Learning Topic Models - Provably and Efficiently. Arora, S.; Ge, R.; Halpern, Y.; Mimno, D.; Moitra, A.; Sontag, D.; Wu, Y.; and Zhu, M. Communications of the ACM, 61(4):85-93, 2018.
Learning Topic Models - Provably and Efficiently [link]Paper  bibtex   1 download  
@article{AroraEtAl_CACM18,
  author    = {Sanjeev Arora and Rong Ge and Yoni Halpern and David Mimno and Ankur Moitra and David Sontag and Yichen Wu and Michael Zhu},
  title     = {Learning Topic Models - Provably and Efficiently},
  journal = {Communications of the {ACM}},
  year = {2018},
  volume = {61},
  number = {4},
  pages  = {85-93},
  keywords = {Machine learning, Unsupervised learning, Topic models},
  url_Paper = {https://cacm.acm.org/magazines/2018/4/226373-learning-topic-models-provably-and-efficiently/fulltext},
}
Downloads: 1