Bayesian Optimization for Probabilistic Programs.
Tom RainforthTuan Anh LeJan-Willem van de MeentMichael A. OsborneFrank D. WoodPublished in: NIPS (2016)
Keyphrases
- bayesian networks
- posterior probability
- data driven
- optimization problems
- optimization algorithm
- generative model
- global optimization
- efficient optimization
- prior probabilities
- optimization method
- optimization methods
- monte carlo sampling
- bayesian estimation
- bayesian inference
- probabilistic model
- conditional probabilities
- information theoretic
- optimization process
- constrained optimization
- decision theory
- bayesian learning
- particle swarm optimization
- discrete optimization
- evolutionary algorithm
- database systems