{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T02:49:06Z","timestamp":1783738146520,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T00:00:00Z","timestamp":1709510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"China NSF grant","award":["No. 62322206, 62132018, U2268204, 62272307, 61972254, 61972252"],"award-info":[{"award-number":["No. 62322206, 62132018, U2268204, 62272307, 61972254, 61972252"]}]},{"name":"Tencent Rhino Bird Key Research Project"},{"name":"Science and Technology Innovation 2030 ?``New Generation Artificial Intelligence' Major Project","award":["No. 2022ZD0119100"],"award-info":[{"award-number":["No. 2022ZD0119100"]}]},{"name":"Alibaba Innovative Research Program"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3,4]]},"DOI":"10.1145\/3616855.3635839","type":"proceedings-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T18:18:12Z","timestamp":1709576292000},"page":"788-796","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Cost-Effective Active Learning for Bid Exploration in Online Advertising"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8413-621X","authenticated-orcid":false,"given":"Zixiao","family":"Wang","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5094-5331","authenticated-orcid":false,"given":"Zhenzhe","family":"Zheng","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2748-8747","authenticated-orcid":false,"given":"Yanrong","family":"Kang","sequence":"additional","affiliation":[{"name":"Advertising & Marketing Service, Tencent, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4586-7950","authenticated-orcid":false,"given":"Jiani","family":"Huang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"international conference on machine learning. PMLR, 301--310","author":"Bachman Philip","year":"2017","unstructured":"Philip Bachman, Alessandro Sordoni, and Adam Trischler. 2017. Learning algorithms for active learning. In international conference on machine learning. PMLR, 301--310."},{"key":"e_1_3_2_1_2_1","volume-title":"Rolling out first price auctions to Google Ad Manager partners. Consulted at https:\/\/www.blog.google\/products\/admanager\/rolling-out-first-price-auctions-google-ad-manager-partners","author":"Bigler Jason","year":"2019","unstructured":"Jason Bigler. 2019. Rolling out first price auctions to Google Ad Manager partners. Consulted at https:\/\/www.blog.google\/products\/admanager\/rolling-out-first-price-auctions-google-ad-manager-partners (2019)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00946"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3220400203"},{"key":"e_1_3_2_1_5_1","volume-title":"A Multinomial logit framework to estimate bid shading in procurement auctions: Application to cattle sales in the Texas Panhandle. Review of industrial organization 27","author":"Crespi John M","year":"2005","unstructured":"John M Crespi and Richard J Sexton. 2005. A Multinomial logit framework to estimate bid shading in procurement auctions: Application to cattle sales in the Texas Panhandle. Review of industrial organization 27 (2005), 253--278."},{"key":"e_1_3_2_1_6_1","volume-title":"A Multinomial logit framework to estimate bid shading in procurement auctions: Application to cattle sales in the Texas Panhandle. Review of industrial organization 27","author":"Crespi John M","year":"2005","unstructured":"John M Crespi and Richard J Sexton. 2005. A Multinomial logit framework to estimate bid shading in procurement auctions: Application to cattle sales in the Texas Panhandle. Review of industrial organization 27 (2005), 253--278."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020454"},{"key":"e_1_3_2_1_8_1","volume-title":"Conference on Learning Theory. PMLR, 503--522","author":"Dasarathy Gautam","year":"2015","unstructured":"Gautam Dasarathy, Robert Nowak, and Xiaojin Zhu. 2015. S2: An efficient graph based active learning algorithm with application to nonparametric classification. In Conference on Learning Theory. PMLR, 503--522."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1080.0330"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412689"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00906"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the NIPS workshop on cost-sensitive learning","volume":"72","author":"Haertel Robbie A","year":"2008","unstructured":"Robbie A Haertel, Kevin D Seppi, Eric K Ringger, and James L Carroll. 2008. Return on investment for active learning. In Proceedings of the NIPS workshop on cost-sensitive learning, Vol. 72. Citeseer."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.20160675"},{"key":"e_1_3_2_1_14_1","volume-title":"IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence. 877--882","author":"Kapoor Ashish","year":"2007","unstructured":"Ashish Kapoor, Eric Horvitz, and Sumit Basu. 2007. Selective supervision: Guiding supervised learning with decision-theoretic active learning. In IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence. 877--882."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.23919\/ACC50511.2021.9482665"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.05.014"},{"key":"e_1_3_2_1_17_1","volume-title":"Bandit algorithms","author":"Lattimore Tor","unstructured":"Tor Lattimore and Csaba Szepesv\u00e1ri. 2020. Bandit algorithms. Cambridge University Press."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/219587.219592"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50026-X"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06608-0_37"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539048"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2648584.2648590"},{"key":"e_1_3_2_1_23_1","unstructured":"Shengjun Pan Brendan Kitts Tian Zhou Hao He Bharatbhushan Shetty Aaron Flores Djordje Gligorijevic Junwei Pan Tingyu Mao San Gultekin et al. 2020. Bid shading by win-rate estimation and surplus maximization. arXiv preprint arXiv:2009.09259 (2020)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330870"},{"key":"e_1_3_2_1_25_1","volume-title":"Int. Conf. on Machine Learning.","author":"Roy Nicholas","year":"2001","unstructured":"Nicholas Roy and Andrew McCallum. 2001. Toward optimal active learning through sampling estimation of error reduction. Int. Conf. on Machine Learning. (2001)."},{"key":"e_1_3_2_1_26_1","unstructured":"Burr Settles. 2009. Active learning literature survey. (2009)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613855"},{"key":"e_1_3_2_1_28_1","volume-title":"Multiple-instance active learning. Advances in neural information processing systems 20","author":"Settles Burr","year":"2007","unstructured":"Burr Settles, Mark Craven, and Soumya Ray. 2007. Multiple-instance active learning. Advances in neural information processing systems 20 (2007)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130417"},{"key":"e_1_3_2_1_30_1","volume-title":"A mathematical theory of communication. The Bell system technical journal 27, 3","author":"Shannon Claude Elwood","year":"1948","unstructured":"Claude Elwood Shannon. 1948. A mathematical theory of communication. The Bell system technical journal 27, 3 (1948), 379--423."},{"key":"e_1_3_2_1_31_1","volume-title":"Reinforcement learning. Adaptation, learning, and optimization 12, 3","author":"Wiering Marco A","year":"2012","unstructured":"Marco A Wiering and Martijn Van Otterlo. 2012. Reinforcement learning. Adaptation, learning, and optimization 12, 3 (2012), 729."},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2526--2535","author":"Yeh Mi-Yen","year":"2018","unstructured":"WushWu, Mi-Yen Yeh, and Ming-Syan Chen. 2018. Deep censored learning of the winning price in the real time bidding. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2526--2535."},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1305--1314","author":"Chi-Hsuan Wu Wush","year":"2015","unstructured":"Wush Chi-Hsuan Wu, Mi-Yen Yeh, and Ming-Syan Chen. 2015. Predicting winning price in real time bidding with censored data. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 1305--1314."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"e_1_3_2_1_35_1","volume-title":"International Conference on Machine Learning. PMLR, 26223--26238","author":"Zhang Jifan","year":"2022","unstructured":"Jifan Zhang, Julian Katz-Samuels, and Robert Nowak. 2022. Galaxy: Graph-based active learning at the extreme. In International Conference on Machine Learning. PMLR, 26223--26238."},{"key":"e_1_3_2_1_36_1","volume-title":"A probability analysis on the value of unlabeled data for classification problems. 17th ICML (pp. 1191--1198)","author":"Zhang T","unstructured":"T Zhang and FJ Oles. 2000. A probability analysis on the value of unlabeled data for classification problems. 17th ICML (pp. 1191--1198)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623633"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467167"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258095"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijindorg.2008.03.001"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijindorg.2008.03.001"}],"event":{"name":"WSDM '24: The 17th ACM International Conference on Web Search and Data Mining","location":"Merida Mexico","acronym":"WSDM '24","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 17th ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3616855.3635839","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3616855.3635839","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:57:02Z","timestamp":1755824222000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3616855.3635839"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,4]]},"references-count":41,"alternative-id":["10.1145\/3616855.3635839","10.1145\/3616855"],"URL":"https:\/\/doi.org\/10.1145\/3616855.3635839","relation":{},"subject":[],"published":{"date-parts":[[2024,3,4]]},"assertion":[{"value":"2024-03-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}