{"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/streaming-variational-bayes","title":"Streaming Variational Bayes","arxiv_id":"1307.6769","date":"2013-07-25","proceeding":"NeurIPS 2013 12","authors":["Tamara Broderick","Nicholas Boyd","Andre Wibisono","Ashia C. Wilson","Michael. I. Jordan"],"abstract":"We present SDA-Bayes, a framework for (S)treaming, (D)istributed,\n(A)synchronous computation of a Bayesian posterior. The framework makes\nstreaming updates to the estimated posterior according to a user-specified\napproximation batch primitive. We demonstrate the usefulness of our framework,\nwith variational Bayes (VB) as the primitive, by fitting the latent Dirichlet\nallocation model to two large-scale document collections. We demonstrate the\nadvantages of our algorithm over stochastic variational inference (SVI) by\ncomparing the two after a single pass through a known amount of data---a case\nwhere SVI may be applied---and in the streaming setting, where SVI does not\napply.","url_abs":"http://arxiv.org/abs/1307.6769v2","url_pdf":"http://arxiv.org/pdf/1307.6769v2.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":"streaming-variational-bayes","repo_url":"https://github.com/bachtranxuan/GCTM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"streaming-variational-bayes","repo_url":"https://github.com/bachtranxuan/TPS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"variational-inference","task_name":"Variational Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1307.6769","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}