{"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/sgdlibrary-a-matlab-library-for-stochastic","title":"SGDLibrary: A MATLAB library for stochastic gradient descent algorithms","arxiv_id":"1710.10951","date":"2017-10-27","proceeding":null,"authors":["Hiroyuki Kasai"],"abstract":"We consider the problem of finding the minimizer of a function $f:\n\\mathbb{R}^d \\rightarrow \\mathbb{R}$ of the finite-sum form $\\min f(w) =\n1/n\\sum_{i}^n f_i(w)$. This problem has been studied intensively in recent\nyears in the field of machine learning (ML). One promising approach for\nlarge-scale data is to use a stochastic optimization algorithm to solve the\nproblem. SGDLibrary is a readable, flexible and extensible pure-MATLAB library\nof a collection of stochastic optimization algorithms. The purpose of the\nlibrary is to provide researchers and implementers a comprehensive evaluation\nenvironment for the use of these algorithms on various ML problems.","url_abs":"http://arxiv.org/abs/1710.10951v2","url_pdf":"http://arxiv.org/pdf/1710.10951v2.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":"sgdlibrary-a-matlab-library-for-stochastic","repo_url":"https://github.com/hiroyuki-kasai/SGDLibrary","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"stochastic-optimization","task_name":"Stochastic Optimization"}],"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}