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Auctions for Heterogeneous Items and Budget Limits

Published: 02 December 2015 Publication History

Abstract

We study individual rational, Pareto-optimal, and incentive compatible mechanisms for auctions with heterogeneous items and budget limits. We consider settings with multiunit demand and additive valuations. For single-dimensional valuations we prove a positive result for randomized mechanisms, and a negative result for deterministic mechanisms. While the positive result allows for private budgets, the negative result is for public budgets. For multidimensional valuations and public budgets we prove an impossibility result that applies to deterministic and randomized mechanisms. Taken together this shows the power of randomization in certain settings with heterogeneous items, but it also shows its limitations.

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  • (2023)Polyhedral Clinching Auctions for Indivisible GoodsWeb and Internet Economics10.1007/978-3-031-48974-7_21(366-383)Online publication date: 31-Dec-2023
  • (2018)Deep Learning for Revenue-Optimal Auctions with BudgetsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237439(354-362)Online publication date: 9-Jul-2018
  • (2018)Auction Mechanisms for Virtualization in 5G Cellular Networks: Basics, Trends, and Open ChallengesIEEE Communications Surveys & Tutorials10.1109/COMST.2018.281139520:3(2264-2293)Online publication date: Nov-2019
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    cover image ACM Transactions on Economics and Computation
    ACM Transactions on Economics and Computation  Volume 4, Issue 1
    December 2015
    169 pages
    ISSN:2167-8375
    EISSN:2167-8383
    DOI:10.1145/2852252
    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 the author(s) 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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 02 December 2015
    Accepted: 01 May 2015
    Revised: 01 October 2014
    Received: 01 March 2013
    Published in TEAC Volume 4, Issue 1

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    Author Tags

    1. Algorithmic game theory
    2. Pareto optimality
    3. auction theory
    4. budget limits
    5. clinching auction

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    Cited By

    View all
    • (2023)Polyhedral Clinching Auctions for Indivisible GoodsWeb and Internet Economics10.1007/978-3-031-48974-7_21(366-383)Online publication date: 31-Dec-2023
    • (2018)Deep Learning for Revenue-Optimal Auctions with BudgetsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237439(354-362)Online publication date: 9-Jul-2018
    • (2018)Auction Mechanisms for Virtualization in 5G Cellular Networks: Basics, Trends, and Open ChallengesIEEE Communications Surveys & Tutorials10.1109/COMST.2018.281139520:3(2264-2293)Online publication date: Nov-2019
    • (2018)Truthfulness in advertising? Approximation mechanisms for knapsack biddersEuropean Journal of Operational Research10.1016/j.ejor.2018.04.001270:2(775-783)Online publication date: Oct-2018

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