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Predictively Oriented Gaussian Process Posteriors

arXiv:2610.03201v1 Announce Type: new Abstract: Gaussian Processes (GPs) are a powerful tool for modelling and quantifying uncertainty in functional relationships. However, they require practitioners to make a number of design decisions, such as the choice of the kernel and the observation model. S…

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  1. 2026-10-05 04:00 · arXiv stat.ML
    Predictively Oriented Gaussian Process Posteriors

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