Causal Direction Insights
Connor and Tim discuss the complexity of determining causal directions in graphs, considering factors like confounders and mediators. They delve into contrasting absolute versus relative approaches in analyzing graph convergence behavior, touching on the possibility of transitive causality and its implications in causality studies.In this clip
From this podcast

Machine Learning Street Talk (MLST)
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Related Questions