Joint Causal Structure and Cluster Discovery Using Variational Inference
A novel approach based on variational inference to simultaneously infer both the latent clusters and causal structures is presented and an approximate posterior over clusters and graph-structure is learned by considering variational distributions based on categorical and Bernoulli models.