2.3k citations · 2.4k across the 17 of their papers we have counts for
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cs.LG2020★ 3 cited
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih, Stefano Ermon
Inference in discrete graphical models with variational methods is difficult because of the inability to re-parameterize gradients of the Evidence Lower Bound (ELBO). Many sampling…
cs.AI2020★ 19 cited
On Symbolically Encoding the Behavior of Random Forests
Arthur Choi, Andy Shih, Anchal Goyanka +1
Recent work has shown that the input-output behavior of some machine learning systems can be captured symbolically using Boolean expressions or tractable Boolean circuits, which fa…
cs.LG2020★ 7 cited
On Tractable Representations of Binary Neural Networks
Weijia Shi, Andy Shih, Adnan Darwiche +1
We consider the compilation of a binary neural network's decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) and Sentential Decision D…