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High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups.
Paul Rolland
Jonathan Scarlett
Ilija Bogunovic
Volkan Cevher
Published in:
CoRR (2018)
Keyphrases
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additive models
high dimensional
linear classifiers
linear models
bayesian networks
similarity search
maximum likelihood
high dimensional data
machine learning
similarity measure
metric space
bayesian inference
variable selection
reproducing kernel hilbert space
linear svm