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High-Dimensional Gaussian Process Inference with Derivatives
Although it is widely known that Gaussian processes can be conditioned o...
02/15/2021 ∙ by Filip de Roos, et al. ∙
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Bayesian Quadrature on Riemannian Data Manifolds
Riemannian manifolds provide a principled way to model nonlinear geometr...
02/12/2021 ∙ by Christian Fröhlich, et al. ∙
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Integrals over Gaussians under Linear Domain Constraints
Integrals of linearly constrained multivariate Gaussian densities are a ...
10/21/2019 ∙ by Alexandra Gessner, et al. ∙
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Active Multi-Information Source Bayesian Quadrature
Bayesian quadrature (BQ) is a sample-efficient probabilistic numerical m...
03/27/2019 ∙ by Alexandra Gessner, et al. ∙
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