advertiser
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Online Ad Procurement in Non-stationary Autobidding Worlds
Today's online advertisers procure digital ad impressions through interacting with
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Learning Mean-Field Games
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
Neural Information Processing Systems http://nips.cc/
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Online Ad Allocation with Predictions
Fabian Spaeh, Department of Computer Science, Boston University, fspaeh@bu.edu, "3026 Alina Ene, Department of Computer Science, Boston University, aene@bu.edu
Display Ads and the generalized assignment problem are two well-studied online packing problems with important applications in ad allocation and other areas.
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Prior-independentDynamicAuctionsfora Value-maximizing Buyer
Automatic bidding has become one of the main options for advertisers to buy advertisement opportunities intheonline advertising market[Dolan, 2020]. Theprevalence ofautomatic bidding is partly driven by the fact that it significantly simplifies the interaction between the advertisers and theadvertisingplatform.
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0ee633a6ade45eab4276352b3ee79c7a-Paper-Conference.pdf
A fundamental difference between our learning problem from standard RL problems is that the realized reward feedback from conversion incrementality ismixed and delayed.