Unbounded Bayesian Optimization via Regularization.
Bobak ShahriariAlexandre Bouchard-CôtéNando de FreitasPublished in: AISTATS (2016)
Keyphrases
- optimization process
- efficient optimization
- risk minimization
- optimization model
- bayesian networks
- optimization method
- bayesian estimation
- optimization algorithm
- kernel machines
- prior information
- regularization method
- optimization methods
- machine learning
- global optimization
- maximum likelihood
- optimization problems
- learning algorithm