{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T22:51:35Z","timestamp":1754261495082,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T00:00:00Z","timestamp":1660435200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,8,14]]},"DOI":"10.1145\/3534678.3539325","type":"proceedings-article","created":{"date-parts":[[2022,8,12]],"date-time":"2022-08-12T19:06:12Z","timestamp":1660331172000},"page":"2079-2089","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Non-stationary A\/B Tests"],"prefix":"10.1145","author":[{"given":"Yuhang","family":"Wu","sequence":"first","affiliation":[{"name":"University of California, Berkeley, Berkeley, CA, USA"}]},{"given":"Zeyu","family":"Zheng","sequence":"additional","affiliation":[{"name":"University of California, Berkeley & Amazon, Berkeley, CA, USA"}]},{"given":"Guangyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, WA, USA"}]},{"given":"Zuohua","family":"Zhang","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, CA, USA"}]},{"given":"Chu","family":"Wang","sequence":"additional","affiliation":[{"name":"Amazon, Seattle, WA, USA"}]}],"member":"320","published-online":{"date-parts":[[2022,8,14]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-69033-9"},{"key":"e_1_3_2_2_2_1","volume-title":"No-harm calibration for generalized oaxaca-blinder estimators. arXiv preprint arXiv:2012.09246","author":"Cohen Peter L","year":"2020","unstructured":"Peter L Cohen and Colin B Fogarty. 2020. No-harm calibration for generalized oaxaca-blinder estimators. arXiv preprint arXiv:2012.09246 (2020)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433413"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331651.3331655"},{"key":"e_1_3_2_2_5_1","volume-title":"On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica","author":"Hahn Jinyong","year":"1998","unstructured":"Jinyong Hahn. 1998. On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica (1998), 315--331."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1214\/20-AOS1991"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097992"},{"key":"e_1_3_2_2_8_1","volume-title":"Always valid inference: Continuous monitoring of A\/B tests. Operations Research","author":"Johari Ramesh","year":"2021","unstructured":"Ramesh Johari, Pete Koomen, Leonid Pekelis, and David Walsh. 2021. Always valid inference: Continuous monitoring of A\/B tests. Operations Research (2021)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2488217"},{"key":"e_1_3_2_2_10_1","volume-title":"Online Controlled Experiments and A\/B Testing. Encyclopedia of machine learning and data mining 7, 8","author":"Kohavi Ron","year":"2017","unstructured":"Ron Kohavi and Roger Longbotham. 2017. Online Controlled Experiments and A\/B Testing. Encyclopedia of machine learning and data mining 7, 8 (2017), 922--929."},{"volume-title":"Trustworthy online controlled experiments: A practical guide to A\/B testing","author":"Kohavi Ron","key":"e_1_3_2_2_11_1","unstructured":"Ron Kohavi, Diane Tang, and Ya Xu. 2020. Trustworthy online controlled experiments: A practical guide to A\/B testing. Cambridge University Press."},{"key":"e_1_3_2_2_12_1","volume-title":"Hedibert Freitas Lopes, and Matt Gardner","author":"Taddy Matt","year":"2016","unstructured":"Matt Taddy, Hedibert Freitas Lopes, and Matt Gardner. 2016. Scalable semiparametric inference for the means of heavy-tailed distributions. arXiv preprint arXiv:1602.08066 (2016)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835810"},{"key":"e_1_3_2_2_14_1","volume-title":"The loop estimator: Adjusting for covariates in randomized experiments. Evaluation review 42, 4","author":"Wu Edward","year":"2018","unstructured":"Edward Wu and Johann A Gagnon-Bartsch. 2018. The loop estimator: Adjusting for covariates in randomized experiments. Evaluation review 42, 4 (2018), 458-- 488."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939733"}],"event":{"name":"KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Washington DC USA","acronym":"KDD '22"},"container-title":["Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3534678.3539325","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3534678.3539325","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:47Z","timestamp":1750186967000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3534678.3539325"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,14]]},"references-count":15,"alternative-id":["10.1145\/3534678.3539325","10.1145\/3534678"],"URL":"https:\/\/doi.org\/10.1145\/3534678.3539325","relation":{},"subject":[],"published":{"date-parts":[[2022,8,14]]},"assertion":[{"value":"2022-08-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}