Feb. 15, 2024, 5:43 a.m. | Zhou Fan, Xinran Han, Zi Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2309.16597v2 Announce Type: replace
Abstract: Bayesian optimization (BO) is a popular black-box function optimization method, which makes sequential decisions based on a Bayesian model, typically a Gaussian process (GP), of the function. To ensure the quality of the model, transfer learning approaches have been developed to automatically design GP priors by learning from observations on "training" functions. These training functions are typically required to have the same domain as the "test" function (black-box function to be optimized). In this paper, …

abstract arxiv bayesian box cs.ai cs.lg decisions design function optimization popular process quality search spaces stat.ml transfer transfer learning type

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