Emmanuelle Claeys

Lecturer, Informatics, IRIT

Joined

May 2024

Names

Emmanuelle Claeys (Preferred)

Emails

****@irit.fr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Lecturer

Informatics , IRIT (irit.fr)

2020 – Present

Postdoc

Statistics, Université de Technologie de Troyes (utt.fr)

2019 – 2020

PhD student

Informatics and Statistics, Université de Strasbourg (unistra.fr)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Pierre Gançarski

2016 – 2020

PhD Advisor

Myriam Maumy

2016 – 2020

Expertise

fairness

2024 – Present

bandit

2016 – Present

Publications

Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
Emmanuelle Claeys, Kerjean Elena, Jean-Michel Loubes
- Submitted to ICLR 2026
- Readers: Everyone
Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
Valentin Lafargue, Adriana Laurindo Monteiro, Emmanuelle Claeys, Laurent Risser, Jean-Michel Loubes
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
- IEEE Trans. Knowl. Data Eng. 2023
- Readers: Everyone
Online Hyper-Parameter Tuning for the Contextual Bandit
Djallel Bouneffouf, Emmanuelle Claeys
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- ICASSP 2021
- Readers: Everyone
Intégration des séries temporelles dans les A/B-Tests
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand
- EGC 2020
- Readers: Everyone
Hyper-parameter Tuning for the Contextual Bandit
Djallel Bouneffouf, Emmanuelle Claeys
- Published: 01 Jan 2020, Last Modified: 15 May 2023
- CoRR 2020
- Readers: Everyone
Clusterisation incrémentale, multicritères de données hétérogènes pour la personnalisation d'expérience utilisateur. (Incremental, multi-criteria clustering of heterogeneous data for user experience customization)
Emmanuelle Claeys
- undefined 2019
- Readers: Everyone
Approche contextuelle par régression pour les tests A/B
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand
- EGC 2018
- Readers: Everyone
Regression Tree for Bandits Models in A/B Testing
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
- IDA 2017
- Readers: Everyone
Conception d'un modèle généraliste pour l'évaluation d'un test A/B
Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner
- EGC 2017
- Readers: Everyone

View all 11 publications