Raphaël Féraud

Orcid: 0000-0001-9986-8878

Affiliations:
  • Orange Labs, Lannion, France


According to our database1, Raphaël Féraud authored at least 48 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Tutorial on Multi-Armed Bandit Applications for Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Recharge intelligente décentralisée de véhicules électriques à l'aide d'un système multi-agent adaptatif utilisant des bandits manchots.
Proceedings of the Simulation multi-agents : nouvelles approches, nouveaux enjeux, 2024

2023
Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks.
Ad Hoc Networks, December, 2023

Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits.
CoRR, 2023

Question Answering System with Sparse and Noisy Feedback.
Proceedings of the IEEE International Conference on Acoustics, 2023

On the relevance of bandit algorithms in digital world.
, 2023

2021
Batched Bandits with Crowd Externalities.
CoRR, 2021

Toward Optimal Solution for the Context-Attentive Bandit Problem.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Double-Linear Thompson Sampling for Context-Attentive Bandits.
Proceedings of the IEEE International Conference on Acoustics, 2021

Toward Skills Dialog Orchestration with Online Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Horizontal Scaling in Cloud Using Contextual Bandits.
Proceedings of the Euro-Par 2021: Parallel Processing, 2021

2020
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay.
Proceedings of the 37th International Conference on Machine Learning, 2020

Collaborative Exploration in Stochastic Multi-Player Bandits.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Decentralized Exploration in Multi-Armed Bandits.
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.
Proceedings of the 21st ACM International Conference on Modeling, 2018

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms.
Proceedings of the 25th International Conference on Telecommunications, 2018

Reinforcement Learning Algorithm Selection.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
The non-stationary stochastic multi-armed bandit problem.
Int. J. Data Sci. Anal., 2017

Algorithm selection of off-policy reinforcement learning algorithm.
CoRR, 2017

Selection of learning experts.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Context Attentive Bandits: Contextual Bandit with Restricted Context.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Multi-armed bandit problem with known trend.
Neurocomputing, 2016

Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem.
CoRR, 2016

Random Forest for the Contextual Bandit Problem.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Decision Tree Algorithms for the Contextual Bandit Problem.
CoRR, 2015

EXP3 with drift detection for the switching bandit problem.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Contextual Bandit for Active Learning: Active Thompson Sampling.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Neural Networks Committee for the Contextual Bandit Problem.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Exploration and exploitation of scratch games.
Mach. Learn., 2013

Generic Exploration and K-armed Voting Bandits.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
A stochastic bandit algorithm for scratch games.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

2010
The Orange Customer Analysis Platform.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Modelling Complex Data by Learning Which Variable to Construct.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

2008
Contact personalization using a score understanding method.
Proceedings of the International Joint Conference on Neural Networks, 2008

Vers l'exploitation de grandes masses de données.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007
Une méthode d'interprétation de scores.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Vers l'échantillonnage d'un entrepôt de données.
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.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2002
A methodology to explain neural network classification.
Neural Networks, 2002

2001
A Fast and Accurate Face Detector Based on Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

2000
Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network.
Proceedings of the NETWORKING 2000, 2000

A Fast and Accurate Face Detector for Indexation of Face Images.
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.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Panorama: A What I See Is What I Want Contactless Visual Interface.
Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

1997
A Constrained Generative Model Applied to Face Detection.
Neural Process. Lett., 1997

Ensemble and Modular Approaches for Face Detection: A Comparison.
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.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

1996
LISTEN: A System for Locating and Tracking Individual Speakers.
Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), 1996


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