Corpus ID: 17686175

Distributed Gaussian Processes

@inproceedings{Deisenroth2015DistributedGP,
  title={Distributed Gaussian Processes},
  author={M. Deisenroth and J. W. Ng},
  booktitle={ICML},
  year={2015}
}
To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression. Unlike state-of-theart sparse GP approximations, the rBCM is conceptually simple and does not rely on inducing or variational parameters. The key idea is to recursively distribute computations to independent computational units and, subsequently, recombine them to form an overall result… Expand
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