activity
20222026
most citedShifts 2.0: Extending The Dataset of Real Distributional Shifts

18 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Probably Correct Optimal Stable Matching under Two-Sided Uncertainty

Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis

We study a sequential learning problem for stable matchings in two-sided markets where preferences on both sides are initially unknown. We focus on a centralized setting where an a…

cs.LG2025

Rawlsian many-to-one matching with non-linear utility

Hortence Nana, Andreas Athanasopoulos, Christos Dimitrakakis

We study a many-to-one matching problem, such as the college admission problem, where each college can admit multiple students. Unlike classical models, colleges evaluate sets of s…

cs.LG2025

Learning in Matching Games with Bandit Feedback

Andreas Athanasopoulos, Christos Dimitrakakis

We introduce a learning problem in a generalized two-sided matching market, where agents select actions to interact with their match. Specifically, we consider a setting in which m…

cs.LG2025

Probably Correct Optimal Stable Matching for Two-Sided Markets Under Uncertainty

Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis

We consider a learning problem for the stable marriage model under unknown preferences for the left side of the market. We focus on the centralized case, where at each time step, a…

cs.LG2022★ 18 cited

Shifts 2.0: Extending The Dataset of Real Distributional Shifts

Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic +15

Distributional shift, or the mismatch between training and deployment data, is a significant obstacle to the usage of machine learning in high-stakes industrial applications, such…