Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures

Rasmus Bonnevie, Mikkel N. Schmidt, Morten Mørup. Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures. In Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen, editors, 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{BonnevieSM17,
  title = {Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures},
  author = {Rasmus Bonnevie and Mikkel N. Schmidt and Morten Mørup},
  year = {2017},
  url = {https://www.wikidata.org/entity/Q52796861},
  researchr = {https://researchr.org/publication/BonnevieSM17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017},
  editor = {Naonori Ueda and Shinji Watanabe and Tomoko Matsui and Jen-Tzung Chien and Jan Larsen},
  publisher = {IEEE},
  isbn = {978-1-5090-6341-3},
}