2 papers
cs.LG2026
Federated Causal Discovery Across Heterogeneous Datasets under Latent Confounding
Maximilian Hahn, Alina Zajak, Dominik Heider +1
Causal discovery across multiple datasets is often constrained by data privacy regulations and cross-site heterogeneity, limiting the use of conventional methods that require a sin…
cs.LG2025
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data
Adèle H. Ribeiro, Dominik Heider
Causal discovery is central to inferring causal relationships from observational data. In the presence of latent confounding, algorithms such as Fast Causal Inference (FCI) learn a…