Journal article
Mechanism Design with Predictions: An Annotated Reading List
SIGecom exchanges, v 21(1), pp 54-57
01 Jun 2023
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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Details
- Title
- Mechanism Design with Predictions: An Annotated Reading List
- Creators
- Eric Balkanski - Columbia UniversityVasilis Gkatzelis - Drexel UniversityXizhi Tan - Drexel University
- Publication Details
- SIGecom exchanges, v 21(1), pp 54-57
- Publisher
- Assoc Computing Machinery
- Number of pages
- 4
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:001207037100009
- Other Identifier
- 991021879760404721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications