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Explaining Deep Tractable Probabilistic Models: The sum-product network case. (arXiv:2110.09778v2 [cs.LG] UPDATED)
Sept. 23, 2022, 1:12 a.m. | Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan
cs.LG updates on arXiv.org arxiv.org
We consider the problem of explaining a class of tractable deep probabilistic
models, the Sum-Product Networks (SPNs) and present an algorithm ExSPN to
generate explanations. To this effect, we define the notion of a
context-specific independence tree(CSI-tree) and present an iterative algorithm
that converts an SPN to a CSI-tree. The resulting CSI-tree is both
interpretable and explainable to the domain expert. We achieve this by
extracting the conditional independencies encoded by the SPN and approximating
the local context specified by …
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