BOCK : Bayesian Optimization with Cylindrical Kernels.
ChangYong OhEfstratios GavvesMax WellingPublished in: CoRR (2018)
Keyphrases
- optimization problems
- optimization algorithm
- gaussian processes
- efficient optimization
- monte carlo sampling
- feature space
- optimization process
- positive definite
- optimization model
- optimization strategies
- global optimization
- optimization method
- data driven
- support vector
- discrete optimization
- optimal kernel
- representer theorem
- optimization methods
- kernel machines
- bayesian inference
- database
- linear programming
- feature vectors
- bayesian networks
- machine learning