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Regret Bounds for Gaussian-Process Optimization in Large Domains.
Manuel Wüthrich
Bernhard Schölkopf
Andreas Krause
Published in:
NeurIPS (2021)
Keyphrases
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gaussian process
regression model
bayesian framework
hyperparameters
approximate inference
semi supervised
model selection
latent variables
regret bounds
closed form
image segmentation
upper bound
worst case
cross validation
image reconstruction
bayesian inference