey
    Atul Rawal, Justine C. Rawal, Adrienne J. Raglin · 2024 · Lecture notes in computer science
  34. Semi-causal decision trees
    Ana Rita Nogueira, Carlos Abreu Ferreira, João Manuel Portela da Gama · 2021 · Progress in Artificial Intelligence
  35. The Internet of Production as the Foundation of Data Utilization in Production
    Marco Becker, Matthias Brockmann, Philipp Niemietz, Daniel Trauth, Thomas Bergs, Christian Brecher · 2023 · Springer eBooks
  36. Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract)
    Karim ASSAAD, Émilie Devijver, Éric Gaussier · 2023 · International Joint Conference on Artificial Intelligence
  37. Design and Validation of Structural Causal Model: A focus on SENSE-EGRA Datasets
    Gabriel Terna Ayem, Augustine Shey Nsang, Bernard Igoche Igoche, Garba Naankang · 2023 · International Journal of Advanced Science Computing and Engineering
  38. PORCA: Root Cause Analysis with Partially Observed Data
    Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi · 2026 · IEEE International Conference on Data Engineering (ICDE)
  39. CauseBox
    Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
  40. A causality-inspired feature selection method for cancer imbalanced high-dimensional data
    Yijun Liu, Qiang Huang, Huiyan Sun, Yi Chang · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  41. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
    2022
  42. Causal relationship discovery and causal‐oriented approaches for enhanced performance and interpretability in prediction of prosumer behavior and demand flexibility
    Mingyue He, Mojdeh Abdi-Khorsand · 2025 · IET Generation Transmission & Distribution
  43. Time-Reversal Enhanced Dynamic Causality Distribution Learning and Its Application in Identifying Dynamic ECNs in MCI Patients
    Yiding Wang, Chao Jin, Jian Yang, Chen Qiao · 2025 · IEEE Transactions on Biomedical Engineering
  44. A data-mechanism-causality fusion model for deformation control of thin-walled rotary parts
    Haonan Guo, Yingguang Li, Yi Yang, Changqing Liu, Zhao Zhiwei · 2025 · Machining Science and Technology
  45. Causal discovery methods in psychological research: Foundations, algorithms, and a practical tutorial in R
    Guangyu Zhu, Li Qian Tay, Mengyan Zhang · 2026 · Behavior Research Methods
  46. Relaxation of Some Confusions about Confounders
    Ádám Zlatniczki, Marcell Stippinger, Zsigmond Benkő, Zoltán Somogyvári, András Telcs · 2021 · Entropy
  47. Incorporating Proportional Sparse Penalty for Causal Structure Learning
    Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu · 2021 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
  48. Petri net based diagnostic approach for concurrent discrete event systems
    Stefan Windmann · 2024 · at - Automatisierungstechnik
  49. Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders
    Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Qing Wu · 2024 · IEEE Transactions on Knowledge and Data Engineering
  50. A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods
    Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi A, Riccardo Guidotti · 2025 · IEEE Access
  51. Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts
    Nathan C. Hurley, Alyssa Berkowitz, Frederick A. Masoudi, Joseph S. Ross, Nihar R. Desai, Nilay D. Shah, Sanket Shishir Dhruva, Bobak J. Mortazavi · 2021 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
  52. Causal Analysis of Impact Factors of COVID-19 in China
    Wen-Xun Tang, Haifeng Li, Mo Hai, Yuejin Zhang · 2022 · Procedia Computer Science
  53. Sparse Identification of Conditional relationships in Structural Causal Models (SICrSCM) for counterfactual inference
    Daniel Correia, Daniel Nicolas Wilke, Stephan P. Schmidt · 2022 · Probabilistic Engineering Mechanics
  54. Incorporating Task-Specific Concept Knowledge into Script Learning
    Chenkai Sun, Tie Jun Xu, ChengXiang Zhai, Heng Ji · 2023 · Conference of the European Chapter of the Association for Computational Linguistics
  55. A causal discovery approach to study key mixed traffic‐related factors and age of highway affecting raveling
    Zili Wang, Panchamy Krishnakumari, Kumar Anupam, Hans van Lint, Sandra M. J. G. Erkens · 2024 · Computer-Aided Civil and Infrastructure Engineering
  56. A Selective Review of Individualized Decision Making
    Weibin Mo, Yufeng Liu · 2024 · ICSA book series in statistics
  57. Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data
    Omar Faruque, Xingyan Li, Md Azim Khan, Homayra Alam, Jianwu Wang · 2024 · IEEE International Conference on Big Data (BigData)
  58. Behavior Modeling Space Reconstruction for E-Commerce Search
    Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong et al. · 2025 · International World Wide Web Conference (WWW)
  59. RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
    Andrea Tonon, Meng Zhang, Bora Caglayan, Fei Shen, Tong Gui, Mingxue Wang, Rong Zhou · 2025 · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  60. CausalPrism: A visual analytics approach for subgroup-based causal heterogeneity exploration
    X. Liu, Jiehui Zhou, Xumeng Wang, Wong Kam-Kwai, Wei Zhang, Juntian Zhang, Minfeng Zhu, Wei Chen · 2025 · Computers & Graphics
  61. A causal mixture model decomposition for root cause identification
    M. Amine Atoui, Vincent Cocquempot · 2021 · IFAC-PapersOnLine
  62. Artificial Intelligence for Medical Decisions
    Albert Buchard, Jonathan G. Richens · 2021 · Springer eBooks
  63. Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer
    Alessandro D’Amelio, Sabrina Patania, Sathya Buršić, Vittorio Cuculo, Giuseppe Boccignone · 2023 · Sensors
  64. Design and Validation of Structural Causal Model: A focus on SENSE-EGRA Datasets
    Gabriel Terna Ayem, Augustine Shey Nsang, Bernard Igoche Igoche, Garba Naankang · 2024 · International Journal of Advanced Science Computing and Engineering
  65. Causality Inspired Retrieval of Human-object Interactions from Video
    Liting Zhou, Jianquan Liu, Shoji Nishimura, Joseph Antony, Cathal G. Gurrin · 2019 · International Workshop on Content-Based Multimedia Indexing (CBMI)
  66. Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute
    Taha Racicot, Richard Khoury, Christophe Père · 2021
  67. Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
    Maria Glenski, Svitlana Volkova · 2021
  68. Towards Learning Causal Representations of Technical Word Embeddings for Smart Troubleshooting
    Alexandre Trilla, Nenad Mijatovic, X. Vilasis-Cardona · 2022 · International Journal of Prognostics and Health Management
  69. Joint inference of physiological network and survival analysis identifies factors associated with aging rate
    Anurag Sethi, Eugene Melamud · 2022 · Cell Reports Methods
  70. Neuro-PC: Causal Functional Connectivity from Neural Dynamics
    Rahul Biswas, Eli Shlizerman · 2020 · arXiv (Cornell University)
  71. High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
    Kristjan H. Greenewald, Dmitriy A. Katz-Rogozhnikov, Karthik Shanmugam · 2020 · arXiv (Cornell University)
  72. Balancing Expertise in Equity Crowdfunding: How Investor Composition Affects Startup Performance
    Nohyoon Seong, YoungChan Hwang, Jooyoung Park, Keongtae Kim · 2023 · SSRN Electronic Journal
  73. Structure learning‐based unsupervised root cause diagnosis for radio access networks
    Qi Li, Yong Zhang, Xiaolei Hua, Lin Zhu, Zhe Lei · 2022 · Electronics Letters
  74. Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering
    Lu Liu, Yang Tang, Kexuan Zhang, Qiyu Sun · 2024 · International Joint Conference on Neural Networks (IJCNN)
  75. Time Series Causal Discovery Using a Hybrid Method
    Saima Absar, Lu Zhang · 2024 · IEEE International Conference on Big Data (BigData)
  76. Measuring cognitive load by a score-based causal network model with multichannel physiological signals
    Li Liu, Qiwen Pang, Shanshan Huang, Laiming Jiang, Shu Wang, Guang Wu, Guoxin Su, Qing Tao · 2025 · Neurocomputing
  77. On the Role of Causal Reasoning in Autonomous Agents and Multi-Agent Systems
    Stefano Mariani, Franco Zambonelli · 2025 · Lecture notes in computer science
  78. CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings
    Changwoo Chun, SongEun Lee, Jaehyung Seo, Heuiseok Lim · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  79. Simultaneous treatment effect estimation and variable selection for observational data
    Eun-Yeol Ma, Uichin Lee, Heeyoung Kim · 2024 · IISE Transactions
  80. Causal discovery for image datasets via feature extraction
    Atul Rawal, Adrienne J. Raglin, Qianlong Wang, Ziying Tang · 2024 · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
  81. CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
    Jiehui Zhou, Linxiao Yang, X. Liu, Xinyue Gu, Liang Sun, Wei Chen · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  82. Towards Intelligent Monitoring and Control of Industrial Internet of Things Deployments with Causality-Aware Digital Twins
    Stefano Mariani, Matteo Martinelli, Riccardo Morandi, Antonello Barbone, Marco Picone · 2025 · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
  83. Enhancing social science research on cyberbullying through human machine collaboration
    Andrea Baños Ramos, María Reneses, Jaime Pérez, Gabriel Valverde, Edmond Awad, G. López, Mario Castro · 2025 · Scientific Reports
  84. Causal Reasoning on Temporal Knowledge Graph with Fuzzy Logic and Graph Attention Network
    Shixiang Cai, Zhirui Kuai, Li Kuang, Zhifang Liao · 2025 · IEEE International Conference on Web Services (ICWS)
  85. Linear-inverse-modeling approach to estimating Liang-Kleeman information flow in a cyclostationary process under memoryless and persistent noise
    Justin Lien, Hiroyasu Ando, Yong‐Yub Kim, Tomoki Tozuka · 2025 · Physical review. E
  86. Financing pathways for the ageing industry: mitigating risks in older adult care investment
    Li Na, Li Zesheng, Ping Tong · 2025 · Frontiers in Public Health
  87. TraceCluster: A Lightweight and Adaptive Clustering-Based Subgraph Attention Network for APT Detection in Provenance Graphs
    Lijuan Xu, ZiCheng Zhao, Dawei Zhao, Zhen Wang, Chunpeng Ge · 2026 · IEEE Transactions on Information Forensics and Security
  88. Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking
    Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen · 2023 · ACM International Conference on Web Search and Data Mining (WSDM)
  89. Etyczne wyzwania technonauki - techniki informacyjne
    Roman Z. Morawski · 2022 · Nauka
  90. Fast Shrinking parents-children learning for Markov blanket-based feature selection
    Haoran Liu, Qianrui Shi, Yanbin Cai, Niantai Wang, Liyue Zhang, Da‐Yan Liu · 2024 · International Journal of Machine Learning and Cybernetics
  91. A Non-Euclidean Causal Discovery Algorithm in Metric Spaces
    Fan Kuai, Jing Bing Yang · 2023 · International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI)
  92. Unified causality analysis based on the degrees of freedom
    András Telcs, Marcell T. Kurbucz, Antal Jakovác · 2025 · Physical review. E
  93. Unlocked decision making based on causal connections strength
    M. Amine Atoui, Achraf Cohen, Vincent Cocquempot · 2021 · European Journal of Control
  94. Spatial perspectives in family health research
    Emil Coman, Sandro Steinbach, Guofeng Cao · 2021 · Family Practice
  95. Undersmoothing Causal Estimators With Generative Trees
    Damian Machlanski, Spyridon Samothrakis, Paul Clarke · 2024 · IEEE Access
  96. CausalSE: Understanding Varied Spatial Effects with Missing Data Towards Adding New Bike-sharing Stations
    Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu · 2022 · ACM Transactions on Knowledge Discovery from Data
  97. Causal Inference in Cuffless Blood Pressure Estimation: A Pilot Study
    Lei Liu, Yifan Chen, Xiaorong Ding · 2022
  98. CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
    Zhijing Jin, Amir Feder, Kun Zhang · 2022
  99. AI, Data, and Digitalization
    Rajendra A. Akerkar · 2024 · Communications in computer and information science
  100. Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions
    Xinhong Chen, Zongxi Li, Haoran Xie, Jianping Wang, Qing Li, Kevin Hung · 2023 · International Conference on Wirtschaftsinformatik