High Dimensional Bayesian Optimisation and Bandits via Additive Models.

Kirthevasan Kandasamy Jeff G. Schneider Barnabás Póczos

Published in: CoRR (2015)

Keyphrases

additive models
high dimensional
linear classifiers
linear models
bayesian networks
linear svm
maximum likelihood
nearest neighbor
low dimensional
reproducing kernel hilbert space
metric space
logistic regression
variable selection
bayesian inference
loss function
semi supervised
training set