Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate

James Jordon, Jinsung Yoon, Mihaela van der Schaar. Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 4325-4334, 2019. [doi]

@inproceedings{JordonYS19-0,
  title = {Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate},
  author = {James Jordon and Jinsung Yoon and Mihaela van der Schaar},
  year = {2019},
  url = {http://papers.nips.cc/paper/8684-differentially-private-bagging-improved-utility-and-cheaper-privacy-than-subsample-and-aggregate},
  researchr = {https://researchr.org/publication/JordonYS19-0},
  cites = {0},
  citedby = {0},
  pages = {4325-4334},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}