Neural feature maps create expressive kernels that enable fast, scalable, and consistent exact Gaussian process inference for regression and classification.
citation dossier
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence , pages =
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UNVERDICTEDtop verdict bucket · 1 papers
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Scalable Gaussian process inference via neural feature maps
Neural feature maps create expressive kernels that enable fast, scalable, and consistent exact Gaussian process inference for regression and classification.