Rotation Invariant Householder Parameterization for Bayesian PCA

Rajbir-Singh Nirwan, Nils Bertschinger. Rotation Invariant Householder Parameterization for Bayesian PCA. 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 4820-4828, PMLR, 2019. [doi]

@inproceedings{NirwanB19,
  title = {Rotation Invariant Householder Parameterization for Bayesian PCA},
  author = {Rajbir-Singh Nirwan and Nils Bertschinger},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/nirwan19a.html},
  researchr = {https://researchr.org/publication/NirwanB19},
  cites = {0},
  citedby = {0},
  pages = {4820-4828},
  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},
}