On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression

Jeongyeol Kwon, Nhat Ho, Constantine Caramanis. On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. 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 1405-1413, PMLR, 2021. [doi]

@inproceedings{KwonHC21,
  title = {On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression},
  author = {Jeongyeol Kwon and Nhat Ho and Constantine Caramanis},
  year = {2021},
  url = {http://proceedings.mlr.press/v130/kwon21b.html},
  researchr = {https://researchr.org/publication/KwonHC21},
  cites = {0},
  citedby = {0},
  pages = {1405-1413},
  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},
}