Variational Gaussian Processes

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at Max Planck Institute, Tübingen, Germany on Mar 11, 2013 [pdf]
Neil D. Lawrence, University of Sheffield

Abstract

In this talk we will review the variational approximation to Gaussian processes which enables Bayesian learning of latent variables. We will focus in particular on a new explanation of the variational approach that also leads to stochastic variational inference for GPs.

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