Manifold Gaussian Processes for Regression

24 Feb 2014Roberto CalandraJan PetersCarl Edward RasmussenMarc Peter Deisenroth

Off-the-shelf Gaussian Process (GP) covariance functions encode smoothness assumptions on the structure of the function to be modeled. To model complex and non-differentiable functions, these smoothness assumptions are often too restrictive... (read more)

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