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A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs
Andreas Stuhlmüller, Noah D. Goodman
We describe a dynamic programming algorithm for computing the marginal distribution of discrete probabilistic programs. This algorithm takes a functional interpreter for an arbitra…
Church: a language for generative models
Noah Goodman, Vikash Mansinghka, Daniel M. Roy +2
We introduce Church, a universal language for describing stochastic generative processes. Church is based on the Lisp model of lambda calculus, containing a pure Lisp as its determ…
The Infinite Latent Events Model
David Wingate, Noah Goodman, Daniel Roy +1
We present the Infinite Latent Events Model, a nonparametric hierarchical Bayesian distribution over infinite dimensional Dynamic Bayesian Networks with binary state representation…