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Adèle H. Ribeiro

2 accepted papers

2025

Causal Discovery over Clusters of Variables in Markovian Systems

NeurIPS 2025poster

Causal discovery methods are powerful tools for uncovering the structure of relationships among variables, yet they face significant challenges in scalability and interpretability, especially in high-dimensional settings. In many domains, researchers are not only interested in causal links between i…

Cited by 0SourceScholar
2025

Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering

NeurIPS 2025poster

Cluster DAGs (C-DAGs) provide an abstraction of causal graphs in which nodes represent clusters of variables, and edges encode both cluster-level causal relationships and dependencies arisen from unobserved confounding. C-DAGs define an equivalence class of acyclic causal graphs that agree on cluste…

Cited by 0SourceScholar