
greece
Algorithms
Data Science
Artificial Intelligence
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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To position Greece as a leading player in AI and Data Science


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).
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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