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A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization.
Mickaël Binois
Nathan Wycoff
Published in:
ACM Trans. Evol. Learn. Optim. (2022)
Keyphrases
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gaussian process
gaussian processes
high dimensional
gaussian process regression
bayesian framework
gaussian process models
hyperparameters
model selection
expectation propagation
maximum likelihood
semi supervised
regression model
marginal likelihood
low dimensional
gaussian process classification
incremental learning
dynamical model
latent space
decision trees
latent variables
parameter space
training data