{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:32:32Z","timestamp":1730266352217,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207456","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms"],"prefix":"10.1109","author":[{"given":"Prayas","family":"Jain","sequence":"first","affiliation":[]},{"given":"Mridula","family":"Verma","sequence":"additional","affiliation":[]},{"given":"K.K","family":"Shukla","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/SMC.2016.7844468"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.neucom.2020.01.049","article-title":"Convergence analysis of accelerated proximal extra-gradient method with applications","volume":"388","author":"verma","year":"2020","journal-title":"Neurocomputing"},{"key":"ref12","article-title":"A geometric alternative to nesterov’s accelerated gradient descent","author":"bubeck","year":"2015","journal-title":"arXiv preprint arXiv 1506 08700"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1007\/s11263-014-0784-7"},{"key":"ref14","first-page":"1","article-title":"A unified formulation and fast accelerated proximal gradient method for classification","volume":"18","author":"ito","year":"2017","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1016\/j.neucom.2015.08.122"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1016\/j.neucom.2016.09.046"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/j.neucom.2018.01.014"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1016\/j.neucom.2017.07.066"},{"key":"ref19","article-title":"Vaga: a novel viscosity-based accelerated gradient algorithm","author":"verma","year":"2017","journal-title":"Applied Intelligence"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1007\/s10107-004-0552-5"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/S0167-6377(02)00231-6"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1137\/080716542"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TIT.2008.929958"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1016\/j.neucom.2017.06.061"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1007\/s10957-015-0746-4"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1137\/100802001"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/s10107-011-0472-0"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.neucom.2019.01.037","article-title":"Convergence analysis of distributed stochastic gradient descent with shuffling","volume":"337","author":"meng","year":"2019","journal-title":"Neurocomputing"},{"year":"2009","author":"krizhevsky","article-title":"Learning multiple layers of features from tiny images","key":"ref20"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207456.pdf?arnumber=9207456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:52:26Z","timestamp":1656453146000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207456\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207456","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}