Cluster-Dags as Powerful Background Knowledge For Causal Discovery
cs.LG, cs.AI, stat.ML
Submitted: 2025-12-10
Updated: 2026-08-26
Terminology
Sources
- Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
- Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
- Optimizing Data-driven Causal Discovery Using Knowledge-guided Search
- Domain Knowledge in A*-Based Causal Discovery
- Foundation Models for Causal Inference via Prior-Data Fitted Networks
- Causal discovery on vector-valued variables and consistency-guided aggregation
- Clustering and Pruning in Causal Data Fusion
- Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering
- Identifiability by common backdoor in summary causal graphs of time series
- Identifiability in Causal Abstractions: A Hierarchy of Criteria
- Causal DAG Summarization (Full Version)
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