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 |
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格式: | Conference item |
出版: |
Neural Information Processing Systems Foundation
2016
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