2019
Constraint-based Causal Structure Learning with Consistent Separating Sets
NeurIPS 2019poster
We consider constraint-based methods for causal structure learning, such as the PC algorithm or any PC-derived algorithms whose first step consists in pruning a complete graph to obtain an undirected graph skeleton, which is subsequently oriented. All constraint-based methods perform this first step o…