Online learning in repeated auctions

Preprint English OPEN
Perchet, Vianney; Rigollet, Philippe; Weed, John;
(2015)
  • Publisher: HAL CCSD
  • Subject: Statistics - Machine Learning | [INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT] | Computer Science - Computer Science and Game Theory | Primary 62L05, secondary 62C20 | Computer Science - Learning
    acm: TheoryofComputation_GENERAL
    arxiv: Computer Science::Computer Science and Game Theory
Motivated by online advertising auctions, we consider repeated Vickrey auctions where goods of unknown value are sold sequentially and bidders only learn (potentially noisy) information about a good's value once it is purchased. We adopt an online learning approach with... View more
  • References (42)
    42 references, page 1 of 5

    [ACBF02] Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer, Finite-time analysis of the multiarmed bandit problem, Mach. Learn. 47 (2002), no. 2-3, 235{256.

    [ACBFS03] Peter Auer, Nicolo Cesa-Bianchi, Yoav Freund, and Robert E. Schapire, The nonstochastic multiarmed bandit problem, SIAM J. Comput. 32 (2002/03), no. 1, 48{77 (electronic). MR1954855 (2003k:91031)

    [ACD+15] Kareem Amin, Rachel Cummings, Lili Dworkin, Michael Kearns, and Aaron Roth, Online learning and pro t maximization from revealed preferences, Proceedings of the Twenty-Ninth AAAI Conference on Arti cial Intelligence, January 25-30, 2015, Austin, Texas, USA., 2015, pp. 770{776.

    [ARS14] Kareem Amin, Afshin Rostamizadeh, and Umar Syed, Repeated contextual auctions with strategic buyers, Advances in Neural Information Processing Systems 27 (Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence, and K.Q. Weinberger, eds.), Curran Associates, Inc., 2014, pp. 622{630.

    [BCB12] Sebastien Bubeck and Nicolo Cesa-Bianchi, Regret analysis of stochastic and nonstochastic multi-armed bandit problems, Foundations and Trends in Machine Learning 5 (2012), no. 1, 1{122.

    [BKS10] Moshe Babaio , Robert D. Kleinberg, and Aleksandrs Slivkins, Truthful mechanisms with implicit payment computation, Proceedings of the 11th ACM Conference on Electronic Commerce (New York, NY, USA), EC '10, ACM, 2010, pp. 43{52.

    [BFP+14] Gabor Bartok, Dean P. Foster, David Pal, Alexander Rakhlin, and Csaba Szepesvari, Partial monitoring|classi cation, regret bounds, and algorithms, Math. Oper. Res. 39 (2014), no. 4, 967{997. MR3279754

    [BMM15] Avrim Blum, Yishay Mansour, and Jamie Morgenstern, Learning valuation distributions from partial observation, Proceedings of the Twenty-Ninth AAAI Conference on Arti cial Intelligence, January 25-30, 2015, Austin, Texas, USA., 2015, pp. 798{804.

    [BPR13] Sebastien Bubeck, Vianney Perchet, and Philippe Rigollet, Bounded regret in stochastic multi-armed bandits, COLT 2013 - The 26th Conference on Learning Theory, Princeton, NJ, June 12-14, 2013 (Shai Shalev-Shwartz and Ingo Steinwart, eds.), JMLR W&CP, vol. 30, 2013, pp. 122{134.

    [BSS09] Moshe Babaio , Yogeshwer Sharma, and Aleksandrs Slivkins, Characterizing truthful multi-armed bandit mechanisms: Extended abstract, Proceedings of the 10th ACM Conference on Electronic Commerce (New York, NY, USA), EC '09, ACM, 2009, pp. 79{88.

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