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  4. Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions
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research article

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

Kocyigit, Cagil  
•
Kuhn, Daniel  
•
Rujeerapaiboon, Napat
2024
INFORMS Journal on Computing

We study a robust auction design problem with a minimax regret objective, where a seller seeks a mechanism for selling multiple items to multiple anonymous bidders with additive values. The seller knows that the bidders' values range over a box uncertainty set but has no information about their probability distribution. This auction design problem can be viewed as a zero-sum game between the seller, who chooses a mechanism, and a fictitious adversary or `nature,' who chooses the bidders' values from within the uncertainty set with the aim to maximize the seller's regret. We characterize the Nash equilibrium of this game analytically. The Nash strategy of the seller is a mechanism that sells each item via a separate auction akin to a second price auction with a random reserve price. The Nash strategy of nature is mixed and constitutes a probability distribution on the uncertainty set under which each bidder's values for the items are comonotonic.

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Type
research article
DOI
10.1287/ijoc.2022.0275
Author(s)
Kocyigit, Cagil  
Kuhn, Daniel  
Rujeerapaiboon, Napat
Date Issued

2024

Published in
INFORMS Journal on Computing
Subjects

Auction

•

Mechanism design

•

Robust optimization

Note

Available from Optimization Online

URL

View record in Optimization Online

http://www.optimization-online.org/DB_HTML/2020/06/7863.html
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
RAO  
Available on Infoscience
June 30, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/169707
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