{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T03:01:07Z","timestamp":1730343667765,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,4]]},"DOI":"10.23919\/eusipco58844.2023.10289928","type":"proceedings-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T13:55:44Z","timestamp":1698846944000},"page":"1270-1274","source":"Crossref","is-referenced-by-count":0,"title":["Regularization Trade-offs with Fake Features"],"prefix":"10.23919","author":[{"given":"Martin","family":"Hellkvist","sequence":"first","affiliation":[{"name":"Uppsala University,Department of Electrical Engineering,Sweden"}]},{"given":"Av\u00e7a","family":"\u00d6z\u00e7elikkale","sequence":"additional","affiliation":[{"name":"Uppsala University,Department of Electrical Engineering,Sweden"}]},{"given":"Anders","family":"Ahl\u00e9n","sequence":"additional","affiliation":[{"name":"Uppsala University,Department of Electrical Engineering,Sweden"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.1.108"},{"key":"ref12","article-title":"Optimal regularization can mitigate double descent","author":"nakkiran","year":"2021","journal-title":"Int Conf Learn Representations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2036063"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SAM.2006.1706171"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/ac3a77"},{"key":"ref10","article-title":"On the universality of the double descent peak in ridgeless regression","author":"holzmuller","year":"2021","journal-title":"Int Conf on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/20M1336072"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1903070116"},{"key":"ref17","article-title":"Benign overfitting in ridge regression","author":"tsigler","year":"2020","journal-title":"ArXiv"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2988771"},{"key":"ref19","first-page":"1576","article-title":"Non-asymptotic theory of random matrices: Extreme singular values","author":"rudelson","year":"2010","journal-title":"Proc of the Int Congress of Mathematicians"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1015957395"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1907378117"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2307\/2686082"},{"key":"ref9","first-page":"2280","article-title":"Double trouble in double descent: Bias and variance(s) in the lazy regime","volume":"119","author":"d\u2019ascoli","year":"2020","journal-title":"Proceedings of the 37th International Conference on Machine Learning"},{"key":"ref4","article-title":"Multiple descent: Design your own generalization curve","author":"chen","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref3","article-title":"Surprises in high-dimensional ridgeless least squares interpolation","author":"hastie","year":"2020","journal-title":"arXiv 1903 08560"},{"key":"ref6","first-page":"1","article-title":"The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization","volume":"21","author":"kobak","year":"2020","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3237174"}],"event":{"name":"2023 31st European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2023,9,4]]},"location":"Helsinki, Finland","end":{"date-parts":[[2023,9,8]]}},"container-title":["2023 31st European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10289698\/10289713\/10289928.pdf?arnumber=10289928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T18:36:50Z","timestamp":1698863810000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10289928\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.23919\/eusipco58844.2023.10289928","relation":{},"subject":[],"published":{"date-parts":[[2023,9,4]]}}}