arXiv Machine Learning August 27, 2026 By Jan Marco Ruiz de Vargas, Kirtan Padh, Niki Kilbertus

Cluster-Dags as Powerful Background Knowledge For Causal Discovery

Read the original on arXiv Machine Learning →

The paper introduces Cluster-DAGs as a flexible prior knowledge framework to improve causal discovery. It presents two modified constraint‑based algorithms, Cluster‑PC and Cluster‑FCI, tailored for fully and partially observed data. Experiments on simulated data show that these methods outperform baseline algorithms that lack prior knowledge.

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