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ORCIDRaphaël Féraud
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- affiliation: Orange Labs, Lannion, France
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Books and Theses
- 2023
[b1]Raphaël Féraud:
On the relevance of bandit algorithms in digital world. University of Paris-Saclay, France, 2023
Journal Articles
- 2023
- [j7]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: 103283 (2023) - 2017
- [j6]Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard:
The non-stationary stochastic multi-armed bandit problem. Int. J. Data Sci. Anal. 3(4): 267-283 (2017) - 2016
- [j5]Djallel Bouneffouf, Raphaël Féraud:
Multi-armed bandit problem with known trend. Neurocomputing 205: 16-21 (2016) - 2013
- [j4]Raphaël Féraud, Tanguy Urvoy:
Exploration and exploitation of scratch games. Mach. Learn. 92(2-3): 377-401 (2013) - 2002
- [j3]Raphaël Féraud, Fabrice Clérot:
A methodology to explain neural network classification. Neural Networks 15(1): 237-246 (2002) - 2001
- [j2]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): 42-53 (2001) - 1997
- [j1]Raphaël Féraud, Olivier Bernier, Daniel Collobert:
A Constrained Generative Model Applied to Face Detection. Neural Process. Lett. 5(2): 11-19 (1997)
Conference and Workshop Papers
- 2024
- [c34]Djallel Bouneffouf, Raphaël Féraud:
A Tutorial on Multi-Armed Bandit Applications for Large Language Models. KDD 2024: 6412-6413 - 2023
- [c33]Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin:
Question Answering System with Sparse and Noisy Feedback. ICASSP 2023: 1-5 - 2021
- [c32]David Delande, Patricia Stolf, Raphaël Féraud, Jean-Marc Pierson, André Bottaro:
Horizontal Scaling in Cloud Using Contextual Bandits. Euro-Par 2021: 285-300 - [c31]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish:
Double-Linear Thompson Sampling for Context-Attentive Bandits. ICASSP 2021: 3450-3454 - [c30]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish:
Toward Skills Dialog Orchestration with Online Learning. ICASSP 2021: 3600-3604 - [c29]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni:
Toward Optimal Solution for the Context-Attentive Bandit Problem. IJCAI 2021: 3493-3500 - 2020
- [c28]Hiba Dakdouk, Raphaël Féraud, Nadège Varsier, Patrick Maillé:
Collaborative Exploration in Stochastic Multi-Player Bandits. ACML 2020: 193-208 - [c27]Réda Alami, Odalric Maillard, Raphaël Féraud:
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. ICML 2020: 211-221 - 2019
- [c26]Raphaël Féraud, Réda Alami, Romain Laroche:
Decentralized Exploration in Multi-Armed Bandits. ICML 2019: 1901-1909 - 2018
- [c25]Romain Laroche, Raphaël Féraud:
Reinforcement Learning Algorithm Selection. ICLR (Poster) 2018 - [c24]Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé:
Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. ICT 2018: 521-526 - [c23]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: 99-107 - 2017
- [c22]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud:
Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI 2017: 1468-1475 - [c21]Robin Allesiardo, Raphaël Féraud:
Selection of learning experts. IJCNN 2017: 1005-1010 - 2016
- [c20]Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot:
Random Forest for the Contextual Bandit Problem. AISTATS 2016: 93-101 - 2015
- [c19]Robin Allesiardo, Raphaël Féraud:
EXP3 with drift detection for the switching bandit problem. DSAA 2015: 1-7 - 2014
- [c18]Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf:
A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) 2014: 374-381 - [c17]Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo:
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) 2014: 405-412 - 2013
- [c16]Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane:
Generic Exploration and K-armed Voting Bandits. ICML (2) 2013: 91-99 - 2012
- [c15]Raphaël Féraud, Tanguy Urvoy:
A stochastic bandit algorithm for scratch games. ACML 2012: 129-143 - 2010
- [c14]Françoise Fessant, Aurélie Le Cam, Marc Boullé, Raphaël Féraud:
Modelling Complex Data by Learning Which Variable to Construct. DaWak 2010: 324-335 - [c13]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire:
The Orange Customer Analysis Platform. ICDM 2010: 584-594 - 2008
- [c12]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant:
Vers l'exploitation de grandes masses de données. EGC 2008: 241-252 - [c11]Vincent Lemaire, Raphaël Féraud, Nicolas Voisine:
Contact personalization using a score understanding method. IJCNN 2008: 649-654 - 2007
- [c10]Raphaël Féraud, Fabrice Clérot:
Vers l'échantillonnage d'un entrepôt de données. EDA 2007: 37-50 - [c9]Vincent Lemaire, Raphaël Féraud:
Une méthode d'interprétation de scores. EGC 2007: 191-192 - 2006
- [c8]Vincent Lemaire, Raphaël Féraud:
Driven Forward Features Selection: A Comparative Study on Neural Networks. ICONIP (2) 2006: 693-702 - 2000
- [c7]Raphaël Féraud, Olivier Bernier, Jean-Emmanuel Viallet, Michel Collobert:
A Fast and Accurate Face Detector for Indexation of Face Images. FG 2000: 77-82 - [c6]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: 655-666 - 1998
- [c5]Jean-Emmanuel Viallet, Michel Collobert, Raphaël Féraud, Olivier Bernier:
Panorama: A What I See Is What I Want Contactless Visual Interface. FG 1998: 568-572 - [c4]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: 136-140 - 1997
- [c3]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: 464-471 - [c2]Raphaël Féraud, Olivier Bernier:
Ensemble and Modular Approaches for Face Detection: A Comparison. NIPS 1997: 472-478 - 1996
- [c1]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: 283-288
Informal and Other Publications
- 2023
- [i9]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 abs/2307.10704 (2023) - 2021
- [i8]Romain Laroche, Othmane Safsafi, Raphaël Féraud, Nicolas Broutin:
Batched Bandits with Crowd Externalities. CoRR abs/2109.14733 (2021) - 2020
- [i7]Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Yasaman Khazaeni, Irina Rish:
Double-Linear Thompson Sampling for Context-Attentive Bandits. CoRR abs/2010.09473 (2020) - 2018
- [i6]Raphaël Féraud, Réda Alami, Romain Laroche:
Decentralized Exploration in Multi-Armed Bandits. CoRR abs/1811.07763 (2018) - 2017
- [i5]Romain Laroche, Raphaël Féraud:
Algorithm selection of off-policy reinforcement learning algorithm. CoRR abs/1701.08810 (2017) - [i4]Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud:
Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR abs/1705.03821 (2017) - 2016
- [i3]Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard:
Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem. CoRR abs/1609.02139 (2016) - 2015
- [i2]Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot:
Decision Tree Algorithms for the Contextual Bandit Problem. CoRR abs/1504.06952 (2015) - 2014
- [i1]Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf:
A Neural Networks Committee for the Contextual Bandit Problem. CoRR abs/1409.8191 (2014)
Coauthor Index
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