Gaussian Process Random Fields

NeurIPS 2015 David A. MooreStuart J. Russell

Gaussian processes have been successful in both supervised and unsupervised machine learning tasks, but their computational complexity has constrained practical applications. We introduce a new approximation for large-scale Gaussian processes, the Gaussian Process Random Field (GPRF), in which local GPs are coupled via pairwise potentials... (read more)

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