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Massive scale Gaussian processes with GPflow

Presented by: 
James Hensman None / Other
Tuesday 6th March 2018 - 14:00 to 14:45
INI Seminar Room 1
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.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons