@book{pukelsheim2006optimal,
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@article{chaloner1995bayesian,
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@book{atkinson2007optimum,
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@article{myerson,
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@article{inverse,
     jstor_articletype = {research-article},
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     jstor_formatteddate = {Mar., 1981},
     pages = {pp. 67-72},
     url = {http://www.jstor.org/stable/2690437},
     ISSN = {0025570X},
     abstract = {},
     language = {English},
     year = {1981},
     publisher = {Mathematical Association of America},
     copyright = {Copyright © 1981 Mathematical Association of America},
}

@article{cook,
     jstor_articletype = {research-article},
     title = {Influential Observations in Linear Regression},
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     volume = {74},
     number = {365},
     jstor_formatteddate = {Mar., 1979},
     pages = {pp. 169-174},
     url = {http://www.jstor.org/stable/2286747},
     ISSN = {01621459},
     language = {English},
     year = {1979},
     publisher = {American Statistical Association},
     copyright = {Copyright © 1979 American Statistical Association},
}

@article{recommendation,
  author    = {Paul D{\"u}tting and
               Monika Rauch Henzinger and
               Ingmar Weber},
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  volume    = {abs/0911.1619},
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@inproceedings{shapley,
  author    = {Vishal Misra and
               Stratis Ioannidis and
               Augustin Chaintreau and
               Laurent Massouli{\'e}},
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               approach},
  booktitle = {SIGMETRICS},
  year      = {2010},
  pages     = {215-226},
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  bibsource = {DBLP, http://dblp.uni-trier.de}
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@proceedings{DBLP:conf/sigmetrics/2010,
  editor    = {Vishal Misra and
               Paul Barford and
               Mark S. Squillante},
  title     = {SIGMETRICS 2010, Proceedings of the 2010 ACM SIGMETRICS
               International Conference on Measurement and Modeling of
               Computer Systems, New York, New York, USA, 14-18 June 2010},
  booktitle = {SIGMETRICS},
  publisher = {ACM},
  year      = 2010,
  isbn      = {978-1-4503-0038-4},
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}

@article {shapleyor,
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   title = {Strategyproof sharing of submodular costs: budget balance versus efficiency},
   journal = {Economic Theory},
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   keyword = {Business and Economics},
   pages = {511-533},
   volume = 18,
   issue = 3,
   url = {http://dx.doi.org/10.1007/PL00004200},
   year = 2001
}

@inproceedings{subsetselection11,
  author    = {Abhimanyu Das and
               David Kempe},
  title     = {Submodular meets Spectral: Greedy Algorithms for Subset
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  booktitle = {ICML},
  year      = {2011},
  pages     = {1057-1064},
  crossref  = {DBLP:conf/icml/2011},
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}

@proceedings{DBLP:conf/icml/2011,
  editor    = {Lise Getoor and
               Tobias Scheffer},
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  booktitle = {ICML},
  publisher = {Omnipress},
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@inproceedings{subsetselection08,
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               David Kempe},
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  year      = 2008,
  pages     = {45-54},
  ee        = {http://doi.acm.org/10.1145/1374376.1374384},
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}

@proceedings{DBLP:conf/stoc/2008,
  editor    = {Cynthia Dwork},
  title     = {Proceedings of the 40th Annual ACM Symposium on Theory of
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               2008},
  booktitle = {STOC},
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  year      = {2008},
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}

@article{sm,
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@article{lse,
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     jstor_issuetitle = {},
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     url = {http://www.jstor.org/stable/2284583},
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     abstract = {The probability density function of the least squares estimator of the slope coefficient in the errors in variables model is presented. It is shown how the bias and mean-square error of the least squares estimator b depend on the parameters of the model. In particular, for a given sample size, b converges to the true parameter as one of the distribution parameters increased indefinitely. The analysis is supplemented with numerical computations of the relative bias and mean-square error. The distribution function of the grouping method estimator b̄ has the same form as that of b. The biases and mean-square errors of b and b̄ are compared. For the case of zero within-group variance, the use of b̄ always reduces the magnitude of the relative bias and generally reduces the mean-square error. For large values of the within-group variance, use of b̄ may result in an increase in mean-square error.},
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     year = {1970},
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     copyright = {Copyright © 1970 American Statistical Association},
}

@article{khuller,
  author    = {Samir Khuller and
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@article{pipage,
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@article{dughmi,
  author    = {Shaddin Dughmi},
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  year      = {2009},
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@article{sviridenko-submodular,
  author    = {Maxim Sviridenko},
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}

@article{krause-submodular,
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  year={2005}
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@article{nemhauser,
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@inproceedings{singer-influence,
  author    = {Yaron Singer},
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               maximization mechanisms for social networks},
  booktitle = {WSDM},
  year      = {2012},
  pages     = {733-742},
  ee        = {http://doi.acm.org/10.1145/2124295.2124381},
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}

@proceedings{DBLP:conf/wsdm/2012,
  editor    = {Eytan Adar and
               Jaime Teevan and
               Eugene Agichtein and
               Yoelle Maarek},
  title     = {Proceedings of the Fifth International Conference on Web
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  year      = {2012},
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}

@inproceedings{singer-mechanisms,
  author    = {Yaron Singer},
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  year      = {2010},
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  ee        = {http://doi.ieeecomputersociety.org/10.1109/FOCS.2010.78},
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  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@proceedings{DBLP:conf/focs/2010,
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  year      = {2010},
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}

@inproceedings{chen,
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  year      = {2011},
  pages     = {685-699},
  ee        = {http://www.siam.org/proceedings/soda/2011/SODA11_054_chenn.pdf},
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@proceedings{DBLP:conf/soda/2011,
  editor    = {Dana Randall},
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  booktitle = {SODA},
  publisher = {SIAM},
  year      = {2011},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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@article{le1996comparison,
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@book{raiffa1968applied,
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@book{pratt1995introduction,
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@article{determinant,
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}