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Bayesian Quadrature on Riemannian Data Manifolds.

, , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 3459-3468. PMLR, (2021)

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High-Dimensional Gaussian Process Inference with Derivatives., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2535-2545. PMLR, (2021)Active Multi-Information Source Bayesian Quadrature., , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 712-721. AUAI Press, (2019)Integrals over Gaussians under Linear Domain Constraints., , и . CoRR, (2019)Integrals over Gaussians under Linear Domain Constraints., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2764-2774. PMLR, (2020)ProbNum: Probabilistic Numerics in Python., , , , , , , , , и 2 other автор(ы). CoRR, (2021)Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes., , , , и . CoRR, (2022)Numerical Integration as and for Probabilistic Inference.. University of Tübingen, Germany, (2022)Bayesian Quadrature on Riemannian Data Manifolds., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 3459-3468. PMLR, (2021)