archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series]Efficiently Certifiable Guarantees for Learning with Distribution Shift

Dates
2025-01-08 14:30 - 16:00
Venue
Artemidos 1 - Amphitheater
TITLE: Efficiently Certifiable Guarantees for Learning with Distribution Shift

SPEAKER: Kostas Stavropoulos (Ph.D. student in Computer Science at UT Austin)

ABSTRACT: Learning in the presence of distribution shift remains a major and challenging problem in machine learning. In this setting, the learner is trained on some labeled training distribution, but evaluated on some other, potentially adversarial, test distribution for which the learner only has unlabeled examples. A long series of works in the past twenty years has focused on giving bounds for the test error in terms of appropriate notions of distance between the training and test distributions. Such distances, however, typically involve enumerations and no efficient algorithms for estimating or even testing such distances are available.

In this talk, we present a new model called testable learning with distribution shift, where the learner is allowed to reject, but only if distribution shift is detected. If the learner accepts, then the output hypothesis is guaranteed to have low test error. In this framework, we provide the first efficient algorithms for learning several fundamental concept classes in the presence of distribution shift under standard assumptions on the training marginal distribution. The classes we capture include halfspace intersections, decision trees and, in general, any class that admits low-degree sandwiching approximators.

REFERENCES: https://arxiv.org/abs/2311.15142 , https://arxiv.org/abs/2404.02364 , https://arxiv.org/abs/2406.09373 , https://arxiv.org/abs/2406.02742 

SHORT BIO: Kostas Stavropoulos ( https://www.kstavrop.com ) is currently a fourth-year Ph.D. student in Computer Science at UT Austin. He is fortunate to be advised by Prof. Adam Klivans. Before that, he studied Electrical and Computer Engineering at the National Technical University of Athens, where he was fortunate to work with Prof. Dimitris Fotakis. His research is in the intersection of machine learning and theoretical computer science. He is particularly interested in designing efficient learning algorithms with provable guarantees that do not rely on the strong assumptions typically made in learning theory, especially in challenging scenarios like learning with distribution shift and/or noise.


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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

 

ARCHIMEDES IMPACT

Research

Education

Figures as of October 2026

HIGHLIGHTS

Academy of Athens
Greek National AI Team selected through PDTN, the Panhellenic AI Competition, co-organized by Archimedes, Athena Research Center
ERC Grant: Christos Papadimitriou will lead the NEAGT project (starting 2026) on strategic interactions and computational decision-making, opening new directions for algorithmic game theory
Archimedes Talks: Michael I. Jordan (Inria Paris; UC Berkeley) on “Nonnegative Supermartingales, Sequential Testing, and Statistical Contract Theory”, 10 February 2026
Archimedes Talks: Paul Goldberg (University of Oxford) on “Complexity of Unambiguous Problems in Σ₂ᴾ”, 4 February 2026
ERC Grant: Christos Tzamos leads the COMFORMAL project (launched 2025) on rigorous foundations for robust and efficient machine learning algorithms
Archimedes Talks: Mark Girolami (The Alan Turing Institute; University of Cambridge) on “Statistical Finite Element Methods”, 7 November 2025
Archimedes Talks: Mihalis Yannakakis (Columbia University) on “Computing a Fixed Point of Contraction Maps in Polynomial Queries”, 25 June 2025

Highlights will be added soon.

 

NEWS

 
Archimedes at EMNLP 2026

Archimedes at EMNLP 2026

15 October 2026

Archimedes members will present five papers at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), one of the leading international conferences in natural language processing, taking place in Budapest, Hungary, from 24 to 29 October 2026: two papers in the Findings of EMNLP and three papers at EMNLP workshops.

Θερινό Σχολείο Μηχανικής Μάθησης και Τεχνητής Νοημοσύνης 2026 για Μαθητές (GR/EN)

Θερινό Σχολείο Μηχανικής Μάθησης και Τεχνητής Νοημοσύνης 2026 για Μαθητές (GR/EN)

13 October 2026

Με μεγάλη χαρά ανακοινώνουμε ότι από τις 15 έως τις 19 Ιουνίου 2026, στη Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών του Εθνικού Μετσόβιου Πολυτεχνείου, θα πραγματοποιηθεί Θερινό Σχολείο Μηχανικής Μάθησης και Τεχνητής Νοημοσύνης για μαθητές Δευτεροβάθμιας Εκπαίδευσης (Γ΄ Γυμνασίου – Γ΄ Λυκείου), με διδάσκοντα τον Κωνσταντίνο Καραμανή. Το κείμενο είναι διαθέσιμο στα ελληνικά και στα αγγλικά (English version below).

Archimedes Leads EU-Funded AIRIS AI Project

Archimedes Leads EU-Funded AIRIS AI Project

13 October 2026

Archimedes leads a global partnership for trustworthy AI in biomedical research through the EU-funded project AIRIS AI, led by Christos Diou, affiliated member of Archimedes and Associate Professor at Harokopio University of Athens.

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.

Greece 2.0 – Funded by the European Union – NextGenerationEU