Talk
in
Tutorial: The Art of Gaussian Processes: Classical and Contemporary
From GPLVM to Deep GPs
César Lincoln Mattos
Abstract:
We consider the unsupervised setting, more specifically, the task of nonlinear dimensionality reduction. We summarize the GP latent variable model (GPLVM) and indicate how it can be used as a building block for other generative models, such as the deep GP and other flexible probabilistic models.