NeurIPS_2020__Causal_Discovery_from_Soft_Interventions_with_Unknown_Targets__Characterization_and_Learning-2.pdf

In this paper, we investigate the task of structural learning in non-Markovian systems (i.e., when latent variables a ect more than one observable) from a combination of observational and soft experimental data when the interventional targets are unknown.