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News/tidyHEBO: Robust General-Purpose Bayesian Optimization with Model-Consistent Warping and Pareto Search
arxiv
PublishedSeptember 24, 2026 at 4:00 AM
—neutral

tidyHEBO: Robust General-Purpose Bayesian Optimization with Model-Consistent Warping and Pareto Search

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Publisher summary· verbatim

arXiv:2607.10669v2 Announce Type: replace Abstract: Bayesian optimization (BO) is widely used for expensive black-box problems, yet practical performance depends not only on high-level algorithmic choices but also on how surrogate model training, input and output warping transformations, acquisition

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