A Warped Kernel Improving Robustness in Bayesian Optimization Via Random Embeddings.
Mickaël BinoisDavid GinsbourgerOlivier RoustantPublished in: LION (2015)
Keyphrases
- optimization algorithm
- support vector
- efficient optimization
- vector space
- kernel machines
- gaussian processes
- feature space
- distance measure
- posterior probability
- euclidean space
- constrained optimization
- representer theorem
- bayesian networks
- optimization process
- optimization method
- high dimensional data
- optimization problems