Robin Allesiardo

According to our database, Robin Allesiardo authored at least 17 papers between 2014 and 2021.

Collaborative distances:

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

2021

A survey on training and evaluation of word embeddings.

François Torregrossa, Robin Allesiardo, Vincent Claveau, Nihel Kooli, Guillaume Gravier

Int. J. Data Sci. Anal., 2021

Unsupervised Tree Extraction in Embedding Spaces for Taxonomy Induction.

François Torregrossa, Robin Allesiardo, Vincent Claveau, Guillaume Gravier

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

2020

On the Correlation of Word Embedding Evaluation Metrics.

François Torregrossa, Vincent Claveau, Nihel Kooli, Guillaume Gravier, Robin Allesiardo

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A correlation-based entity embedding approach for robust entity linking.

Cheikh Brahim El Vaigh, François Torregrossa, Robin Allesiardo, Guillaume Gravier, Pascale Sébillot

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

How We Achieved a Production Ready Slot Filling Deep Neural Network Without Initial Natural Language Data.

François Torregrossa, Nihel Kooli, Robin Allesiardo, Erwan Pigneul

Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Practical Approach to Intelligent Spoken Dialogue for Third-Party Applications on Home Devices with Linear Bandits.

Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul

Proceedings of the Advances in Knowledge Discovery and Management, 2019

Une méthodologie pour l'implémentation d'applications tierces intelligentes à destination des assistants vocaux via des bandits linéaires.

Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul

Proceedings of the Extraction et Gestion des connaissances, 2019

2018

Deep Learning Based Approach for Entity Resolution in Databases.

Nihel Kooli, Robin Allesiardo, Erwan Pigneul

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

The non-stationary stochastic multi-armed bandit problem.

Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard

Int. J. Data Sci. Anal., 2017

Selection of learning experts.

Robin Allesiardo, Raphaël Féraud

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

2016

Bandits Manchots sur Flux de Données Non Stationnaires. (Multi-armed bandits for non-stationary data streams).

Robin Allesiardo

PhD thesis, 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