{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T22:19:09Z","timestamp":1780957149217,"version":"3.54.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61807021"],"award-info":[{"award-number":["61807021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["KQTD20170810150821146"],"award-info":[{"award-number":["KQTD20170810150821146"]}]},{"name":"Innovation and Entrepreneurship Project for Overseas High-Level Talents of Shenzhen","award":["KQJSCX20180327144037831"],"award-info":[{"award-number":["KQJSCX20180327144037831"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Inform. Theory"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1109\/tit.2020.3044622","type":"journal-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T21:37:30Z","timestamp":1607981850000},"page":"1951-1980","source":"Crossref","is-referenced-by-count":7,"title":["On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets"],"prefix":"10.1109","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7020-5456","authenticated-orcid":false,"given":"Shao-Lun","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4178-0934","authenticated-orcid":false,"given":"Xiangxiang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139020411"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2015.7447113"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8006746"},{"key":"ref12","first-page":"3276","article-title":"Discrete Rényi classifiers","author":"razaviyayn","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015281"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971386"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849720"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2307\/2288473"},{"key":"ref17","article-title":"Semi-supervised learning literature survey","author":"zhu","year":"2005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2012.6283007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/0128010"},{"key":"ref28","author":"cover","year":"2012","journal-title":"Elements of Information Theory"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/S0305004100013517"},{"key":"ref27","author":"kato","year":"1976","journal-title":"Perturbation Theory for Linear Operators"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/BF02024507"},{"key":"ref29","first-page":"1380","article-title":"Large deviations techniques and applications","volume":"38","author":"dembo","year":"2011","journal-title":"Appl Math"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/zamm.19410210604"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1214\/aop\/1176995937"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177704583"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2019.8919892"},{"key":"ref9","first-page":"1","article-title":"The randomized dependence coefficient","author":"lopez-paz","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ITW44776.2019.8989373"},{"key":"ref20","article-title":"On universal features for high-dimensional learning and inference","author":"huang","year":"1911"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF02288367"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref24","article-title":"Information contraction and decomposition","author":"makur","year":"2019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107298019"},{"key":"ref26","volume":"80","author":"heath","year":"2018","journal-title":"Scientific Computing An Introductory Survey"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1561\/0100000004"}],"container-title":["IEEE Transactions on Information Theory"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/18\/9356438\/09293308.pdf?arnumber=9293308","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:27Z","timestamp":1652194467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9293308\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":30,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tit.2020.3044622","relation":{},"ISSN":["0018-9448","1557-9654"],"issn-type":[{"value":"0018-9448","type":"print"},{"value":"1557-9654","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}