Sample-efficient proper PAC learning with approximate differential privacy

Badih Ghazi, Noah Golowich, Ravi Kumar 0001, Pasin Manurangsi. Sample-efficient proper PAC learning with approximate differential privacy. In Samir Khuller, Virginia Vassilevska Williams, editors, STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, Virtual Event, Italy, June 21-25, 2021. pages 183-196, ACM, 2021. [doi]

@inproceedings{GhaziG0M21-0,
  title = {Sample-efficient proper PAC learning with approximate differential privacy},
  author = {Badih Ghazi and Noah Golowich and Ravi Kumar 0001 and Pasin Manurangsi},
  year = {2021},
  doi = {10.1145/3406325.3451028},
  url = {https://doi.org/10.1145/3406325.3451028},
  researchr = {https://researchr.org/publication/GhaziG0M21-0},
  cites = {0},
  citedby = {0},
  pages = {183-196},
  booktitle = {STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, Virtual Event, Italy, June 21-25, 2021},
  editor = {Samir Khuller and Virginia Vassilevska Williams},
  publisher = {ACM},
  isbn = {978-1-4503-8053-9},
}