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Artificial Intelligence
 
Data Science
 
Algorithms

Computing a Fixed Point of Contraction Maps in Polynomial Queries - Mihalis Yannakakis (Columbia)

Archimedes_Seminar___Mihalis_Yannakakis___25_June
Dates
2025-06-25 17:00 - 18:30

Title: Computing a Fixed Point of Contraction Maps in Polynomial Queries

Speaker: Mihalis Yannakakis (Percy K. and Vida L. W. Hudson Professor of Computer Science, Columbia University, USA)

Abstract:
We give an algorithm for finding an approximate fixed point of a contraction map under the L-infinity norm in polynomial number of queries;  specifically in O( k log(1/epsilon)) queries, where k is the dimension and epsilon is the approximation error.

Joint work with Xi Chen and Yuhao Li.

Short Bio: Mihalis Yannakakis is the Percy K. and Vida L. W. Hudson Professor of Computer Science at Columbia University. Prior to joining Columbia, he was Head of the Computing Principles Research Department at Bell Labs and at Avaya Labs, and Professor of Computer Science at Stanford University. Dr. Yannakakis received his PhD from Princeton University in 1979. His research interests include algorithms, complexity, optimization, game theory, databases, testing and verification. He is a recipient of the Knuth Prize, the INFORMS John von Neumann Theory Prize, the EATCS Award, he is a member of the National Academy of Engineering, the National Academy of Sciences, the American Academy of Arts and Sciences, Academia Europaea, a Fellow of the ACM, and a Bell Labs Fellow.

 

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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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Archimedes Academic Fellow and a third-year PhD student at the National and Kapodistrian University of Athens in Greece, Andreas Lolos recently travelled to Tucson in Arizona, USA, and presented the paper "SGPMIL: Sparse Gaussian Process Multiple Instance Learning" at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026).

More news items here
 
 

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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