From GPLVM to Deep GPs
César Lincoln Mattos
2021 Talk
in
Tutorial: The Art of Gaussian Processes: Classical and Contemporary
in
Tutorial: The Art of Gaussian Processes: Classical and Contemporary
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.
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