Thoughts on Massively Scalable Gaussian Processes

Abstract

We introduce a framework and early results for massively scalable Gaussian processes (MSGP), significantly extending the KISS-GP approach of Wilson and Nickisch (2015). The MSGP framework enables the use of Gaussian processes (GPs) on billions of datapoints, without requiring distributed inference, or severe assumptions. In particular, MSGP reduces the… (More)

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Cite this paper

@article{Wilson2015ThoughtsOM, title={Thoughts on Massively Scalable Gaussian Processes}, author={Andrew Gordon Wilson and Christoph Dann and Hannes Nickisch}, journal={CoRR}, year={2015}, volume={abs/1511.01870} }