Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method

Cite

Text

Wang and Xu. "Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67664-3_6

Markdown

[Wang and Xu. "Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/wang2020ecmlpkdd-escaping/) doi:10.1007/978-3-030-67664-3_6

BibTeX

@inproceedings{wang2020ecmlpkdd-escaping,
  title     = {{Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method}},
  author    = {Wang, Di and Xu, Jinhui},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {90-106},
  doi       = {10.1007/978-3-030-67664-3_6},
  url       = {https://mlanthology.org/ecmlpkdd/2020/wang2020ecmlpkdd-escaping/}
}