{"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/nytro-when-subsampling-meets-early-stopping","title":"NYTRO: When Subsampling Meets Early Stopping","arxiv_id":"1510.05684","date":"2015-10-19","proceeding":null,"authors":["Tomas Angles","Raffaello Camoriano","Alessandro Rudi","Lorenzo Rosasco"],"abstract":"Early stopping is a well known approach to reduce the time complexity for\nperforming training and model selection of large scale learning machines. On\nthe other hand, memory/space (rather than time) complexity is the main\nconstraint in many applications, and randomized subsampling techniques have\nbeen proposed to tackle this issue. In this paper we ask whether early stopping\nand subsampling ideas can be combined in a fruitful way. We consider the\nquestion in a least squares regression setting and propose a form of randomized\niterative regularization based on early stopping and subsampling. In this\ncontext, we analyze the statistical and computational properties of the\nproposed method. Theoretical results are complemented and validated by a\nthorough experimental analysis.","url_abs":"http://arxiv.org/abs/1510.05684v2","url_pdf":"http://arxiv.org/pdf/1510.05684v2.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":"nytro-when-subsampling-meets-early-stopping","repo_url":"https://github.com/LCSL/NYTRO","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"model-selection","task_name":"Model Selection"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[{"method_slug":"early-stopping","method_name":"Early Stopping"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1510.05684","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}