Bayesian Optimization for Probabilistic Programs
We outline a general purpose framework for black-box marginal maximum a pos- teriori estimation of probabilistic program variables using Bayesian optimization with Gaussian processes. We introduce the concept of an optimization query, whereby a probabilistic program returns an infinite lazy sequence...
Main Authors: | Rainforth, T, Le, T, van de Meent, J, Osborne, M, Wood, F |
---|---|
Format: | Conference item |
Udgivet: |
Neural Information Processing Systems Foundation
2016
|
Lignende værker
-
Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support
af: Reichelt, T, et al.
Udgivet: (2024) -
Nesting probabilistic programs
af: Rainforth, T
Udgivet: (2018) -
Black-box policy search with probabilistic programs
af: Van De Meent, J, et al.
Udgivet: (2016) -
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
af: van de Meent, J, et al.
Udgivet: (2015) -
Particle Gibbs with ancestor sampling for probabilistic programs
af: Meent, J, et al.
Udgivet: (2015)