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[Archimedes Talk Series] Cardinal-Utility Matching Markets: From Tractability to Intractability ... and Back!

Dates
2024-06-25 14:30 - 16:00
Venue
Artemidos 1 - Amphitheater

 

 

 Title: Cardinal-Utility Matching Markets: From Tractability to Intractability ... and Back!


Presenter: Vijay Vazirani – Distinguished Professor, UC Irvine

Screenshot 2024 06 25 at 230pm
Abstract: For a mechanism to be highly impactful, it must have both good game-theoretic properties and computational efficiency. A poster child in this respect is the Gale-Shapley work (1962) on stable matching. This talk concerns cardinal-utility matching markets, for which the most prominent mechanism was due to Hylland and Zeckhauser (1979); this pricing-based mechanism has all the game-theoretic properties one could ask for. However, recent work has established it to be computationally intractable in theory and practice.

This talk will summarize several papers which:
a. Established intractability.
b. Proposed a replacement mechanism based on Nash bargaining.
c. Established its game-theoretic and computational properties and gave evidence that there may not be a better alternative.

Based on these (1, 2, 3, 4, 5) and other papers.

Bio: Vijay Vazirani is Distinguished Professor at the University of California, Irvine. A description of his research appears in the citation of his 2022 INFORMS John von Neumann Theory Prize. Recently he completed a proof of the Micali-Vazirani maximum matching algorithm, over four decades after the publication of the algorithm itself. His most recent book (co-edited), Online and Matching-Based Market Design, appeared in July 2023.


 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

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The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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