Robin Allesiardo
Robin Allesiardo
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Title
Cited by
Cited by
Year
A Neural Networks Committee for the Contextual Bandit Problem
R Allesiardo, R Féraud, D Bouneffouf
International Conference on Neural Information Processing, 374-381, 2014
682014
Contextual bandit for active learning: Active thompson sampling
D Bouneffouf, R Laroche, T Urvoy, R Féraud, R Allesiardo
International Conference on Neural Information Processing, 405-412, 2014
552014
Random forest for the contextual bandit problem
R Féraud, R Allesiardo, T Urvoy, F Clérot
Artificial Intelligence and Statistics, 93-101, 2016
372016
The non-stationary stochastic multi-armed bandit problem
R Allesiardo, R Féraud, OA Maillard
International Journal of Data Science and Analytics 3 (4), 267-283, 2017
362017
EXP3 with Drift Detection for the Switching Bandit Problem
R Allesiardo, R Féraud
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE …, 2015
332015
Deep Learning Based Approach for Entity Resolution in Databases
N Kooli, R Allesiardo, E Pigneul
Asian Conference on Intelligent Information and Database Systems, 3-12, 2018
132018
Selection of Learning Experts
R Allesiardo, R Féraud
IJCNN 2017, 2017
42017
Prise de décision contextuelle en bande organisée: Quand les bandits font un brainstorming
R Allesiardo, R Féraud, D Bouneffouf
CAP'14 3 (16), 11-19, 2014
32014
Bandits Manchots sur Flux de Données Non Stationnaires
R Allesiardo
Université Paris-Saclay, 2016
22016
A correlation-based entity embedding approach for robust entity linking
CB El Vaigh, F Torregrossa, R Allesiardo, G Gravier, P Sébillot
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
12020
On the Correlation of Word Embedding Evaluation Metrics
F Torregrossa, V Claveau, N Kooli, G Gravier, R Allesiardo
Proceedings of the 12th Conference on Language Resources and Evaluation …, 2020
12020
A survey on training and evaluation of word embeddings
F Torregrossa, R Allesiardo, V Claveau, N Kooli, G Gravier
International Journal of Data Science and Analytics, 1-19, 2021
2021
Une méthodologie pour l’implémentation d’applications tierces intelligentes à destination des assistants vocaux via des bandits linéaires
R Allesiardo, C Sauldubois, F Depaulis, N Bulteau, F Chantrel, E Pigneul
Extraction et Gestion des Connaissances: Actes de la conférence EGC'2019 79, 2019
2019
How we Achieved a Production Ready Slot Filling Deep Neural Network without Initial Natural Language Data
F Torregrossa, N Kooli, R Allesiardo, E Pigneul
International Conference on Neural Information Processing, 2019
2019
Online decision Server
R Féraud, T Urvoy, R Allesiardo, F Clérot, N Voisine
2015
Random Forest for the Contextual Bandit Problem-extended version
R Féraud, R Allesiardo, T Urvoy, F Clérot
arXiv preprint arXiv:1504.06952, 2015
2015
Un Algorithme pour le Probleme des Bandits Manchots avec Stationnarité par Parties
R Allesiardo, R Féraud
CAP'2015, 2015
2015
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Articles 1–17