Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap

Raef Bassily, Cristóbal Guzmán, Michael Menart. Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap. In Gergely Neu, Lorenzo Rosasco, editors, The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India. Volume 195 of Proceedings of Machine Learning Research, pages 2482-2508, PMLR, 2023. [doi]

@inproceedings{BassilyGM23,
  title = {Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap},
  author = {Raef Bassily and Cristóbal Guzmán and Michael Menart},
  year = {2023},
  url = {https://proceedings.mlr.press/v195/bassily23a.html},
  researchr = {https://researchr.org/publication/BassilyGM23},
  cites = {0},
  citedby = {0},
  pages = {2482-2508},
  booktitle = {The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India},
  editor = {Gergely Neu and Lorenzo Rosasco},
  volume = {195},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}