Bayesian Optimization for Probabilistic Programs.
Tom RainforthTuan Anh LeJan-Willem van de MeentMichael A. OsborneFrank D. WoodPublished in: CoRR (2017)
Keyphrases
- posterior probability
- bayesian networks
- data driven
- generative model
- optimization algorithm
- probabilistic model
- optimization process
- bayesian estimation
- bayesian learning
- constrained optimization
- uncertain data
- global optimization
- monte carlo sampling
- posterior distribution
- optimization problems
- database
- optimization method
- maximum likelihood
- optimization model
- decision trees
- machine learning
- prior probabilities
- efficient optimization
- bayesian analysis
- real time