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Callum Lau

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#machine learning Preprint Oct 2026

Predictively Oriented Gaussian Process Posteriors

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. Suboptimal choices can produce misspecified models that do not capture...

Callum Lau, Jeremias Knoblauch, Louis Sharrock · 0 citations

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