Variational Inference for Uncertainty on the Inputs of Gaussian Process Models

no code implementations • 8 Sep 2014 • Andreas C. Damianou, Michalis K. Titsias, Neil D. Lawrence

The Gaussian process latent variable model (GP-LVM) provides a flexible approach for non-linear dimensionality reduction that has been widely applied.

Dimensionality Reduction Gaussian Processes +1

Deep Gaussian Processes

no code implementations • 2 Nov 2012 • Andreas C. Damianou, Neil D. Lawrence

In this paper we introduce deep Gaussian process (GP) models.

Gaussian Processes Model Selection