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Meghan E. Huber

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#machine learning Preprint Oct 2026

Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds

Bayesian Optimization (BO) has become an established methodology for minimizing black-box functions of a vector input. Often, however, this parameter vector arises from the discretization of an inherently functional relationship. Several recent articles have considered the Functional Bayesian Optimization (FBO) setting...

Davide Sartor, Meghan E. Huber, Donghyun Kim et al. · 0 citations