Sample-optimal and efficient learning of tree Ising models

Constantinos Daskalakis, Qinxuan Pan. Sample-optimal and efficient learning of tree Ising models. 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 133-146, ACM, 2021. [doi]

@inproceedings{DaskalakisP21,
  title = {Sample-optimal and efficient learning of tree Ising models},
  author = {Constantinos Daskalakis and Qinxuan Pan},
  year = {2021},
  doi = {10.1145/3406325.3451006},
  url = {https://doi.org/10.1145/3406325.3451006},
  researchr = {https://researchr.org/publication/DaskalakisP21},
  cites = {0},
  citedby = {0},
  pages = {133-146},
  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},
}