Raphaël Féraud

According to our database, Raphaël Féraud authored at least 46 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks.

Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé, Romain Laroche

Ad Hoc Networks, December, 2023

Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits.

Sharyal Zafar, Raphaël Féraud, Anne Blavette, Guy Camilleri, Hamid Ben Ahmed

CoRR, 2023

Question Answering System with Sparse and Noisy Feedback.

Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

On the relevance of bandit algorithms in digital world.

Raphaël Féraud

, 2023

2021

Batched Bandits with Crowd Externalities.

Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin

CoRR, 2021

Toward Optimal Solution for the Context-Attentive Bandit Problem.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Double-Linear Thompson Sampling for Context-Attentive Bandits.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish

Proceedings of the IEEE International Conference on Acoustics, 2021

Toward Skills Dialog Orchestration with Online Learning.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish

Proceedings of the IEEE International Conference on Acoustics, 2021

Horizontal Scaling in Cloud Using Contextual Bandits.

David Delande, Patricia Stolf, Raphaël Féraud, Jean-Marc Pierson, André Bottaro

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020

Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay.

Réda Alami, Odalric Maillard, Raphaël Féraud

Proceedings of the 37th International Conference on Machine Learning, 2020

Collaborative Exploration in Stochastic Multi-Player Bandits.

Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Decentralized Exploration in Multi-Armed Bandits.

Raphaël Féraud, Réda Alami, Romain Laroche

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks.

Hiba Dakdouk, Erika Tarazona, Réda Alami, Raphaël Féraud, Georgios Z. Papadopoulos, Patrick Maillé

Proceedings of the 21st ACM International Conference on Modeling, 2018

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms.

Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé

Proceedings of the 25th International Conference on Telecommunications, 2018

Reinforcement Learning Algorithm Selection.

Romain Laroche, Raphaël Féraud

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The non-stationary stochastic multi-armed bandit problem.

Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard

Int. J. Data Sci. Anal., 2017

Algorithm selection of off-policy reinforcement learning algorithm.

Romain Laroche, Raphaël Féraud

CoRR, 2017

Selection of learning experts.

Robin Allesiardo, Raphaël Féraud

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Context Attentive Bandits: Contextual Bandit with Restricted Context.

Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Multi-armed bandit problem with known trend.

Djallel Bouneffouf, Raphaël Féraud

Neurocomputing, 2016

Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem.

Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard

CoRR, 2016

Random Forest for the Contextual Bandit Problem.

Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Decision Tree Algorithms for the Contextual Bandit Problem.

Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot

CoRR, 2015

EXP3 with drift detection for the switching bandit problem.

Robin Allesiardo, Raphaël Féraud

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Contextual Bandit for Active Learning: Active Thompson Sampling.

Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo

Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Neural Networks Committee for the Contextual Bandit Problem.

Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013

Exploration and exploitation of scratch games.

Raphaël Féraud, Tanguy Urvoy

Mach. Learn., 2013

Generic Exploration and K-armed Voting Bandits.

Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

A stochastic bandit algorithm for scratch games.

Raphaël Féraud, Tanguy Urvoy

Proceedings of the 4th Asian Conference on Machine Learning, 2012

2010

The Orange Customer Analysis Platform.

Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Modelling Complex Data by Learning Which Variable to Construct.

Françoise Fessant, Aurélie Le Cam, Marc Boullé, Raphaël Féraud

Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

2008

Contact personalization using a score understanding method.

Vincent Lemaire, Raphaël Féraud, Nicolas Voisine

Proceedings of the International Joint Conference on Neural Networks, 2008

Vers l'exploitation de grandes masses de données.

Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

Une méthode d'interprétation de scores.

Vincent Lemaire, Raphaël Féraud

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Vers l'échantillonnage d'un entrepôt de données.

Raphaël Féraud, Fabrice Clérot

Proceedings of the Actes des 3èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2007

2006

Driven Forward Features Selection: A Comparative Study on Neural Networks.

Vincent Lemaire, Raphaël Féraud

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2002

A methodology to explain neural network classification.

Raphaël Féraud, Fabrice Clérot

Neural Networks, 2002

2001

A Fast and Accurate Face Detector Based on Neural Networks.

Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert

IEEE Trans. Pattern Anal. Mach. Intell., 2001

2000

Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network.

Raphaël Féraud, Fabrice Clérot, Jean-Louis Simon, Daniel Pallou, Cyril Labbé, Serge Martin

Proceedings of the NETWORKING 2000, 2000

A Fast and Accurate Face Detector for Indexation of Face Images.

Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert

Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

1998

MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time.

Olivier Bernier, Michel Collobert, Raphaël Féraud, Vincent Lemaire, Jean-Emmanuel Viallet, Daniel Collobert

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Panorama: A What I See Is What I Want Contactless Visual Interface.

Jean-Emmanuel Viallet, Michel Collobert, Raphaël Féraud, Olivier Bernier

Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

1997

A Constrained Generative Model Applied to Face Detection.

Raphaël Féraud, Olivier Bernier, Daniel Collobert

Neural Process. Lett., 1997

Ensemble and Modular Approaches for Face Detection: A Comparison.

Raphaël Féraud, Olivier Bernier

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

A Conditional Mixture of Neural Networks for Face Detection, Applied to Locating and Tracking an Individual Speaker.

Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert, Daniel Collobert

Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

1996

LISTEN: A System for Locating and Tracking Individual Speakers.

Michel Collobert, Raphaël Féraud, G. Le Tourneur, Olivier Bernier, Jean-Emmanuel Viallet, Yannick Mahieux, Daniel Collobert

Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), 1996