Pre-training of Bayesian Optimization Algorithm through Bayesian Optimization
A framework for optimizing parameters using sample paths drawn from a Gaussian process inferred from the information available at the start of BO, which can effectively select parameter configurations that achieve strong performance among a range of candidate configurations.
Satoshi Katayama, Shoyo Hunt, Shintaro Masuda et al.
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