{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T14:09:02Z","timestamp":1774966142367,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Foundation","doi-asserted-by":"publisher","award":["NNF200C0061894"],"award-info":[{"award-number":["NNF200C0061894"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273287"],"award-info":[{"award-number":["62273287"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,13]]},"DOI":"10.1109\/cdc49753.2023.10384051","type":"proceedings-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:38:36Z","timestamp":1705689516000},"page":"1498-1504","source":"Crossref","is-referenced-by-count":4,"title":["Towards Scalable Kernel-Based Regularized System Identification"],"prefix":"10.1109","author":[{"given":"Lujing","family":"Chen","sequence":"first","affiliation":[{"name":"University of Denmark,Department of Applied Mathematics and Computer Science, Technical,Kgs. Lyngby,Denmark,2800"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianshi","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Data Science and Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong,Shenzhen,China,518172"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Utkarsh","family":"Detha","sequence":"additional","affiliation":[{"name":"MOSEK ApS,Copenhagen,Denmark,2100"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin S.","family":"Andersen","sequence":"additional","affiliation":[{"name":"University of Denmark,Department of Applied Mathematics and Computer Science, Technical,Kgs. Lyngby,Denmark,2800"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","author":"Andersen","year":"2023","journal-title":"EGRSS v0.1.0 (GitHub)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/19M1267349"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1090\/qam\/42792"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2017.07.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CCA.2014.6981380"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2012.05.026"},{"issue":"72","key":"ref7","first-page":"2153","article-title":"On the Nystr\u00f6m method for approximating a Gram matrix for improved kernel-based learning","volume":"6","author":"Drineas","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/21m1466244"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/9781108348973"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2307\/1268518"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.6028\/jres.049.044"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/03610919008812866"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/s1052623496303470"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976496.16"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/7.4.308"},{"key":"ref16","volume-title":"Numerical Optimization","author":"Nocedal","year":"2006"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/355984.355989"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2014.01.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2009.10.031"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00211-017-0880-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1137\/16M1104974"},{"key":"ref22","first-page":"23751","volume-title":"Preconditioning for scalable Gaussian process hyperparameter optimization","author":"Wenger"}],"event":{"name":"2023 62nd IEEE Conference on Decision and Control (CDC)","location":"Singapore, Singapore","start":{"date-parts":[[2023,12,13]]},"end":{"date-parts":[[2023,12,15]]}},"container-title":["2023 62nd IEEE Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10383192\/10383193\/10384051.pdf?arnumber=10384051","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T16:25:43Z","timestamp":1706027143000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10384051\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,13]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/cdc49753.2023.10384051","relation":{},"subject":[],"published":{"date-parts":[[2023,12,13]]}}}