{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:13:53Z","timestamp":1740132833113,"version":"3.37.3"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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. Signal Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tsp.2021.3090335","type":"journal-article","created":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T19:33:51Z","timestamp":1624563231000},"page":"3991-4006","source":"Crossref","is-referenced-by-count":1,"title":["Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval"],"prefix":"10.1109","volume":"69","author":[{"given":"Lewis","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9256-9648","authenticated-orcid":false,"given":"Songtao","family":"Lu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4991-7851","authenticated-orcid":false,"given":"Tuo","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhaoran","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2013.03.009"},{"key":"ref38","first-page":"4762","article-title":"Phaseless PCA: Low-rank matrix recovery from column-wise phaseless measurements","author":"nayer","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","first-page":"899","article-title":"Truncated power method for sparse eigenvalue problems","volume":"14","author":"yuan","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref32","first-page":"2622","article-title":"Reshaped Wirtinger flow for solving quadratic system of equations","author":"zhang","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","article-title":"Reshaped Wirtinger flow and incremental algorithms for solving quadratic systems of equations","volume":"29","author":"zhang","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","first-page":"2796","article-title":"Phase retrieval using alternating minimization","author":"netrapalli","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"4347","DOI":"10.1214\/17-EJS1352","article-title":"Provable smoothing approach in high dimensional generalized regression model","volume":"11","author":"han","year":"2017","journal-title":"Electron J Statist"},{"article-title":"Learning single index models in high dimensions","year":"2015","author":"ganti","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2517008"},{"key":"ref34","first-page":"3420","article-title":"Lasso with non-linear measurements is equivalent to one with linear measurements","author":"thrampoulidis","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/120893707"},{"key":"ref27","first-page":"560","article-title":"A convex formulation for mixed regression with two components: Minimax optimal rates","author":"chen","year":"2014","journal-title":"Proc Annu Conf Learn Theory"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3182\/20120711-3-BE-2027.00415"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/138859.138867"},{"key":"ref1","article-title":"A nonconvex optimization framework for low rank matrix estimation","volume":"28","author":"zhao","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.21432"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOS1443"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2399924"},{"article-title":"Randomized low-memory singular value projection","year":"2013","author":"becker","key":"ref24"},{"key":"ref23","first-page":"739","article-title":"Solving random quadratic systems of equations is nearly as easy as solving linear systems","author":"chen","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2014.09.004"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-69802-1_2"},{"key":"ref50","first-page":"917","article-title":"Stochastic variance reduced optimization for nonconvex sparse learning","volume":"48","author":"li","year":"0","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/BF01647331"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00362-018-0980-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2019.05.018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.13182\/NSE05-05"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2684758"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2488608.2488693"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2104999"},{"key":"ref16","first-page":"964","article-title":"Low-rank solutions of linear matrix equations via procrustes flow","author":"tu","year":"2016","journal-title":"Proc 33nd Int Conf Mach Learn"},{"key":"ref17","first-page":"927","article-title":"Efficient learning of generalized linear and single index models with isotonic regression","author":"kakade","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"article-title":"Fast low-rank matrix estimation without the condition number","year":"2017","author":"soltani","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/EJP.v20-3525"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref3","article-title":"The bellkor 2008 solution to the Netflix prize","volume":"1","author":"bell","year":"2008","journal-title":"Statist Res Dept ATT Res"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/MSP.2018.2821706","article-title":"Harnessing structures in big data via guaranteed low-rank matrix estimation","volume":"35","author":"chen","year":"2018","journal-title":"IEEE Signal Process Mag"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2007.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9939-1990-0969514-3"},{"key":"ref7","first-page":"4089","article-title":"Agnostic estimation for misspecified phase retrieval models","volume":"29","author":"neykov","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref49","first-page":"4089","article-title":"Agnostic estimation for misspecified phase retrieval models","author":"neykov","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1009210682"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.56021\/9781421407944","author":"golub","year":"2013","journal-title":"Matrix Computations"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/imaiai\/iaw015"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOS850"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794308.006"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1214\/lnms\/1196283797"},{"article-title":"Score function features for discriminative learning: Matrix and tensor framework","year":"2014","author":"janzamin","key":"ref41"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-46375-7_5"},{"key":"ref43","first-page":"6097","article-title":"Learning non-Gaussian multi-index model via second-order Stein's method","author":"yang","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9307529\/09464746.pdf?arnumber=9464746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T12:15:44Z","timestamp":1672575344000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9464746\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/tsp.2021.3090335","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"type":"print","value":"1053-587X"},{"type":"electronic","value":"1941-0476"}],"subject":[],"published":{"date-parts":[[2021]]}}}