{"id":2590,"date":"2025-03-24T07:04:51","date_gmt":"2025-03-24T07:04:51","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/03\/24\/2503-16753\/"},"modified":"2025-03-24T07:04:51","modified_gmt":"2025-03-24T07:04:51","slug":"2503-16753","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/03\/24\/2503-16753\/","title":{"rendered":"EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python"},"content":{"rendered":"<p>    EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>arXiv:2503.16753v1 Announce Type: new<br \/>\nAbstract: Iterative learning procedures are ubiquitous in machine learning and modern statistics.<br \/>\n  Regularision is typically required to prevent inflating the expected loss of a procedure in<br \/>\n  later iterations via the propagation of noise inherent in the data.<br \/>\n  Significant emphasis has been placed on achieving this regularisation implicitly by stopping<br \/>\n  procedures early.<br \/>\n  The EarlyStopping-package provides a toolbox of (in-sample) sequential early stopping rules for<br \/>\n  several well-known iterative estimation procedures, such as truncated SVD, Landweber (gradient<br \/>\n  descent), conjugate gradient descent, L2-boosting and regression trees.<br \/>\n  One of the central features of the package is that the algorithms allow the specification of the<br \/>\n  true data-generating process and keep track of relevant theoretical quantities.<br \/>\n  In this paper, we detail the principles governing the implementation of the EarlyStopping-package and provide<br \/>\n  a survey of recent foundational advances in the theoretical literature.<br \/>\n  We demonstrate how to use the EarlyStopping-package to explore core features of implicit regularisation<br \/>\n  and replicate results from the literature.<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Eric Ziebell, Ratmir Miftachov, Bernhard Stankewitz, Laura Hucker<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/2503.16753\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python arXiv:2503.16753v1 Announce Type: new Abstract: Iterative learning procedures are ubiquitous in machine learning and modern statistics. Regularision is typically required to prevent inflating the expected loss of a procedure in later iterations via the propagation of noise inherent in the data. Significant emphasis has been placed [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,113,2103,112],"tags":[2104,2106,2105],"class_list":["post-2590","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-cs-lg","category-cs-ms","category-stat-ml","tag-earlystopping","tag-iterative","tag-procedures"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/2590"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=2590"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/2590\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=2590"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=2590"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=2590"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}