mlsanityData to 7 Oct 2026

A Survey of Learning Causality with Data: Problems and Methods

arXiv 1809.09337 ↗First posted 25 Sep 2018cs.AI stat.MEcited by 37

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Abstract (arXiv)

This work considers the question of how convenient access to copious data impacts our ability to learn causal effects and relations. In what ways is learning causality in the era of big data different from -- or the same as -- the traditional one? To answer this question, this survey provides a comprehensive and structured review of both traditional and frontier methods in learning causality and relations along with the connections between causality and machine learning. This work points out on a case-by-case basis how big data facilitates, complicates, or motivates each approach.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Sep 2018.

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Citing papers per year: 2021: 10; 2022: 11; 2023: 4; 2024: 7; 2025: 5.

37 papers.

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  1. 2021A Clarification of the Nuances in the Fairness Metrics Landscapecited by 98
  2. 2021The Causal-Neural Connection: Expressiveness, Learnability, and Inferencecited by 97
  3. 2022Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognitioncited by 55
  4. 2022Neural Causal Models for Counterfactual Identification and Estimationcited by 54
  5. 2021Physics-Guided Deep Learning for Dynamical Systems: A Surveycited by 43
  6. 2022Evaluation Methods and Measures for Causal Learning Algorithmscited by 23
  7. 2023Counterfactual Learning on Graphs: A Surveycited by 22
  8. 2021A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directionscited by 19
  9. 2023A Review of the Role of Causality in Developing Trustworthy AI Systemscited by 14
  10. 2021Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approachcited by 12
  11. 2022When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraintscited by 11
  12. 2022Deep Causal Learning: Representation, Discovery and Inferencecited by 11
25 more
  1. 2021Causal Mediation Analysis with Hidden Confounderscited by 10
  2. 2021Multi-objective Explanations of GNN Predictionscited by 10
  3. 2021Inductive Granger Causal Modeling for Multivariate Time Seriescited by 8
  4. 2022Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligencecited by 5
  5. 2021Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxiescited by 4
  6. 2021Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implicationcited by 3
  7. 2022Generalized Causal Tree for Uplift Modelingcited by 3
  8. 2024Causal Reasoning in Software Quality Assurance: A Systematic Reviewcited by 3
  9. 2022A Causal Research Pipeline and Tutorial for Psychologists and Social Scientistscited by 2
  10. 2022VAC2: Visual Analysis of Combined Causality in Event Sequencescited by 2
  11. 2023Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industrycited by 2
  12. 2024CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effectcited by 2
  13. 2024PORCA: Root Cause Analysis with Partially Observed Datacited by 2
  14. 2022Causal Discovery from Sparse Time-Series Data Using Echo State Networkcited by 1
  15. 2024Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variablescited by 1
  16. 2025Finding Counterfactual Evidences for Node Classificationcited by 1
  17. 2025DODO: Causal Structure Learning with Budgeted Interventionscited by 1
  18. 2022Machine Learning Prescriptive Canvas for Optimizing Business Outcomescited by 0
  19. 2023Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inferencecited by 0
  20. 2024PresAIse, A Prescriptive AI Solution for Enterprisescited by 0
  21. 2024Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavementscited by 0
  22. 2024Evaluating Large Language Models for Causal Modelingcited by 0
  23. 2025Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clusteringcited by 0
  24. 2025Reconciling Predictive Multiplicity in Practicecited by 0
  25. 2025Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learningcited by 0