Principal component analysis in the stochastic differential privacy model

Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu 0001, Hongying Liu. Principal component analysis in the stochastic differential privacy model. In Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur, editors, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021. Volume 161 of Proceedings of Machine Learning Research, pages 1110-1119, AUAI Press, 2021. [doi]

@inproceedings{ShangZXLL21,
  title = {Principal component analysis in the stochastic differential privacy model},
  author = {Fanhua Shang and Zhihui Zhang and Tao Xu and Yuanyuan Liu 0001 and Hongying Liu},
  year = {2021},
  url = {https://proceedings.mlr.press/v161/shang21a.html},
  researchr = {https://researchr.org/publication/ShangZXLL21},
  cites = {0},
  citedby = {0},
  pages = {1110-1119},
  booktitle = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021},
  editor = {Cassio P. de Campos and Marloes H. Maathuis and Erik Quaeghebeur},
  volume = {161},
  series = {Proceedings of Machine Learning Research},
  publisher = {AUAI Press},
}