Evading the Curse of Dimensionality in Unconstrained Private GLMs

Shuang Song 0001, Thomas Steinke 0002, Om Thakkar 0001, Abhradeep Thakurta. Evading the Curse of Dimensionality in Unconstrained Private GLMs. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 2638-2646, PMLR, 2021. [doi]

@inproceedings{000100T21,
  title = {Evading the Curse of Dimensionality in Unconstrained Private GLMs},
  author = {Shuang Song 0001 and Thomas Steinke 0002 and Om Thakkar 0001 and Abhradeep Thakurta},
  year = {2021},
  url = {http://proceedings.mlr.press/v130/song21a.html},
  researchr = {https://researchr.org/publication/000100T21},
  cites = {0},
  citedby = {0},
  pages = {2638-2646},
  booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event},
  editor = {Arindam Banerjee 0001 and Kenji Fukumizu},
  volume = {130},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}