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...
Κύριοι συγγραφείς: | Rainforth, T, Le, T, van de Meent, J, Osborne, M, Wood, F |
---|---|
Μορφή: | Conference item |
Έκδοση: |
Neural Information Processing Systems Foundation
2016
|
Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
-
Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support
ανά: Reichelt, T, κ.ά.
Έκδοση: (2024) -
Nesting probabilistic programs
ανά: Rainforth, T
Έκδοση: (2018) -
Black-box policy search with probabilistic programs
ανά: Van De Meent, J, κ.ά.
Έκδοση: (2016) -
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
ανά: van de Meent, J, κ.ά.
Έκδοση: (2015) -
Particle Gibbs with ancestor sampling for probabilistic programs
ανά: Meent, J, κ.ά.
Έκδοση: (2015)