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Data-driven Prior Learning for Bayesian Optimisation
April 22, 2024, 4:43 a.m. | Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard
cs.LG updates on arXiv.org arxiv.org
Abstract: Transfer learning for Bayesian optimisation has generally assumed a strong similarity between optimisation tasks, with at least a subset having similar optimal inputs. This assumption can reduce computational costs, but it is violated in a wide range of optimisation problems where transfer learning may nonetheless be useful. We replace this assumption with a weaker one only requiring the shape of the optimisation landscape to be similar, and analyse the recent method Prior Learning for Bayesian …
abstract arxiv bayesian computational costs cs.lg data data-driven inputs least optimisation prior reduce stat.ml tasks transfer transfer learning type
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