{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:23:15Z","timestamp":1740165795472,"version":"3.37.3"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"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":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tnnls.2022.3189069","type":"journal-article","created":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T19:33:26Z","timestamp":1657827206000},"page":"2250-2262","source":"Crossref","is-referenced-by-count":0,"title":["Markov Subsampling Based on Huber Criterion"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3840-441X","authenticated-orcid":false,"given":"Tieliang","family":"Gong","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Networks and Network Security, Ministry of Education, and the School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4475-5056","authenticated-orcid":false,"given":"Yuxin","family":"Dong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Networks and Network Security, Ministry of Education, and the School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9084-5482","authenticated-orcid":false,"given":"Hong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Science, Huazhong Agriculture University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7695-9072","authenticated-orcid":false,"given":"Bo","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Continuing Education, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0079-3106","authenticated-orcid":false,"given":"Chen","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Networks and Network Security, Ministry of Education, and the School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"3299","article-title":"Divide and conquer kernel ridge regression: A distributed algorithm with minimax optimal rates","volume":"16","author":"Zhang","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref2","first-page":"360","article-title":"New subsampling algorithms for fast least squares regression","volume-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst.","author":"Dhillon"},{"key":"ref3","first-page":"3475","article-title":"Fast approximation of matrix coherence and statistical leverage","volume":"13","author":"Drineas","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00211-010-0331-6"},{"issue":"1","key":"ref5","first-page":"861","article-title":"A statistical perspective on algorithmic leveraging","volume":"16","author":"Ma","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref6","first-page":"5677","article-title":"On fast leverage score sampling and optimal learning","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Rudi"},{"key":"ref7","first-page":"406","article-title":"Gradient-based sampling: An adaptive importance sampling for least-squares","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Zhu"},{"key":"ref8","first-page":"3654","article-title":"Optimal subsampling with influence functions","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Ting"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703732"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1214\/11-EJS635"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5705\/ss.202019.0045"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2018.1543124"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.spa.2019.09.004"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.apm.2020.05.012","article-title":"Low-rank elastic-net regularized multivariate Huber regression model","volume":"87","author":"Chen","year":"2020","journal-title":"Appl. Math. Model."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00522"},{"key":"ref16","first-page":"1","article-title":"Huber additive models for non-stationary time series analysis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177699450"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1032181172"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/9781108231596"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4064\/dm485-0-1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1214\/11-AIHP454"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/03610927708827533"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2020.1773832"},{"issue":"132","key":"ref24","first-page":"1","article-title":"More efficient estimation for logistic regression with optimal subsamples","volume":"20","author":"Wang","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/0471725382"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOS1471"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2429312"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34910-3_6"},{"key":"ref29","first-page":"9918","article-title":"On Markov chain gradient descent","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Sun"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-3267-7"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1214\/aop\/1176987798"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2049662.2049669"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1214\/ECP.v2-981"},{"key":"ref34","article-title":"Hoeffding\u2019s lemma for Markov chains and its applications to statistical learning","author":"Fan","year":"2018","journal-title":"arXiv:1802.00211"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511618796"},{"key":"ref36","article-title":"Bernstein\u2019s inequality for general Markov chains","author":"Jiang","year":"2018","journal-title":"arXiv:1801.00341"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1568"},{"key":"ref38","first-page":"415","article-title":"Fast and robust least squares estimation in corrupted linear models","volume-title":"Proc. 27th Int. Conf. Adv. Neural Process. Syst.","author":"McWilliams"},{"key":"ref39","article-title":"Bernstein\u2013von Mises theorem for growing parameter dimension","author":"Spokoiny","year":"2013","journal-title":"arXiv:1302.3430"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10422842\/09830623.pdf?arnumber=9830623","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T19:09:42Z","timestamp":1708110582000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9830623\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":39,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3189069","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}