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Mechanism Design with Predictions: An Annotated Reading List

Published: 08 October 2024 Publication History

Abstract

A surge of recent work has focused on analyzing the performance of algorithms guided by predictions, aiming to enhance their worst-case performance guarantees with improved guarantees when the predictions are accurate. This "learning-augmented" framework was recently also extended to mechanism design settings involving strategic agents and we provide an overview of these results.

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cover image ACM SIGecom Exchanges
ACM SIGecom Exchanges  Volume 21, Issue 1
June 2023
59 pages
EISSN:1551-9031
DOI:10.1145/3699814
Issue’s Table of Contents
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 October 2024
Published in SIGECOM Volume 21, Issue 1

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  1. beyond worst-case analysis
  2. consistency
  3. mechanism design
  4. robustness

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