Learning topic models — Provably and efficiently

Sanjeev Arora, Rong Ge, Yoni Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu

Research output: Contribution to journalArticle

2 Scopus citations
Original languageEnglish (US)
Pages (from-to)85-93
Number of pages9
JournalCommunications of the ACM
Volume61
Issue number4
DOIs
StatePublished - Apr 2018

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Arora, S., Ge, R., Halpern, Y., Mimno, D., Moitra, A., Sontag, D., Wu, Y., & Zhu, M. (2018). Learning topic models — Provably and efficiently. Communications of the ACM, 61(4), 85-93. https://doi.org/10.1145/3186262