High-Dimensional Gaussian Process Inference with Derivatives

de Roos, Filip; Gessner, Alexandra; Hennig, Philipp

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High-Dimensional Gaussian Process Inference with Derivatives

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de Roos, Filip
Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Gessner, Alexandra
Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Hennig, Philipp
Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;
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https://proceedings.mlr.press/v139/de-roos21a.html
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https://doi.org/10.48550/arXiv.2102.07542
(Preprint)

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Citation

de Roos, F., Gessner, A., & Hennig, P. (2021). High-Dimensional Gaussian Process Inference with Derivatives. In M. Meila, & T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning (pp. 2535-2545). PMLR. Retrieved from https://proceedings.mlr.press/v139/de-roos21a.html.

Cite as: https://hdl.handle.net/21.11116/0000-000F-EC74-5

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