Poster
in
Workshop: Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

HyperBO+: Pre-training a universal hierarchical Gaussian process prior for Bayesian optimization

Zhou Fan ⋅ Xinran Han ⋅ Zi Wang

[ Poster]

Abstract

We present HyperBO+: a framework of pre-training a hierarchical Gaussian process that enables the same prior to work universally for Bayesian optimization on functions with different domains. We propose a two-step pre-training method and demonstrate its empirical success on challenging black-box function optimization problems with varied input dimensions and search spaces.

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