Settling the robust learnability of mixtures of Gaussians

Allen Liu, Ankur Moitra. Settling the robust learnability of mixtures of Gaussians. 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 518-531, ACM, 2021. [doi]

@inproceedings{LiuM21-9,
  title = {Settling the robust learnability of mixtures of Gaussians},
  author = {Allen Liu and Ankur Moitra},
  year = {2021},
  doi = {10.1145/3406325.3451084},
  url = {https://doi.org/10.1145/3406325.3451084},
  researchr = {https://researchr.org/publication/LiuM21-9},
  cites = {0},
  citedby = {0},
  pages = {518-531},
  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},
}