Learning Topic Models - Provably and Efficiently. Arora, S., Ge, R., Halpern, Y., Mimno, D., Moitra, A., Sontag, D., Wu, Y., & Zhu, M. Communications of the ACM, 61(4):85-93, 2018. Paper bibtex @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},
}
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