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Variational Gaussian Processes: A Functional Analysis View
Variational Gaussian process (GP) approximations have become a standard tool in fast GP inference.
Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes
We investigate the connections between sparse approximation methods for making kernel methods and Gaussian processes (GPs) scalable to large-scale data, focusing on the Nystr\"om method and the Sparse Variational Gaussian Processes (SVGP).
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