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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.