High-Dimensional Bayesian Optimization via Tree-Structured Additive Models.

Eric Han Ishank Arora Jonathan Scarlett

Published in: AAAI (2021)

Keyphrases

additive models
high dimensional
linear models
linear classifiers
low dimensional
maximum likelihood
data points
index structure
similarity search
gaussian processes
reproducing kernel hilbert space
linear svm
learning algorithm
multi class
high dimensional data
quadratic programming