{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:30:45Z","timestamp":1780511445932,"version":"3.54.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/cdc40024.2019.9029944","type":"proceedings-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T04:43:11Z","timestamp":1584074591000},"page":"3664-3669","source":"Crossref","is-referenced-by-count":3,"title":["Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models"],"prefix":"10.1109","author":[{"given":"Taiyao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis Ch.","family":"Paschalidis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/imaiai\/iax018"},{"key":"ref11","article-title":"Learning mixtures of linear regressions with nearly optimal complexity","author":"li","year":"2018","journal-title":"arXiv preprint arXiv 1802 07814"},{"key":"ref12","first-page":"560","article-title":"A convex formulation for mixed regression with two components: Minimax optimal rates","author":"chen","year":"2014","journal-title":"Conference on Learning Theory"},{"key":"ref13","first-page":"10 891","article-title":"Mixlasso: Generalized mixed regression via convex atomic-norm regularization","author":"yen","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"Learning mixtures of sparse linear regressions using sparse graph codes","author":"yin","year":"2018","journal-title":"IEEE Transactions on Information Theory"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2015.1436"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1388"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2016.7798964"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2789319"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0962280218810911"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176350617"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.2016.0729"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1017\/S0266466605050310"},{"key":"ref3","first-page":"1040","article-title":"Spectral experts for estimating mixtures of linear regressions","author":"chaganty","year":"2013","journal-title":"International Conference on Machine Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2008.01.025"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177700166"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3166\/ejc.13.242-260"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOS1435"},{"key":"ref7","first-page":"1567","article-title":"Regularized em algorithms: A unified framework and statistical guarantees","author":"yi","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","first-page":"2190","article-title":"Mixed linear regression with multiple components","author":"zhong","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Solving a mixture of many random linear equations by tensor decomposition and alternating minimization","author":"yi","year":"2016","journal-title":"arXiv preprint arXiv 1608 05749"},{"key":"ref1","first-page":"613","article-title":"Alternating minimization for mixed linear regression","author":"yi","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1060.0360"},{"key":"ref22","article-title":"Assumptionless consistency of the lasso","author":"chatterjee","year":"2013","journal-title":"arXiv preprint arXiv 1303 5817"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345697"},{"key":"ref23","article-title":"A robust learning approach for regression models based on distributionally robust optimization","volume":"19","author":"chen","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","author":"chen","year":"2012","journal-title":"Identification and Stochastic Adaptive Control"},{"key":"ref25","author":"chow","year":"2012","journal-title":"Probability Theory Independence Interchangeability Martingales"}],"event":{"name":"2019 IEEE 58th Conference on Decision and Control (CDC)","location":"Nice, France","start":{"date-parts":[[2019,12,11]]},"end":{"date-parts":[[2019,12,13]]}},"container-title":["2019 IEEE 58th Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8977134\/9028853\/09029944.pdf?arnumber=9029944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T20:18:42Z","timestamp":1658261922000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9029944\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/cdc40024.2019.9029944","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}