Corpus ID: 16026830

Streaming, Distributed Variational Inference for Bayesian Nonparametrics

@inproceedings{Campbell2015StreamingDV,
  title={Streaming, Distributed Variational Inference for Bayesian Nonparametrics},
  author={Trevor Campbell and Julian Straub and John W. Fisher and Jonathan P. How},
  booktitle={NIPS},
  year={2015}
}
  • Trevor Campbell, Julian Straub, +1 author Jonathan P. How
  • Published in NIPS 2015
  • Computer Science, Mathematics
  • This paper presents a methodology for creating streaming, distributed inference algorithms for Bayesian nonparametric (BNP) models. In the proposed framework, processing nodes receive a sequence of data minibatches, compute a variational posterior for each, and make asynchronous streaming updates to a central model. In contrast to previous algorithms, the proposed framework is truly streaming, distributed, asynchronous, learning-rate-free, and truncation-free. The key challenge in developing… CONTINUE READING

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