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.
This research was done in part while the authors were visiting the Simons Institute for Theoretical Computer Science. The authors are funded by the National Science Foundation under CCF grant 1420381.
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Notes
- 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.
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Goldner, K., Karlin, A.R. (2016). A Prior-Independent Revenue-Maximizing Auction for Multiple Additive Bidders. In: Cai, Y., Vetta, A. (eds) Web and Internet Economics. WINE 2016. Lecture Notes in Computer Science(), vol 10123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54110-4_12
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