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High-Dimensional Gaussian Process Inference with Derivatives
Although it is widely known that Gaussian processes can be conditioned o...
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Bayesian Quadrature on Riemannian Data Manifolds
Riemannian manifolds provide a principled way to model nonlinear geometr...
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Integrals over Gaussians under Linear Domain Constraints
Integrals of linearly constrained multivariate Gaussian densities are a ...
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Active Multi-Information Source Bayesian Quadrature
Bayesian quadrature (BQ) is a sample-efficient probabilistic numerical m...
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Alexandra Gessner
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