Learning DAGs

tags: [ src:paper , causal_inference , _causal_inference ]

src: blog version of paper.

Learning a DAG is essentially a #causal_inference problem, with the key being that the graph has to be acyclic. But this type of problem is generally NP-hard. These people came up with a continuous version of the constraint, taking advantage of matrix exponentials.