72 citations · 92 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.AI2012★ 20 cited
Predictive Linear-Gaussian Models of Stochastic Dynamical Systems
Matthew Rudary, Satinder Singh, David Wingate
Models of dynamical systems based on predictive state representations (PSRs) are defined strictly in terms of observable quantities, in contrast with traditional models (such as Hi…