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Tutorial: The Art of Gaussian Processes: Classical and Contemporary

From GPLVM to Deep GPs

César Lincoln Mattos


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.