Julien Aubert

PhD student at the Université Côte d'Azur

Julien Aubert

About Me

I am a Postdoctoral researcher at Inria Paris Saclay and EDF Lab working on optimization algorithms for controlling the balance between electricity consumption and production. I have a PhD in Mathematics from the Université Côte d'Azur, where I was part of the J. A. Dieudonné laboratory. I was working on parameters estimation in bandit algorithms under the supervision of Patricia Reynaud-Bouret and Luc Lehéricy. The purpose of our work was to establish a theoretical framework for fitting parameters of cognitive models in neurosciences. Prior to my PhD, I studied at the Ecole Centrale-Supélec and also obtained an MSc in Mathematical Sciences from Oxford University.

Research Interests

My PhD research focused on modeling learning processes based on individual behavioral data. This involves identifying the model that best captures an individual's behavior within a family of models. Key topics include concentration inequalities, penalized maximum likelihood estimation, and hold-out procedures. The models we use are reinforcement learning type models, and more specifically contextual bandits models. Additionally, I explore applications in ethology and categorization tasks from cognitive science.

Publications

Model selection for behavioral learning data and applications to contextual bandits.

AISTATS, 2025

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General oracle inequalities for a penalized log-likelihood criterion

Preprint, 2024

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Exponential inequalities for suprema of processes with stochastic normalization

Preprint, 2024

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On the convergence of the MLE as an estimator of the learning rate

ICML, 2023

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Teaching Experience

Curriculum Vitae

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Contact Me

You can reach me via email at:

julien.aubert@univ-cotedazur.fr

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