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Variational Model Selection for Sparse Gaussian Process Regression
Published on Feb 4, 20256202 Views
Model selection for sparse Gaussian process (GP) models is an important problem that involves the selection of both the inducing/active variables and the kernel parameters. We describe an auxiliary va