Kui Yu

Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets

2024 · IEEE Transactions on Knowledge and Data Engineering

Inferring causal structures from experimentation is a challenging task in many fields. Most causal structure learning algorithms with unknown interventions are proposed to discover causal relationships over an identical variable set. However, often due to …