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Artificial Intelligence
 
Data Science
 
Algorithms

The Communication Complexity of Combinatorial Auctions in Graphs - Elias Koutsoupias (University of Oxford, UK)

Archimedes_Talk__Prof._Elias_Koutsoupias_11September
Dates
2025-09-11 11:00 - 12:30
Venue
Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece)

Title: The Communication Complexity of Combinatorial Auctions in Graphs

Speaker: Professor Elias Koutsoupias (University of Oxford, UK)

Abstract: This talk is about truthful and non-truthful protocols for combinatorial auctions in which every item can be allocated to one of two agents (multigraphs), or more generally to a fixed number of agents (hypergraphs). We will discuss some recent results for the communication complexity of approximating the optimal social welfare for general monotone, subadditive, or XOS valuations.

Short Biography: Elias Koutsoupias is a professor of computer science at the University of Oxford. His research interests include algorithmic aspects of game theory, economics and networks, online algorithms, decision-making under uncertainty, design and analysis of algorithms, computational complexity. He received the Gödel Prize of theoretical computer science in 2012 for his work on the price of anarchy. He is also the recipient of the ERC Advanced Grant “Algorithms, Games, Mechanisms, and the Price of Anarchy”.  He previously held faculty positions at the University of California, Los Angeles (UCLA) and the University of Athens. He studied at the National Technical University of Athens (B.S. in electrical engineering) and the University of California, San Diego (Ph.D. in computer science).

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Meeting ID: 316 212 272 822 7

Passcode: XE9tk3Tg

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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).

 
 

NEWS

 
Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).

Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026

Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026

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).

6 Accepted Papers at ICLR 2026

6 Accepted Papers at ICLR 2026

The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations.  Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.

 
 

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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