| 2026 | AAAI | Multi-Armed Bandits Meet Large Language Models. | Djallel Bouneffouf, Raphal Fraud |
| 2026 | WWW | Bandits, LLMs, and Agentic Web. | Djallel Bouneffouf, Raphal Fraud |
| 2025 | ICASSP | Multi-Armed Bandit with Sparse and Noisy Feedback. | Djallel Bouneffouf, Raphal Fraud, Baihan Lin |
| 2024 | KDD | A Tutorial on Multi-Armed Bandit Applications for Large Language Models. | Djallel Bouneffouf, Raphal Fraud |
| 2023 | ICASSP | Question Answering System with Sparse and Noisy Feedback. | Djallel Bouneffouf, Oznur Alkan, Raphal Fraud, Baihan Lin |
| 2021 | EuroPar | Horizontal Scaling in Cloud Using Contextual Bandits. | David Delande, Patricia Stolf, Raphal Fraud, Jean-Marc Pierson, Andr Bottaro |
| 2021 | ICASSP | Toward Skills Dialog Orchestration with Online Learning. | Djallel Bouneffouf, Raphal Fraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish |
| 2021 | ICASSP | Double-Linear Thompson Sampling for Context-Attentive Bandits. | Djallel Bouneffouf, Raphal Fraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish |
| 2021 | IJCAI | Toward Optimal Solution for the Context-Attentive Bandit Problem. | Djallel Bouneffouf, Raphal Fraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni |
| 2020 | ACML | Collaborative Exploration in Stochastic Multi-Player Bandits. | Hiba Dakdouk, Raphal Fraud, Nadge Varsier, Patrick Maill |
| 2020 | ICML | Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. | Rda Alami, Odalric Maillard, Raphal Fraud |
| 2019 | ICML | Decentralized Exploration in Multi-Armed Bandits. | Raphal Fraud, Rda Alami, Romain Laroche |
| 2018 | ICLR | Reinforcement Learning Algorithm Selection. | Romain Laroche, Raphal Fraud |
| 2018 | MSWIM | Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks. | Hiba Dakdouk, Erika Tarazona, Rda Alami, Raphal Fraud, Georgios Z. Papadopoulos, Patrick Maill |
| 2017 | IJCAI | Context Attentive Bandits: Contextual Bandit with Restricted Context. | Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphal Fraud |
| 2017 | IJCNN | Selection of learning experts. | Robin Allesiardo, Raphal Fraud |
| 2016 | AISTATS | Random Forest for the Contextual Bandit Problem. | Raphal Fraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clrot |
| 2015 | DSAA | EXP3 with drift detection for the switching bandit problem. | Robin Allesiardo, Raphal Fraud |
| 2014 | ICONIP | A Neural Networks Committee for the Contextual Bandit Problem. | Robin Allesiardo, Raphal Fraud, Djallel Bouneffouf |
| 2014 | ICONIP | Contextual Bandit for Active Learning: Active Thompson Sampling. | Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphal Fraud, Robin Allesiardo |
| 2013 | ICML | Generic Exploration and K-armed Voting Bandits. | Tanguy Urvoy, Fabrice Clrot, Raphal Fraud, Sami Naamane |
| 2010 | DaWaK | Modelling Complex Data by Learning Which Variable to Construct. | Franoise Fessant, Aurlie Le Cam, Marc Boull, Raphal Fraud |
| 2008 | IJCNN | Contact personalization using a score understanding method. | Vincent Lemaire, Raphal Fraud, Nicolas Voisine |
| 2006 | ICONIP | Driven Forward Features Selection: A Comparative Study on Neural Networks. | Vincent Lemaire, Raphal Fraud |
| 2000 | Networking | Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network. | Raphal Fraud, Fabrice Clrot, Jean-Louis Simon, Daniel Pallou, Cyril Labb, Serge Martin |
| 1998 | ICIP | MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time. | Olivier Bernier, Michel Collobert, Raphal Fraud, Vincent Lemaire, Jean-Emmanuel Viallet, Daniel Collobert |
| 1997 | CAIP | A Conditional Mixture of Neural Networks for Face Detection, Applied to Locating and Tracking an Individual Speaker. | Raphal Fraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert, Daniel Collobert |