collaborators

6 papers

cs.LG2026

Sequential Cohort Selection under Uncertainty

Hortence Yiepnou, Christos Dimitrakakis

We study the problem of fair cohort selection under uncertainty, motivated by university admissions where applicant outcomes are only partially observed. We consider both a one-sho…

cs.LG2026

Two-Player Zero-Sum Games with Bandit Feedback

Elif Yılmaz, Christos Dimitrakakis

We study a two-player zero-sum game in which the row player aims to maximize their payoff against a competing column player, under an unknown payoff matrix estimated through bandit…

cs.GT2025

Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems

Victor Villin, Christos Dimitrakakis

Human interactions are influenced by emotions, temperament, and affection, often conflicting with individuals' underlying preferences. Without explicit knowledge of those preferenc…

cs.GT2025

Fair Contracts in Principal-Agent Games with Heterogeneous Types

Jakub Tłuczek, Victor Villin, Christos Dimitrakakis

Fairness is desirable yet challenging to achieve within multi-agent systems, especially when agents differ in latent traits that affect their abilities. This hidden heterogeneity o…

cs.LG2025

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret

Emilio Jorge, Christos Dimitrakakis, Debabrota Basu

Common assumptions, like linear or RKHS models, and Gaussian or log-concave posteriors over the models, do not explain practical success of RL across a wider range of distributions…

cs.AI2025

A Minimax Approach to Ad Hoc Teamwork

Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis

We propose a minimax-Bayes approach to Ad Hoc Teamwork (AHT) that optimizes policies against an adversarial prior over partners, explicitly accounting for uncertainty about partner…