{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:41:36Z","timestamp":1730230896915,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/icassp40776.2020.9053410","type":"proceedings-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T20:21:13Z","timestamp":1586463673000},"page":"5475-5479","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling"],"prefix":"10.1109","author":[{"given":"Yousef","family":"El-Laham","sequence":"first","affiliation":[]},{"given":"Petar M.","family":"Djuric","sequence":"additional","affiliation":[]},{"given":"Monica F.","family":"Bugallo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1016\/0370-2693(87)91197-X"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1111\/j.1467-9868.2010.00765.x"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1214\/aos\/1033066201"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/MSP.2017.2699226"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1198\/106186004X12803"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1007\/s11222-008-9059-x"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1111\/j.1467-9469.2011.00756.x"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/TSP.2015.2440215"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1007\/s11222-016-9642-5"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/EUSIPCO.2015.7362433"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1063\/1.1699114"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1002\/9781119125495"},{"key":"ref6","first-page":"337","article-title":"Adaptive rejection sampling for Gibbs sampling","volume":"41","author":"gilks","year":"1992","journal-title":"Journal of the Royal Statistical Society Series C (Applied Statistics)"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1093\/biomet\/57.1.97"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1007\/s11222-008-9110-y"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1214\/193940307000000518"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1201\/b16018"},{"year":"2013","author":"robert","journal-title":"Monte Carlo Statistical Methods","key":"ref1"},{"key":"ref9","volume":"714","author":"liang","year":"2011","journal-title":"Advanced Markov Chain Monte Carlo Methods Learning from Past Samples"},{"year":"2001","author":"andrieu","journal-title":"Controlled MCMC for Optimal Sampling","key":"ref20"},{"key":"ref22","article-title":"Convex optimization for Monte Carlo: Stochastic optimization for importance sampling","author":"ryu","year":"2016","journal-title":"Ph D thesis"},{"key":"ref21","article-title":"Adaptive importance sampling via stochastic convex programming","author":"ryu","year":"2014","journal-title":"arXiv preprint arXiv 1412 4845"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/LSP.2019.2954048"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/ICASSP.2019.8683152"},{"key":"ref25","first-page":"2545","article-title":"Variants of rmsprop and adagrad with logarithmic regret bounds","author":"mukkamala","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70"}],"event":{"name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2020,5,4]]},"location":"Barcelona, Spain","end":{"date-parts":[[2020,5,8]]}},"container-title":["ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9040208\/9052899\/09053410.pdf?arnumber=9053410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:25:59Z","timestamp":1656375959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9053410\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp40776.2020.9053410","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}