72 citations · 86 across the 2 of their papers we have counts for
2 papers
stat.ML2013★ 72 cited
Automated Variational Inference in Probabilistic Programming
David Wingate, Theophane Weber
We present a new algorithm for approximate inference in probabilistic programs, based on a stochastic gradient for variational programs. This method is efficient without restrictio…
cs.SE2012★ 14 cited
Accelerating Inference: towards a full Language, Compiler and Hardware stack
Shawn Hershey, Jeff Bernstein, Bill Bradley +4
We introduce Dimple, a fully open-source API for probabilistic modeling. Dimple allows the user to specify probabilistic models in the form of graphical models, Bayesian networks,…