Learning topic models -- provably and efficiently
Sanjeev Arora, Rong Yu Ge, Yoni Halpern, David Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu · Communications of the ACM · 2018
research-article Open Access Share on Learning topic models -- provably and efficiently Authors: Sanjeev Arora Princeton University, Princeton, NJ Princeton University, Princeton, NJView Profile , Rong Ge Duke University, Durham, NC Duke University, Durham, NCView Profile , Yoni Halpern Google, Cambridge, MA Google, Cambridge, MAView Profile , David Mimno Cornell University, Ithaca, NY Cornell University, Ithaca, NYView Profile , Ankur Moitra MIT, Cambridge, MA MIT, Cambridge, MAView Profile , David Sontag MIT, Cambridge, MA MIT, Cambridge, MAView Profile , Yichen Wu View Profile , Michael Zhu Stanford University, Stanford, CA Stanford University, Stanford, CAView Profile Authors Info & Claims Communications of the ACMVolume 61Issue 4April 2018 pp 85–93https://doi.org/10.1145/3186262Published:26 March 2018Publication History 8citation11,514DownloadsMetricsTotal Citations8Total Downloads11,514Last 12 Months6,906Last 6 weeks360 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF