Variational Russian Roulette for Deep Bayesian Nonparametrics. Xu, K., Srivastava, A., & Sutton, C. In International Conference on Machine Learning, pages 6963–6972, May, 2019.
abstract   bibtex   
Bayesian nonparametric models provide a principled way to automatically adapt the complexity of a model to the amount of the data available, but computation in such models is difficult. Amortized v...
@inproceedings{xu2019variational,
  title = {Variational Russian Roulette for Deep Bayesian Nonparametrics},
  booktitle = {International Conference on Machine Learning},
  author = {Xu, Kai and Srivastava, Akash and Sutton, Charles},
  year = {2019},
  month = may,
  pages = {6963--6972},
  issn = {1938-7228},
  abstract = {Bayesian nonparametric models provide a principled way to automatically adapt the complexity of a model to the amount of the data available, but computation in such models is difficult. Amortized v...},
  chapter = {Machine Learning},
  copyright = {All rights reserved},
  file = {/Users/kai/Zotero/storage/N764BFYI/Xu et al_2019_Variational Russian Roulette for Deep Bayesian Nonparametrics.pdf;/Users/kai/Zotero/storage/VKB3BPP3/xu19e.html},
  language = {en}
}

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