Tag: causal discovery

A causal machine learning framework applied to seven community-based childhood obesity prevention programs involving over 7,000 children reveals that intervention ...

Researchers have developed CausalCACTUS, a framework that generates counterfactual explanations for black-box machine learning models which simultaneously respect learned causal ...

A new open-source protocol called BriDGE combines directed acyclic graphs, causal discovery algorithms, and generalized additive models to help behavioral ...