Massive scale Gaussian processes with GPflow

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• James Hensman (None / Other)
• Tuesday 06 March 2018, 14:00-14:45
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact INI IT.

UNQW03 - Reducing dimensions and cost for UQ in complex systems

In this talk I'll give an overview of how machine learning techniques have been used to scale Gaussian process models to huge datasets. I'll also introduce GPflow, a software library for Gaussian processes that leverages the computational framework TensorFlow, which is more commonly used for deep learning.

This talk is part of the Isaac Newton Institute Seminar Series series.

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