most citedA Data-Adaptive Prior for Bayesian Learning of Kernels in Operators

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A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators

Neil K. Chada, Quanjun Lang, Fei Lu +1

Kernels are efficient in representing nonlocal dependence and they are widely used to design operators between function spaces. Thus, learning kernels in operators from data is an…