{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T22:40:12Z","timestamp":1752532812377,"version":"3.41.2"},"reference-count":7,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T00:00:00Z","timestamp":1642377600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGMETRICS Perform. Eval. Rev."],"published-print":{"date-parts":[[2022,1,17]]},"DOI":"10.1145\/3512798.3512813","type":"journal-article","created":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T13:13:23Z","timestamp":1642684403000},"page":"39-41","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Unbiased Gradient Estimation for Robust Optimization"],"prefix":"10.1145","volume":"49","author":[{"given":"Soumyadip","family":"Ghosh","sequence":"first","affiliation":[{"name":"Mathematical Sciences, IBM Research Thomas J. Watson Research Center, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark S.","family":"Squillante","sequence":"additional","affiliation":[{"name":"Mathematical Sciences, IBM Research Thomas J. Watson Research Center, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,20]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"ArXiv","author":"Blanchet J.","year":"2016","unstructured":"J. Blanchet, Y. Kang, K. Murthy. Robust Wasserstein profile inference and applications to machine learning. ArXiv, 2016."},{"key":"e_1_2_1_2_1","volume-title":"WSC","author":"Blanchet J. H.","year":"2015","unstructured":"J. H. Blanchet, P. W. Glynn. Unbiased Monte Carlo for optimization and functions of expectations via multi-level randomization. WSC, 2015."},{"key":"e_1_2_1_3_1","author":"Bottou L.","year":"2016","unstructured":"L. Bottou, F. E. Curtis, J. Nocedal. Optimization methods for large-scale machine learning. ArXiv, 2016.","journal-title":"J. Nocedal. Optimization methods for large-scale machine learning. ArXiv"},{"key":"e_1_2_1_4_1","volume-title":"ArXiv","author":"Ghosh S.","year":"2020","unstructured":"S. Ghosh, M. Squillante. Unbiased gradient estimation for distributionally robust learning. ArXiv, 2020."},{"key":"e_1_2_1_5_1","volume-title":"ArXiv","author":"Ghosh S.","year":"2020","unstructured":"S. Ghosh, M. Squillante, E. Wollega. Efficient stochastic gradient descent for distributionally robust learning. ArXiv, 2020."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1070.0496"},{"key":"e_1_2_1_7_1","volume-title":"NeurIPS","author":"Namkoong H.","year":"2017","unstructured":"H. Namkoong, J. C. Duchi. Variance-based regularization with convex objectives. NeurIPS, 2017."}],"container-title":["ACM SIGMETRICS Performance Evaluation Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512798.3512813","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3512798.3512813","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T22:26:44Z","timestamp":1752532004000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3512798.3512813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,17]]},"references-count":7,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,1,17]]}},"alternative-id":["10.1145\/3512798.3512813"],"URL":"https:\/\/doi.org\/10.1145\/3512798.3512813","relation":{},"ISSN":["0163-5999"],"issn-type":[{"type":"print","value":"0163-5999"}],"subject":[],"published":{"date-parts":[[2022,1,17]]},"assertion":[{"value":"2022-01-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}