{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T22:43:47Z","timestamp":1753051427120,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"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":[[2021,4,19]]},"DOI":"10.1145\/3442381.3449968","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:37:45Z","timestamp":1622749065000},"page":"3953-3964","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Bid Prediction in Repeated Auctions with Learning"],"prefix":"10.1145","author":[{"given":"Gali","family":"Noti","sequence":"first","affiliation":[{"name":"Harvard University and the Hebrew University of Jerusalem, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasilis","family":"Syrgkanis","sequence":"additional","affiliation":[{"name":"Microsoft Research, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34106-9_24"},{"volume-title":"Web and Internet Economics","author":"Alaei Saeed","key":"e_1_3_2_1_2_1","unstructured":"Saeed Alaei , Ashwinkumar Badanidiyuru , Mohammad Mahdian , and Sadra Yazdanbod . 2019. Response Prediction for Low-Regret Agents . In Web and Internet Economics , Ioannis Caragiannis, Vahab Mirrokni, and Evdokia Nikolova(Eds.). Springer International Publishing , Cham , 31\u201344. Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, and Sadra Yazdanbod. 2019. Response Prediction for Low-Regret Agents. In Web and Internet Economics, Ioannis Caragiannis, Vahab Mirrokni, and Evdokia Nikolova(Eds.). Springer International Publishing, Cham, 31\u201344."},{"key":"e_1_3_2_1_3_1","unstructured":"Susan Athey and Denis Nekipelov. 2010. A structural model of sponsored search advertising auctions. In Sixth ad auctions workshop Vol.\u00a015. Susan Athey and Denis Nekipelov. 2010. A structural model of sponsored search advertising auctions. In Sixth ad auctions workshop Vol.\u00a015."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290969"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1976.10480949"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219166.3219233"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jet.2014.04.010"},{"key":"e_1_3_2_1_8_1","volume-title":"Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American economic review 97, 1","author":"Edelman Benjamin","year":"2007","unstructured":"Benjamin Edelman , Michael Ostrovsky , and Michael Schwarz . 2007. Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American economic review 97, 1 ( 2007 ), 242\u2013259. Benjamin Edelman, Michael Ostrovsky, and Michael Schwarz. 2007. Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American economic review 97, 1 (2007), 242\u2013259."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1400987111"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5016-8"},{"volume-title":"Proceedings of the 26th Annual International Conference on Machine Learning (Montreal","author":"Hazan Elad","key":"e_1_3_2_1_11_1","unstructured":"Elad Hazan and C. Seshadhri . 2009. Efficient Learning Algorithms for Changing Environments . In Proceedings of the 26th Annual International Conference on Machine Learning (Montreal , Quebec, Canada) (ICML\u201909). Association for Computing Machinery, New York, NY, USA, 393\u2013400. https:\/\/doi.org\/10.1145\/1553374.1553425 Elad Hazan and C. Seshadhri. 2009. Efficient Learning Algorithms for Changing Environments. In Proceedings of the 26th Annual International Conference on Machine Learning (Montreal, Quebec, Canada) (ICML\u201909). Association for Computing Machinery, New York, NY, USA, 393\u2013400. https:\/\/doi.org\/10.1145\/1553374.1553425"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2014.2018"},{"key":"e_1_3_2_1_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0 P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014). Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/56"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/qje\/qjv023"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187886"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1080\/00031305.1978.10479236","article-title":"Variations of box plots","volume":"32","author":"McGill Robert","year":"1978","unstructured":"Robert McGill , John\u00a0 W Tukey , and Wayne\u00a0 A Larsen . 1978 . Variations of box plots . The American Statistician 32 , 1 (1978), 12 \u2013 16 . Robert McGill, John\u00a0W Tukey, and Wayne\u00a0A Larsen. 1978. Variations of box plots. The American Statistician 32, 1 (1978), 12\u201316.","journal-title":"The American Statistician"},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"Learning Algorithms for Second-Price Auctions with Reserve","volume":"17","author":"Mohri Mehryar","year":"2016","unstructured":"Mehryar Mohri and Andr\u00e9s Mu\u00f1oz Medina . 2016 . Learning Algorithms for Second-Price Auctions with Reserve . J. Mach. Learn. Res. 17 , 1 (Jan. 2016), 2632\u20132656. Mehryar Mohri and Andr\u00e9s Mu\u00f1oz Medina. 2016. Learning Algorithms for Second-Price Auctions with Reserve. J. Mach. Learn. Res. 17, 1 (Jan. 2016), 2632\u20132656.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2764468.2764522"},{"volume-title":"Proceedings of the Seventeenth International Conference on Machine Learning(ICML\u201900)","author":"Y.","key":"e_1_3_2_1_20_1","unstructured":"Andrew\u00a0 Y. Ng and Stuart\u00a0J. Russell. 2000. Algorithms for Inverse Reinforcement Learning . In Proceedings of the Seventeenth International Conference on Machine Learning(ICML\u201900) . Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 663\u2013670. Andrew\u00a0Y. Ng and Stuart\u00a0J. Russell. 2000. Algorithms for Inverse Reinforcement Learning. In Proceedings of the Seventeenth International Conference on Machine Learning(ICML\u201900). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 663\u2013670."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052621"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3033274.3085111"},{"key":"e_1_3_2_1_23_1","volume-title":"An introduction to the structural econometrics of auction data","author":"Paarsch J","year":"2006","unstructured":"Harry\u00a0 J Paarsch , Han Hong , 2006. An introduction to the structural econometrics of auction data . MIT Press Books 1( 2006 ). Harry\u00a0J Paarsch, Han Hong, 2006. An introduction to the structural econometrics of auction data. MIT Press Books 1(2006)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3233\/978-1-61499-672-9-515"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279964"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000018"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems -","volume":"2","author":"Syrgkanis Vasilis","year":"2015","unstructured":"Vasilis Syrgkanis , Alekh Agarwal , Haipeng Luo , and Robert\u00a0 E. Schapire . 2015 . Fast Convergence of Regularized Learning in Games . In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS\u201915). MIT Press, Cambridge, MA, USA, 2989\u20132997. Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo, and Robert\u00a0E. Schapire. 2015. Fast Convergence of Regularized Learning in Games. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS\u201915). MIT Press, Cambridge, MA, USA, 2989\u20132997."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2017.1380080"},{"key":"e_1_3_2_1_30_1","volume-title":"Asymptotic and finite-sample properties of estimators based on stochastic gradients. Ann. Statist. 45, 4 (08","author":"Toulis Panos","year":"2017","unstructured":"Panos Toulis and Edoardo\u00a0 M. Airoldi . 2017. Asymptotic and finite-sample properties of estimators based on stochastic gradients. Ann. Statist. 45, 4 (08 2017 ), 1694\u20131727. https:\/\/doi.org\/10.1214\/16-AOS1506 Panos Toulis and Edoardo\u00a0M. Airoldi. 2017. Asymptotic and finite-sample properties of estimators based on stochastic gradients. Ann. Statist. 45, 4 (08 2017), 1694\u20131727. https:\/\/doi.org\/10.1214\/16-AOS1506"},{"key":"e_1_3_2_1_31_1","volume-title":"Multi-Agent Adversarial Inverse Reinforcement Learning. In International Conference on Machine Learning. 7194\u20137201","author":"Yu Lantao","year":"2019","unstructured":"Lantao Yu , Jiaming Song , and Stefano Ermon . 2019 . Multi-Agent Adversarial Inverse Reinforcement Learning. In International Conference on Machine Learning. 7194\u20137201 . Lantao Yu, Jiaming Song, and Stefano Ermon. 2019. Multi-Agent Adversarial Inverse Reinforcement Learning. In International Conference on Machine Learning. 7194\u20137201."},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 20th international conference on machine learning (icml-03)","author":"Zinkevich Martin","year":"2003","unstructured":"Martin Zinkevich . 2003 . Online convex programming and generalized infinitesimal gradient ascent . In Proceedings of the 20th international conference on machine learning (icml-03) . 928\u2013936. Martin Zinkevich. 2003. Online convex programming and generalized infinitesimal gradient ascent. In Proceedings of the 20th international conference on machine learning (icml-03). 928\u2013936."}],"event":{"name":"WWW '21: The Web Conference 2021","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Ljubljana Slovenia","acronym":"WWW '21"},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449968","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3449968","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:44Z","timestamp":1750195484000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449968"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":32,"alternative-id":["10.1145\/3442381.3449968","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3449968","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}