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Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] A Multi-Dimensional Online Contention Resolution Scheme for Revenue Maximization

Dates
2024-07-11 16:00 - 17:00
Venue
Artemidos 1 - Amphitheater

Title: A Multi-Dimensional Online Contention Resolution Scheme for Revenue Maximization 

Speaker: Dimitris Christou, PhD Student at UT Austin 



Abstract: We study multi-buyer multi-item sequential item pricing mechanisms for online revenue maximization with the goal of approximating a natural fractional relaxation – the ex ante optimal revenue. We assume that buyers’ values are subadditive but make no assumptions on the value distributions. While the optimal revenue, and therefore also the ex ante benchmark, is inapproximable by any simple mechanism in this context, previous work has shown that a weaker benchmark that optimizes over so-called “buy-many” mechanisms can be approximated. Approximations are known, in particular, for settings with either a single buyer or many unit-demand buyers. We extend these results to the much broader setting of many subadditive buyers. We show that the ex ante buy-many revenue can be approximated via sequential item pricings to within an $O(log^2 m)$ factor, where m is the number of items. We also show that a logarithmic dependence on m is necessary. Our approximation is achieved through the construction of a new multi-dimensional Online Contention Resolution Scheme (OCRS), that provides an online rounding of the optimal ex ante solution.  


Bio:
Dimitris Christou is a 3rd year Computer Science PhD student at UT Austin. He is fortunate to be advised by Prof. Shuchi Chawla. Prior to joining UT Austin, he received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, supervised by Prof. Dimitris Fotakis. During that time, he completed two research internships offered by the LIP6 Research Institute at Sorbonne University, France. His research interests lie in the intersection of Online Algorithms, Economics and Data-Driven algorithmic design. His previous work resolves open questions for online decision making, server problems, multistage optimisation and learning-augmented algorithms. His current work focuses on problems in the intersection of Online Decision Making and Economics, such as the Pandora’s Box problem and Online Revenue Maximization.


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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 6 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

 
ARCHIMEDES joins the fun at the 2024 Athens Science Festival!

ARCHIMEDES joins the fun at the 2024 Athens Science Festival!

ARCHIMEDES, the AI and Data Science Research Hub at ATHENA Research Center, was thrilled to be part of the 2024 Athens Science Festival (ASF). With over 15,000 visitors and 8,000 students, the festival provided the opportunity for young and old, schools and families, and hundreds of visitors to explore science through fun, innovative, and interactive ways.

Μνημόνιο Συνεργασίας με την Επιτροπή Κεφαλαιαγοράς

Μνημόνιο Συνεργασίας με την Επιτροπή Κεφαλαιαγοράς

Στην υπογραφή Μνημονίου Συνεργασίας προχώρησαν στις 30 Ιουλίου 2024, η Πρόεδρος της Επιτροπής Κεφαλαιαγοράς, κα Βασιλική Λαζαράκου και ο Πρόεδρος του Διοικητικού Συμβουλίου και Γενικός Διευθυντής του «ΑΘΗΝΑ» – Ερευνητικό Κέντρο Καινοτομίας στις Τεχνολογίες της Πληροφορίας, των Επικοινωνιών και της Γνώσης», κ. Ιωάννης Εμίρης.

Archimedes Workshop on the Foundations of Modern AI

Archimedes Workshop on the Foundations of Modern AI

The Archimedes Research Unit on Artificial Intelligence, Data Science, and Algorithms proudly organized the Workshop on the Foundations of Modern AI at the National Technical University of Athens, Greece, on July 3-4, 2024. This prestigious event gathered leading experts and researchers from diverse fields such as Statistical and Computational Learning Theory, Optimization, Algorithmic Game Theory, and Approximation and Online Algorithms.

Visit of Deputy Minister Zoe Rapti to Archimedes and the Athena Research Center Facilities

Visit of Deputy Minister Zoe Rapti to Archimedes and the Athena Research Center Facilities

The appointed new Deputy Minister for Development, Ms. Zoe Rapti, visited on Thursday, July 4, 2024, the Athena Research Center in Athens. The President of Athena, Professor Ioannis Emiris, and Directors and Representatives of the Institutes and Units of Athena received Deputy Minister Zoe Rapti at the entrance of the General Secretariat of Research and Technology. Some of the facilities available at Athena were shown to her, and she briefly interacted with some researchers and staff.

 
 

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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