Empirical Inference Human Aspects of Machine Learning Conference Paper 2022

Hermite Polynomial Features for Private Data Generation

Author(s): Vinaroz*, Margarita and Charusaie*, Mohammad-Amin and Harder, Frederik and Adamczewski, Kamil and Park, Mi Jung
Book Title: Proceedings of the 39th International Conference on Machine Learning (ICML)
Volume: 162
Pages: 22300--22324
Year: 2022
Month: July
Series: Proceedings of Machine Learning Research
Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: Baltimore, Maryland, USA
State: Published
URL: https://proceedings.mlr.press/v162/vinaroz22a.html
Electronic Archiving: grant_archive
Note: *equal contribution

BibTex

@conference{Vinarozetal22,
  title = {Hermite Polynomial Features for Private Data Generation},
  booktitle = {Proceedings of the 39th International Conference on Machine Learning (ICML)},
  volume = {162},
  pages = {22300--22324},
  series = {Proceedings of Machine Learning Research},
  editors = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
  publisher = {PMLR},
  month = jul,
  year = {2022},
  note = {*equal contribution},
  slug = {vinarozetal22},
  author = {Vinaroz*, Margarita and Charusaie*, Mohammad-Amin and Harder, Frederik and Adamczewski, Kamil and Park, Mi Jung},
  url = {https://proceedings.mlr.press/v162/vinaroz22a.html},
  month_numeric = {7}
}