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1
Incentive-Aware Learning for Large Markets:
, In:
Proceedings of the 2018 World Wide Web Conference
,
Epasto, Alessandro
;
Mahdian, Mohammad
;
Mirrokni, Vahab
. - p. 1369-1378 , 2018
Link:
https://dl.acm.org/doi/10.1145/3178876.3186042
RT T1 <cTitle>Proceedings of the 2018 World Wide Web Conference</cTitle>: T1 <Title>Incentive-Aware Learning for Large Markets</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3186042&Exemplar=1&LAN=DE A1 Epasto, Alessandro A1 Mahdian, Mohammad A1 Mirrokni, Vahab A1 Zuo, Song PB International World Wide Web Conferences Steering Committee YR 2018 K1 ad auctions K1 incentive-aware learning K1 large markets K1 learning with strategic agents K1 Theory of computation K1 Theory and algorithms for application domains K1 Algorithmic game theory and mechanism design K1 Machine learning theory K1 Models of learning K1 Convergence and learning in games K1 Computational advertising theory K1 Multi-agent learning SP 1369 OP 1378 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3178876.3186042 DO https://dl.acm.org/doi/10.1145/3178876.3186042 SF ELIB - SuUB Bremen
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