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Volumn , Issue , 2009, Pages 1794-1802

Online learning of assignments

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; E-LEARNING;

EID: 79957966922     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (61)

References (20)
  • 1
    • 58849157872 scopus 로고    scopus 로고
    • Sponsored search auctions with Markovian users
    • Gagan Aggarwal, Jon Feldman, S. Muthukrishnan, and Martin Pál. Sponsored search auctions with markovian users. In WINE, pages 621-628, 2008.
    • (2008) WINE , pp. 621-628
    • Aggarwal, G.1    Feldman, J.2    Muthukrishnan, S.3    Pál, M.4
  • 6
    • 35448949581 scopus 로고    scopus 로고
    • Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords
    • Benjamin Edelman, Michael Ostrovsky, and Michael Schwarz. Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords. American Economic Review, 97(1):242-259, 2007.
    • (2007) American Economic Review , vol.97 , Issue.1 , pp. 242-259
    • Edelman, B.1    Ostrovsky, M.2    Schwarz, M.3
  • 7
    • 84858735134 scopus 로고    scopus 로고
    • Algorithmic methods for sponsored search advertising
    • Zhen Liu and Cathy H. Xia, editors
    • Jon Feldman and S. Muthukrishnan. Algorithmic methods for sponsored search advertising. In Zhen Liu and Cathy H. Xia, editors, Performance Modeling and Engineering. 2008.
    • (2008) Performance Modeling and Engineering
    • Feldman, J.1    Muthukrishnan, S.2
  • 8
    • 0012523178 scopus 로고
    • An analysis of approximations for maximizing submodular set functions - Ii
    • Marshall L. Fisher, George L. Nemhauser, and Laurence A. Wolsey. An analysis of approximations for maximizing submodular set functions - II. Mathematical Programming Study, (8):73-87, 1978.
    • (1978) Mathematical Programming Study , Issue.8 , pp. 73-87
    • Fisher, M.L.1    Nemhauser, G.L.2    Wolsey, L.A.3
  • 9
    • 84858716296 scopus 로고    scopus 로고
    • Online learning of assignments that maximize submodular functions
    • abs/0908.0772
    • Daniel Golovin, Andreas Krause, and Matthew Streeter. Online learning of assignments that maximize submodular functions. CoRR, abs/0908.0772, 2009.
    • (2009) CoRR
    • Golovin, D.1    Krause, A.2    Streeter, M.3
  • 10
    • 35448983517 scopus 로고    scopus 로고
    • Playing games with approximation algorithms
    • Sham M. Kakade, Adam Tauman Kalai, and Katrina Ligett. Playing games with approximation algorithms. In STOC, pages 546-555, 2007.
    • (2007) STOC , pp. 546-555
    • Kakade, S.M.1    Kalai, A.T.2    Ligett, K.3
  • 11
    • 84858740512 scopus 로고    scopus 로고
    • Beyond convexity: Submodularity in machine learning
    • Andreas Krause and Carlos Guestrin. Beyond convexity: Submodularity in machine learning. Tutorial at ICML 2008. http://www.select.cs.cmu.edu/tutorials/ icml08submodularity.html.
    • (2008) Tutorial at ICML
    • Krause, A.1    Guestrin, C.2
  • 12
    • 84926096782 scopus 로고    scopus 로고
    • Sponsored search auctions
    • Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay V. Vazirani, editors Cambridge University Press, New York, NY, USA
    • Sébastien Lahaie, David M. Pennock, Amin Saberi, and Rakesh V. Vohra. Sponsored search auctions. In Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay V. Vazirani, editors, Algorithmic Game Theory. Cambridge University Press, New York, NY, USA, 2007.
    • (2007) Algorithmic Game Theory
    • Lahaie, S.1    Pennock, D.M.2    Saberi, A.3    Vohra, R.V.4
  • 14
    • 70350654681 scopus 로고    scopus 로고
    • Tight information-theoretic lower bounds for welfare maximization in combinatorial auctions
    • Vahab Mirrokni, Michael Schapira, and Jan Vondrák. Tight information-theoretic lower bounds for welfare maximization in combinatorial auctions. In EC, pages 70-77, 2008.
    • (2008) EC , pp. 70-77
    • Mirrokni, V.1    Schapira, M.2    Vondrák, J.3
  • 15
    • 0000095809 scopus 로고
    • An analysis of approximations for maximizing submodular set functions - I
    • George L. Nemhauser, Laurence A. Wolsey, and Marshall L. Fisher. An analysis of approximations for maximizing submodular set functions - I. Mathematical Programming, 14(1):265-294, 1978.
    • (1978) Mathematical Programming , vol.14 , Issue.1 , pp. 265-294
    • Nemhauser, G.L.1    Wolsey, L.A.2    Fisher, M.L.3
  • 16
    • 56449088596 scopus 로고    scopus 로고
    • Learning diverse rankings with multi-armed bandits
    • Filip Radlinski, Robert Kleinberg, and Thorsten Joachims. Learning diverse rankings with multi-armed bandits. In ICML, pages 784-791, 2008.
    • (2008) ICML , pp. 784-791
    • Radlinski, F.1    Kleinberg, R.2    Joachims, T.3
  • 18
    • 84858777403 scopus 로고    scopus 로고
    • An online algorithm for maximizing submodular functions
    • Matthew Streeter and Daniel Golovin. An online algorithm for maximizing submodular functions. In NIPS, pages 1577-1584, 2008.
    • (2008) NIPS , pp. 1577-1584
    • Streeter, M.1    Golovin, D.2
  • 20
    • 57049187237 scopus 로고    scopus 로고
    • Optimal approximation for the submodular welfare problem in the value oracle model
    • Jan Vondrák. Optimal approximation for the submodular welfare problem in the value oracle model. In STOC, pages 67-74, 2008.
    • (2008) STOC , pp. 67-74
    • Vondrák, J.1


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