Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/958> ?p ?o. }
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- 958 creator benjamin-moseley.
- 958 creator kevin-lang.
- 958 creator sergei-vassilvitskii.
- 958 type InProceedings.
- 958 label "Handling Forecast Errors while Bidding for Display Advertising".
- 958 sameAs 958.
- 958 abstract "Most of the online advertising today is sold via an auction, which requires the advertiser to respond with a valid bid within a fraction of a second. As such, most advertisers employ {\em bidding agents} to submit bids on their behalf. The architecture of such agents typically has (1) an offline optimization phase which incorporates the bidder's knowledge about the market and (2) an online bidding strategy which simply executes the offline strategy. The online strategy is typically highly dependent on both supply and expected price distributions, both of which are forecast using traditional machine learning methods. In this work we investigate the optimum strategy of the bidding agent when faced with incorrect forecasts. At a high level, the agent can invest resources in improving the forecasts, or can tighten the loop between successive offline optimization cycles in order to detect errors more quickly. We show analytically that the latter strategy, while simple, is extremely effective in dealing with forecast errors, and confirm this finding with experimental evaluations.".
- 958 hasAuthorList authorList.
- 958 isPartOf proceedings.
- 958 keyword "ad exchanges".
- 958 keyword "adaptive bidding".
- 958 keyword "bidding agents".
- 958 title "Handling Forecast Errors while Bidding for Display Advertising".