Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge

Shahine Bouabid, Jake Fawkes, Dino Sejdinovic

A directed acyclic graph (DAG) provides valuable prior knowledge that is often discarded in regression tasks in machine learning. We show that the independences arising from the pr…