Corpus ID: 1169688

Streaming Variational Inference for Bayesian Nonparametric Mixture Models

@inproceedings{Tank2015StreamingVI,
  title={Streaming Variational Inference for Bayesian Nonparametric Mixture Models},
  author={A. Tank and N. Foti and E. Fox},
  booktitle={AISTATS},
  year={2015}
}
  • A. Tank, N. Foti, E. Fox
  • Published in AISTATS 2015
  • Mathematics, Computer Science
  • In theory, Bayesian nonparametric (BNP) models are well suited to streaming data scenarios due to their ability to adapt model complexity with the observed data. Unfortunately, such benefits have not been fully realized in practice; existing inference algorithms are either not applicable to streaming applications or not extensible to BNP models. For the special case of Dirichlet processes, streaming inference has been considered. However, there is growing interest in more flexible BNP models… CONTINUE READING
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