Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences

Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas. Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 64-75, 2018. [doi]

@inproceedings{KnoblauchJD18,
  title = {Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences},
  author = {Jeremias Knoblauch and Jack Jewson and Theodoros Damoulas},
  year = {2018},
  url = {http://papers.nips.cc/paper/7292-doubly-robust-bayesian-inference-for-non-stationary-streaming-data-with-beta-divergences},
  researchr = {https://researchr.org/publication/KnoblauchJD18},
  cites = {0},
  citedby = {0},
  pages = {64-75},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}