We consider the Offline Ad Slot Scheduling problem, where advertisers must be scheduled to sponsored search slots during a given period of time. Advertisers specify a budget constr...
Jon Feldman, S. Muthukrishnan, Evdokia Nikolova, M...
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
Many advertisers (bidders) use Internet systems to buy advertisements on publishers' webpages or on traditional media such as radio, TV and newsprint. They seek a simple, onl...
Florin Constantin, Jon Feldman, S. Muthukrishnan, ...
The existing literature on optimal auctions focuses on optimizing the expected revenue of the seller, and is appropriate for risk-neutral sellers. In this paper, we identify good ...
ABSTRACT: We examine an environment where goods and privately informed buyers arrive stochastically to a market. A seller in this setting faces a sequential allocation problem with...