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...
मुख्य लेखकों: | Rainforth, T, Le, T, van de Meent, J, Osborne, M, Wood, F |
---|---|
स्वरूप: | Conference item |
प्रकाशित: |
Neural Information Processing Systems Foundation
2016
|
समान संसाधन
-
Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support
द्वारा: Reichelt, T, और अन्य
प्रकाशित: (2024) -
Nesting probabilistic programs
द्वारा: Rainforth, T
प्रकाशित: (2018) -
Black-box policy search with probabilistic programs
द्वारा: Van De Meent, J, और अन्य
प्रकाशित: (2016) -
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
द्वारा: van de Meent, J, और अन्य
प्रकाशित: (2015) -
Particle Gibbs with ancestor sampling for probabilistic programs
द्वारा: Meent, J, और अन्य
प्रकाशित: (2015)