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News/Scalable Derivative Gaussian Processes via Exact Gradient Reduction
arxiv
PublishedJune 3, 2026 at 4:00 AM
—neutral

Scalable Derivative Gaussian Processes via Exact Gradient Reduction

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Publisher summary· verbatim

arXiv:2606.02909v1 Announce Type: cross Abstract: Gradient observations can substantially improve Gaussian process (GP) surrogates, particularly in high-dimensional settings where function evaluations are expensive. However, exact inference with $n$ function values and $n$ full gradients in $d$ dime

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