Learning mixtures of linear regressions in subexponential time via Fourier moments

Sitan Chen, Jerry Li 0001, Zhao Song. Learning mixtures of linear regressions in subexponential time via Fourier moments. In Konstantin Makarychev, Yury Makarychev, Madhur Tulsiani, Gautam Kamath 0001, Julia Chuzhoy, editors, Proccedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020. pages 587-600, ACM, 2020. [doi]

@inproceedings{Chen0S20,
  title = {Learning mixtures of linear regressions in subexponential time via Fourier moments},
  author = {Sitan Chen and Jerry Li 0001 and Zhao Song},
  year = {2020},
  doi = {10.1145/3357713.3384333},
  url = {https://doi.org/10.1145/3357713.3384333},
  researchr = {https://researchr.org/publication/Chen0S20},
  cites = {0},
  citedby = {0},
  pages = {587-600},
  booktitle = {Proccedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020},
  editor = {Konstantin Makarychev and Yury Makarychev and Madhur Tulsiani and Gautam Kamath 0001 and Julia Chuzhoy},
  publisher = {ACM},
  isbn = {978-1-4503-6979-4},
}