SVI-DAG couples normalizing flows over edge logits with stein variational gradient descent on node orderings to learn multimodal Bayesian posteriors over DAGs.
Thus the marginal law ofB ν isBernoulli(E[π ν])and converges toBernoulli(p)
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SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery
SVI-DAG couples normalizing flows over edge logits with stein variational gradient descent on node orderings to learn multimodal Bayesian posteriors over DAGs.