mlsanityData to 14 Oct 2026

Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework

arXiv 2312.11582 ↗First posted 18 Dec 2023cs.LG cs.AI stat.MEcited by 0

Not on the map. Why?

Abstract (arXiv)

Causal Structure Learning (CSL), also referred to as causal discovery, amounts to extracting causal relations among variables in data. CSL enables the estimation of causal effects from observational data alone, avoiding the need to perform real life experiments. Constraint-based CSL leverages conditional independence tests to perform causal discovery. We propose Shapley-PC, a novel method to improve constraint-based CSL algorithms by using Shapley values over the possible conditioning sets, to decide which variables are responsible for the observed conditional (in)dependences. We prove soundness, completeness and asymptotic consistency of Shapley-PC and run a simulation study showing that our proposed algorithm is superior to existing versions of PC.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 47 references that are in the map. First posted on arXiv 18 Dec 2023.

Builds on

14 of 47 references.

References · 14

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  2. 2021D'ya like DAGs? A Survey on Structure Learning and Causal Discoverycited by 211
  3. 2013Causal Inference and Causal Explanation with Background Knowledgecited by 170
  4. 2019Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilitycited by 114
  5. 2023Causal-learn: Causal Discovery in Pythoncited by 109
  6. 2020Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Modelscited by 107
  7. 2013Learning Equivalence Classes of Bayesian Networks Structurescited by 77
  8. 2019Causal structure based root cause analysis of outlierscited by 65
  9. 2023A Survey on Causal Discovery: Theory and Practicecited by 63
  10. 2021The impact of prior knowledge on causal structure learningcited by 35
  11. 2020Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cyclescited by 31
  12. 2016Improving Accuracy and Scalability of the PC Algorithm by Maximizing P-valuecited by 11
2 more
  1. 2021ML4C: Seeing Causality Through Latent Vicinitycited by 11
  2. 2022SHAP-XRT: The Shapley Value Meets Conditional Independence Testingcited by 6

Built on by

Not cited yet.