DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures

Andrew R. Lawrence, Carl Henrik Ek, Neill W. Campbell. DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 3682-3691, PMLR, 2019. [doi]

@inproceedings{LawrenceEC19,
  title = {DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures},
  author = {Andrew R. Lawrence and Carl Henrik Ek and Neill W. Campbell},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/lawrence19a.html},
  researchr = {https://researchr.org/publication/LawrenceEC19},
  cites = {0},
  citedby = {0},
  pages = {3682-3691},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
  editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
  volume = {97},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}