Mixed Variable Bayesian Optimization with Frequency Modulated Kernels.
ChangYong OhEfstratios GavvesMax WellingPublished in: CoRR (2021)
Keyphrases
- optimization algorithm
- efficient optimization
- maximum likelihood
- genetic algorithm
- gaussian processes
- global optimization
- bayesian inference
- bayesian decision
- neural network
- bayesian learning
- optimization process
- posterior probability
- kernel function
- feature space
- bayesian networks
- low frequency
- convex optimization
- constrained optimization
- model selection
- kernel machines