NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:8128
Title:Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions

This paper proposes a new equivalence theory for MAGs learned from a combination of observational and (soft) interventional data, and propose a modification of the FCI algorithm that learns the resulting classes. The reviewers found the paper well-structured and a good contribution to the causal discovery literature.