{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/conic-scan-and-cover-algorithms-for","title":"Conic Scan-and-Cover algorithms for nonparametric topic modeling","arxiv_id":"1710.02952","date":"2017-10-09","proceeding":"NeurIPS 2017 12","authors":["Mikhail Yurochkin","Aritra Guha","XuanLong Nguyen"],"abstract":"We propose new algorithms for topic modeling when the number of topics is\nunknown. Our approach relies on an analysis of the concentration of mass and\nangular geometry of the topic simplex, a convex polytope constructed by taking\nthe convex hull of vertices representing the latent topics. Our algorithms are\nshown in practice to have accuracy comparable to a Gibbs sampler in terms of\ntopic estimation, which requires the number of topics be given. Moreover, they\nare one of the fastest among several state of the art parametric techniques.\nStatistical consistency of our estimator is established under some conditions.","url_abs":"http://arxiv.org/abs/1710.02952v1","url_pdf":"http://arxiv.org/pdf/1710.02952v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"conic-scan-and-cover-algorithms-for","repo_url":"https://github.com/moonfolk/Geometric-Topic-Modeling","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}