Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation

23 May 2019Théo Galy-FajouFlorian WenzelChristian DonnerManfred Opper

We propose a new scalable multi-class Gaussian process classification approach building on a novel modified softmax likelihood function. The new likelihood has two benefits: it leads to well-calibrated uncertainty estimates and allows for an efficient latent variable augmentation... (read more)

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