{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:47:01Z","timestamp":1740178021310,"version":"3.37.3"},"reference-count":38,"publisher":"Informa UK Limited","funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CAREER CMMI-1453934"],"award-info":[{"award-number":["CAREER CMMI-1453934"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA9550-19-1-0283"],"award-info":[{"award-number":["FA9550-19-1-0283"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["IISE Transactions"],"DOI":"10.1080\/24725854.2020.1869352","type":"journal-article","created":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T18:02:11Z","timestamp":1609783331000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":5,"title":["Solving Bayesian risk optimization via nested stochastic gradient estimation"],"prefix":"10.1080","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5845-8506","authenticated-orcid":false,"given":"Sait","family":"Cakmak","sequence":"first","affiliation":[{"name":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[{"name":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enlu","family":"Zhou","sequence":"additional","affiliation":[{"name":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2021,2,12]]},"reference":[{"volume-title":"Proceedings of the Winter Simulation Conference","year":"2012","author":"Barton R.R.","key":"CIT0001"},{"key":"CIT0002","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1090.0715"},{"key":"CIT0003","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2015.1419"},{"key":"CIT0004","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.42.2.269"},{"key":"CIT0005","volume":"33","author":"Cakmak S.","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"CIT0006","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7547-8_2"},{"key":"CIT0007","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9236-8"},{"key":"CIT0008","unstructured":"Frazier, P.I. (2018) A tutorial on Bayesian optimization. arXiv e-prints. arXiv identifier: 1807.02811."},{"key":"CIT0009","doi-asserted-by":"publisher","DOI":"10.1016\/S0927-0507(06)13019-4"},{"key":"CIT0010","doi-asserted-by":"publisher","DOI":"10.1002\/nav.20313"},{"key":"CIT0011","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1100.1213"},{"key":"CIT0012","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1080.0531"},{"key":"CIT0013","doi-asserted-by":"publisher","DOI":"10.1145\/2661631"},{"key":"CIT0014","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1080.0901"},{"key":"CIT0015","unstructured":"Jaiswal, P., Honnappa, H. and Rao, V.A. (2019) Risk-sensitive variational Bayes: formulations and bounds. arXiv e-prints. arXiv identifier: 1903.05220."},{"key":"CIT0016","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2015.1356"},{"key":"CIT0017","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008306431147"},{"key":"CIT0018","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-1384-8_8"},{"key":"CIT0019","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.06.041"},{"key":"CIT0020","doi-asserted-by":"publisher","DOI":"10.1002\/wics.57"},{"key":"CIT0021","volume-title":"Stochastic Approximation and Recursive Algorithms and Applications","volume":"35","author":"Kushner H.","year":"2003"},{"key":"CIT0022","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1090.0792"},{"key":"CIT0023","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5945-4"},{"key":"CIT0024","doi-asserted-by":"publisher","DOI":"10.1002\/nav.20358"},{"key":"CIT0025","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/7.4.308"},{"key":"CIT0026","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2017.8247964"},{"key":"CIT0027","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2017.1674"},{"key":"CIT0028","unstructured":"Rahimian, H. and Mehrotra, S. (2019) Distributionally robust optimization: A review. arXiv e-prints. arXiv identifier: 1908.05659."},{"volume-title":"Approximation Theorems of Mathematical Statistics","year":"2008","author":"Serfling R.J.","key":"CIT0029"},{"key":"CIT0030","doi-asserted-by":"crossref","unstructured":"Song, E., Nelson, B.L. and Pegden, C.D. (2014) Advanced tutorial: Input uncertainty quantification. In Proceedings of the Winter Simulation Conference 2014, IEEE Press, Savannah, GA, pp. 162\u2013176.","DOI":"10.1109\/WSC.2014.7019886"},{"volume-title":"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence","year":"2015","author":"Tamar A.","key":"CIT0031"},{"key":"CIT0032","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2019.1639859"},{"key":"CIT0033","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1110.1018"},{"key":"CIT0034","doi-asserted-by":"publisher","DOI":"10.1137\/16M1101933"},{"volume-title":"Simulation optimization under input model uncertainty. In Advances in Modeling and Simulation: Seminal Research from 50 Years of Winter Simulation Conferences","year":"2017","author":"Zhou E.","key":"CIT0035"},{"key":"CIT0036","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2015.7408529"},{"key":"CIT0037","doi-asserted-by":"publisher","DOI":"10.1145\/279232.279236"},{"key":"CIT0038","doi-asserted-by":"publisher","DOI":"10.1145\/3329117"}],"container-title":["IISE Transactions"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/24725854.2020.1869352","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T02:41:16Z","timestamp":1621996876000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/24725854.2020.1869352"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,12]]},"references-count":38,"alternative-id":["10.1080\/24725854.2020.1869352"],"URL":"https:\/\/doi.org\/10.1080\/24725854.2020.1869352","relation":{},"ISSN":["2472-5854","2472-5862"],"issn-type":[{"type":"print","value":"2472-5854"},{"type":"electronic","value":"2472-5862"}],"subject":[],"published":{"date-parts":[[2021,2,12]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uiie21","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uiie21","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-02-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-12-15","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-12-16","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-02-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}