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An Efficient Deep Distribution Network for Bid Shading in F..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,

Zhou, Tian ; He, Hao ; Pan, Shengjun... - p. 3996-4004 , 2021

Link: https://dl.acm.org/doi/10.1145/3447548.3467167

RT 
T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3467167&Exemplar=1&LAN=DE
				
A1 Zhou, Tian
A1 He, Hao
A1 Pan, Shengjun
A1 Karlsson, Niklas
A1 Shetty, Bharatbhushan
A1 Kitts, Brendan
A1 Gligorijevic, Djordje
A1 Gultekin, San
A1 Mao, Tingyu
A1 Pan, Junwei
A1 Zhang, Jianlong
A1 Flores, Aaron
PB ACM
YR 2021
K1 bid shading
K1 display advertising
K1 distribution learning
K1 online auction
K1 real-time bidding
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Maximum likelihood estimation
K1 Information systems
K1 World Wide Web
K1 Online advertising
K1 Display advertising
K1 Web applications
K1 Electronic commerce
K1 Online auctions
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Continuous optimization
K1 Convex optimization
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Learning in probabilistic graphical models
K1 Maximum likelihood modeling
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Software and its engineering
K1 Software organization and properties
K1 Contextual software domains
K1 Software infrastructure
SP 3996
OP 4004
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467167
DO https://dl.acm.org/doi/10.1145/3447548.3467167
SF ELIB - SuUB Bremen

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