archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] To Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model

Dates
2024-06-13 16:00 - 18:00
Venue
Artemidos 1 - Amphitheater
As part of our regular Prediction Study Group, Archimedes is delighted to host a talk on "To Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model" by Artem Tsikiridis(Postdoctoral Researcher at CWI) this Thursday at 4pm

Title: To Trust or Not to Trust: Assignment Mechanisms with Predictions in the Private Graph Model

Presenter: Artem Tsikiridis is a Postdoctoral Researcher in the Networks and Optimization Group at Centrum Wiskunde & Informatica (CWI)

Abstract: The realm of algorithms with predictions has led to the development of several new algorithms that leverage (potentially erroneous) predictions to enhance their performance guarantees. The challenge is to devise algorithms that achieve optimal approximation guarantees as the prediction quality varies from perfect (consistency) to imperfect (robustness). This framework is particularly appealing in mechanism design contexts, where predictions might convey private information about the agents. In this paper, we design strategyproof mechanisms that leverage predictions to achieve improved approximation guarantees for several variants of the Generalized Assignment Problem (GAP) in the private graph model. In this model, first introduced by Dughmi & Ghosh (2010), the set of resources that an agent is compatible with is private information. For the Bipartite Matching Problem (BMP), we give a deterministic group-strategyproof (GSP) mechanism that is (1+1/γ)-consistent and (1+γ)-robust, where γ≥1 is some confidence parameter. We also prove that this is best possible. Remarkably, our mechanism draws inspiration from the renowned Gale-Shapley algorithm, incorporating predictions as a crucial element. Additionally, we give a randomized mechanism that is universally GSP and improves on the guarantees in expectation. The other GAP variants that we consider all make use of a unified greedy mechanism that adds edges to the assignment according to a specific order. Our universally GSP mechanism randomizes over the greedy mechanism, our mechanism for BMP and the predicted assignment, leading to (1+3/γ)-consistency and (3+γ)-robustness in expectation. All our mechanisms also provide more fine-grained approximation guarantees that interpolate between the consistency and the robustness, depending on some natural error measure of the prediction.

Bio: Artem Tsikiridis is a Postdoctoral Researcher in the Networks and Optimization Group at Centrum Wiskunde & Informatica (CWI), where he is hosted by Guido Schäfer. He completed his Ph.D. in 2023 at the Athens University of Economics and Business (AUEB), where he was supervised by Vangelis Markakis. His research interests lie at the intersection of theoretical computer science, microeconomics and operations research, with a particular focus on questions related to auctions, mechanism design and online algorithms.

________________________________________________________________________________
Microsoft Teams Need help?
Meeting ID: 339 089 178 653
Passcode: vBVHzd
For organizers: Meeting options
________________________________________________________________________________
 
 

Vision

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

image
image

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

 
Archimedes AGT Afternoon Event (ΑAGTA) will take place on 4 February 2026 at Archimedes premises

Archimedes AGT Afternoon Event (ΑAGTA) will take place on 4 February 2026 at Archimedes premises

2 February 2026

Archimedes AGT Afternoon Event (ΑAGTA) is a newly-established scientific event, focusing on Algorithmic Game Theory and Artificial Intelligence. The first AAGTA workshop will take place on 4 February 2026 at the Archimedes Amphitheatre at Archimedes Unit, Athena Reseach Center, Greece, and will feature two keynote speeches: one by Prof. Paul Goldberg of the University of Oxford, UK, and one by Prof. Christos Papadimitriou of Columbia University, USA and Archimedes Unit, Athena Reseach Center, Greece.

Archimedes Seminar by Michael I. Jordan on

Archimedes Seminar by Michael I. Jordan on "Nonnegative Supermartingales, Sequential Testing, and Statistical Contract Theory"

28 January 2026

On Tuesday 10 February, 2026, from 3:00 pm to 5:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Michael I. Jordan (Researcher at Inria Paris, France, and Professor Emeritus in the Department of Electrical Engineering & Computer Science, and in the Department of Statistics at the University of California, Berkeley, USA, will deliver an Archimedes Seminar on "Nonnegative Supermartingales, Sequential Testing, and Statistical Contract Theory."

Archimedes Talk by Jason Milionis on

Archimedes Talk by Jason Milionis on "From Myerson to Automated Markets: New Research Directions in Exchange Design"

25 January 2026

On Wednesday 28 January, 2026, from 4:00 pm to 5:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Jason Milionis, a 5th and final year Ph.D. candidate in the Computer Science Department at Columbia University, USA, and a Senior Researcher at Category Labs, will deliver an Archimedes talk on "From Myerson to Automated Markets: New Research Directions in Exchange Design."

Archimedes Talk by Dimitris Giovanis on

Archimedes Talk by Dimitris Giovanis on "Learning the “Right” Space for Data-driven Modeling and Uncertainty Quantification in Complex / Multiscale Systems"

20 January 2026

On Wednesday 4 February, 2026, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Dimitris Giovanis, Assistant Research Professor in the Department of Civil and Systems Engineering, The Johns Hopkins University, USA, and fellow of the Hopkins Extreme Materials Institute, a member of the Center on Artificial Intelligence for Materials in Extreme Environments, the Institute for Data Intensive Engineering and Science, the Johns Hopkins Mathematical Institute for Data Science, and the Data Science and AI Institute, will deliver an Archimedes talk on "Learning the “Right” Space for Data-driven Modeling and Uncertainty Quantification in Complex / Multiscale Systems."

Director Timos Sellis Moderates a Panel on AI and Health Policy

Director Timos Sellis Moderates a Panel on AI and Health Policy

8 January 2026

On Thursday, 11 December 2025, during the 2025 Panhellenic Congress on Health Economics and Policy, Professor Timos Sellis moderated an expert panel on ¨How AI May Transform Healthcare and Health Policies” and exchanged views with Professor Costas Athanassakis, Professor Theoklis Zaoutis, Dr. Georgios Papanastasiou, and Dr. Harietta Eleftherochorinou.

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.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)