Constraint-based Causal Structure Learning with Consistent Separating Sets
Published in
Neural Information Processing Systems(2018)External Links:
TL
TL;DR
A simple modi-cation of PC and PC-derived algorithms is proposed so as to ensure that all separating sets identified to remove dispensable edges are consistent with the final graph, enhancing the explainability of constraint-based methods.