Raphaël Féraud

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 25

Top Topics

Decision Tree Algorithm

Contextual Bandit

Question Answering

Top Venues

Publications

Djallel Bouneffouf, Raphaël Féraud
A Tutorial on Multi-Armed Bandit Applications for Large Language Models. KDD (2024)
Sharyal Zafar, Raphaël Féraud, Anne Blavette, Guy Camilleri, Hamid Ben Ahmed
Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits. CoRR (2023)
Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé, Romain Laroche
Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks. Ad Hoc Networks 151 (2023)
Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin
Question Answering System with Sparse and Noisy Feedback. ICASSP (2023)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni
Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP (2021)
David Delande, Patricia Stolf, Raphaël Féraud, Jean-Marc Pierson, André Bottaro
Horizontal Scaling in Cloud Using Contextual Bandits. Euro-Par (2021)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish
Toward Skills Dialog Orchestration with Online Learning. ICASSP (2021)
Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin
Batched Bandits with Crowd Externalities. CoRR (2021)
Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé
Collaborative Exploration in Stochastic Multi-Player Bandits. ACML (2020)
Réda Alami, Odalric Maillard, Raphaël Féraud
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. ICML (2020)
Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish
Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR (2020)
Raphaël Féraud, Réda Alami, Romain Laroche
Decentralized Exploration in Multi-Armed Bandits. ICML (2019)
Hiba Dakdouk, Erika Tarazona, Réda Alami, Raphaël Féraud, Georgios Z. Papadopoulos, Patrick Maillé
Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks. MSWiM (2018)
Raphaël Féraud, Réda Alami, Romain Laroche
Decentralized Exploration in Multi-Armed Bandits. CoRR (2018)
Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé
Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. ICT (2018)
Romain Laroche, Raphaël Féraud
Reinforcement Learning Algorithm Selection. ICLR (Poster) (2018)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR (2017)
Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI (2017)
Romain Laroche, Raphaël Féraud
Algorithm selection of off-policy reinforcement learning algorithm. CoRR (2017)
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard
The non-stationary stochastic multi-armed bandit problem. Int. J. Data Sci. Anal. 3 (4) (2017)
Robin Allesiardo, Raphaël Féraud
Selection of learning experts. IJCNN (2017)
Djallel Bouneffouf, Raphaël Féraud
Multi-armed bandit problem with known trend. Neurocomputing 205 (2016)
Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
Random Forest for the Contextual Bandit Problem. AISTATS (2016)
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard
Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem. CoRR (2016)
Robin Allesiardo, Raphaël Féraud
EXP3 with drift detection for the switching bandit problem. DSAA (2015)
Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
Decision Tree Algorithms for the Contextual Bandit Problem. CoRR (2015)
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) (2014)
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) (2014)
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
A Neural Networks Committee for the Contextual Bandit Problem. CoRR (2014)
Raphaël Féraud, Tanguy Urvoy
Exploration and exploitation of scratch games. Mach. Learn. 92 (2-3) (2013)
Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane
Generic Exploration and K-armed Voting Bandits. ICML (2) (2013)
Raphaël Féraud, Tanguy Urvoy
A stochastic bandit algorithm for scratch games. ACML (2012)
Françoise Fessant, Aurélie Le Cam, Marc Boullé, Raphaël Féraud
Modelling Complex Data by Learning Which Variable to Construct. DaWak (2010)
Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire
The Orange Customer Analysis Platform. ICDM (2010)
Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant
Vers l'exploitation de grandes masses de données. EGC (2008)
Vincent Lemaire, Raphaël Féraud, Nicolas Voisine
Contact personalization using a score understanding method. IJCNN (2008)
Raphaël Féraud, Fabrice Clérot
Vers l'échantillonnage d'un entrepôt de données. EDA (2007)
Vincent Lemaire, Raphaël Féraud
Une méthode d'interprétation de scores. EGC (2007)
Vincent Lemaire, Raphaël Féraud
Driven Forward Features Selection: A Comparative Study on Neural Networks. ICONIP (2) (2006)
Raphaël Féraud, Fabrice Clérot
A methodology to explain neural network classification. Neural Networks 15 (1) (2002)
Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert
A Fast and Accurate Face Detector Based on Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 23 (1) (2001)
Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert
A Fast and Accurate Face Detector for Indexation of Face Images. FG (2000)
Raphaël Féraud, Fabrice Clérot, Jean-Louis Simon, Daniel Pallou, Cyril Labbé, Serge Martin
Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network. NETWORKING (2000)
Jean-Emmanuel Viallet, Michel Collobert, Raphaël Féraud, Olivier Bernier
Panorama: A What I See Is What I Want Contactless Visual Interface. FG (1998)
Olivier Bernier, Michel Collobert, Raphaël Féraud, Vincent Lemaire, Jean-Emmanuel Viallet, Daniel Collobert
MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time. ICIP (1) (1998)
Raphaël Féraud, Olivier Bernier, Daniel Collobert
A Constrained Generative Model Applied to Face Detection. Neural Process. Lett. 5 (2) (1997)
Raphaël Féraud, Olivier Bernier
Ensemble and Modular Approaches for Face Detection: A Comparison. NIPS (1997)
Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert, Daniel Collobert
A Conditional Mixture of Neural Networks for Face Detection, Applied to Locating and Tracking an Individual Speaker. CAIP (1997)
Michel Collobert, Raphaël Féraud, G. Le Tourneur, Olivier Bernier, Jean-Emmanuel Viallet, Yannick Mahieux, Daniel Collobert
LISTEN: A System for Locating and Tracking Individual Speakers. FG (1996)