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Limitations of Deterministic Auction Design for Correlated Bidders

Published: 29 June 2016 Publication History

Abstract

The seminal work of Myerson (Mathematics of OR ’81) characterizes incentive-compatible single-item auctions among bidders with independent valuations. In this setting, relatively simple deterministic auction mechanisms achieve revenue optimality. When bidders have correlated valuations, designing the revenue-optimal deterministic auction is a computationally demanding problem; indeed, Papadimitriou and Pierrakos (STOC ’11) proved that it is APX-hard, obtaining an explicit inapproximability factor of 1999/2000 = 99.95%. In the current article, we strengthen this inapproximability factor to 63/64 ≈ 98.5%. Our proof is based on a gap-preserving reduction from the Max-NM 3SAT problem; a variant of the maximum satisfiability problem where each clause has exactly three literals and no clause contains both negated and unnegated literals. We furthermore show that the gap between the revenue of deterministic and randomized auctions can be as low as 13/14 ≈ 92.9%, improving an explicit gap of 947/948 ≈ 99.9% by Dobzinski, Fu, and Kleinberg (STOC ’11).

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  • (2022)Multi-agent systems for computational economics and financeAI Communications10.3233/AIC-22011735:4(369-380)Online publication date: 1-Jan-2022
  • (2018)On the Complexity of Optimal Correlated Auctions and Reverse AuctionsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237474(605-613)Online publication date: 9-Jul-2018
  • (2018)The value of information concealmentProceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms10.5555/3174304.3175467(2533-2544)Online publication date: 7-Jan-2018
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      cover image ACM Transactions on Computation Theory
      ACM Transactions on Computation Theory  Volume 8, Issue 4
      July 2016
      97 pages
      ISSN:1942-3454
      EISSN:1942-3462
      DOI:10.1145/2956681
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 29 June 2016
      Accepted: 01 March 2016
      Revised: 01 August 2015
      Received: 01 March 2014
      Published in TOCT Volume 8, Issue 4

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      Author Tags

      1. Optimal auction design
      2. correlated valuations
      3. deterministic auctions

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      • University of Patras
      • European Social Fund and Greek national funds through the research funding program Thales on “Algorithmic Game Theory,” by ”Caratheodory“ research
      • ERC Advanced

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      Cited By

      View all
      • (2022)Multi-agent systems for computational economics and financeAI Communications10.3233/AIC-22011735:4(369-380)Online publication date: 1-Jan-2022
      • (2018)On the Complexity of Optimal Correlated Auctions and Reverse AuctionsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237474(605-613)Online publication date: 9-Jul-2018
      • (2018)The value of information concealmentProceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms10.5555/3174304.3175467(2533-2544)Online publication date: 7-Jan-2018
      • (2018)Revenue Loss in Shrinking MarketsProceedings of the 2018 ACM Conference on Economics and Computation10.1145/3219166.3219196(431-442)Online publication date: 11-Jun-2018

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