Machine Learning with Gaussian Processes

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at Amazon Machine Learning Conference, Seattle on Apr 28, 2016 [pdf]
Neil D. Lawrence, University of Sheffield

Abstract

Gaussian processes (GPs) provide a principled probabilistic approach to prior probability distributions for functions. In this talk we will give an overview of some uses of GPs and their extensions. In particular we will introduce mechanistic models alongside GPs and also use GPs within a structured framework of latent variable models.

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