{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T04:30:56Z","timestamp":1730262656582,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T00:00:00Z","timestamp":1667174400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T00:00:00Z","timestamp":1667174400000},"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":[[2022,10,31]]},"DOI":"10.1109\/ieeeconf56349.2022.10052008","type":"proceedings-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T13:41:29Z","timestamp":1678196489000},"page":"1281-1285","source":"Crossref","is-referenced-by-count":0,"title":["A Variance Reduced Nonconvex Stochastic Optimization Framework for Online Kernel Learning"],"prefix":"10.1109","author":[{"given":"Hrusikesha","family":"Pradhan","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Kanpur,Department of Elect. Engg.,Kanpur,Uttar Pradesh,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ketan","family":"Rajawat","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kanpur,Department of Elect. Engg.,Kanpur,Uttar Pradesh,India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Version 1.1. NOAA National Centers for Environmental Inf.","article-title":"Gulf of mexico regional climatology (NCEI Accession 0123320)","author":"Boyer","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1098918.1098925"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1072989.1072992"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-009-0078-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/icassp.2017.7953042"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-3030-1_56"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44581-1_27"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746400"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898718751"},{"key":"ref10","article-title":"Spider: Near-optimal non-convex optimization via stochastic path-integrated differential estimator","volume":"31","author":"Fang","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref11","article-title":"Spiderboost and momentum: Faster variance reduction algorithms","volume":"32","author":"Wang","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","article-title":"Stochastic nested variance reduction for nonconvex optimization","volume":"31","author":"Zhou","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-022-01822-7"},{"key":"ref14","article-title":"An optimal hybrid variance-reduced algorithm for stochastic composite nonconvex optimization","author":"Liu","year":"2020","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-020-01583-1"},{"key":"ref16","article-title":"Momentum-based variance reduction in non-convex sgd","volume":"32","author":"Cutkosky","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06075-7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5555\/2999611.2999647"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1201\/b15702"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(71)90184-3"},{"issue":"1","key":"ref21","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1023\/A:1013955821559","article-title":"Kernel matching pursuit","volume":"48","author":"Vincent","year":"2002","journal-title":"Mach. Learn."},{"key":"ref22","first-page":"2613","article-title":"Sarah: A novel method for machine learning problems using stochastic recursive gradient","volume-title":"International Conference on Machine Learning","author":"Nguyen","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-021-10051-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2021.3087111"}],"event":{"name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2022,10,31]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2022,11,2]]}},"container-title":["2022 56th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10051833\/10051818\/10052008.pdf?arnumber=10052008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T02:29:28Z","timestamp":1710383368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10052008\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,31]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf56349.2022.10052008","relation":{},"subject":[],"published":{"date-parts":[[2022,10,31]]}}}