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2016 | OriginalPaper | Buchkapitel

A Prior-Independent Revenue-Maximizing Auction for Multiple Additive Bidders

verfasst von : Kira Goldner, Anna R. Karlin

Erschienen in: Web and Internet Economics

Verlag: Springer Berlin Heidelberg

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Abstract

Recent work by Babaioff et al. [1], Yao [30], and Cai et al. [7] shows how to construct an approximately optimal auction for additive bidders, given access to the priors from which the bidders’ values are drawn. In this paper, building on the single sample approach of Dhangwatnotai et al. [15], we show how the auctioneer can obtain approximately optimal expected revenue in this setting without knowing the priors, as long as the item distributions are regular.

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Fußnoten
1
Thus, from the seller’s perspective this value is a random variable \(V_{ij}\).
 
2
i.e., revenue-maximizing, in expectation.
 
3
This is a reinterpretation of the Bulow-Klemperer Theorem [2].
 
4
This guarantees that each item is taken by at most one bidder.
 
Literatur
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Metadaten
Titel
A Prior-Independent Revenue-Maximizing Auction for Multiple Additive Bidders
verfasst von
Kira Goldner
Anna R. Karlin
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-54110-4_12