Robin Allesiardo

ORCID

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 12

Top Venues

CoRR

ICONIP (1)

Int. J. Data Sci. Anal.

ICONIP (4)

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

François Torregrossa, Robin Allesiardo, Vincent Claveau, Guillaume Gravier
Unsupervised Tree Extraction in Embedding Spaces for Taxonomy Induction. WI/IAT (2021)
François Torregrossa, Robin Allesiardo, Vincent Claveau, Nihel Kooli, Guillaume Gravier
A survey on training and evaluation of word embeddings. Int. J. Data Sci. Anal. 11 (2) (2021)
François Torregrossa, Vincent Claveau, Nihel Kooli, Guillaume Gravier, Robin Allesiardo
On the Correlation of Word Embedding Evaluation Metrics. LREC (2020)
Cheikh Brahim El Vaigh, François Torregrossa, Robin Allesiardo, Guillaume Gravier, Pascale Sébillot
A correlation-based entity embedding approach for robust entity linking. ICTAI (2020)
Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul
Une méthodologie pour l'implémentation d'applications tierces intelligentes à destination des assistants vocaux via des bandits linéaires. EGC (2019)
François Torregrossa, Nihel Kooli, Robin Allesiardo, Erwan Pigneul
How We Achieved a Production Ready Slot Filling Deep Neural Network Without Initial Natural Language Data. ICONIP (4) (2019)
Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul
A Practical Approach to Intelligent Spoken Dialogue for Third-Party Applications on Home Devices with Linear Bandits. EGC (best of volume) (2019)
Nihel Kooli, Robin Allesiardo, Erwan Pigneul
Deep Learning Based Approach for Entity Resolution in Databases. ACIIDS (2) (2018)
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard
The non-stationary stochastic multi-armed bandit problem. Int. J. Data Sci. Anal. 3 (4) (2017)
Robin Allesiardo, Raphaël Féraud
Selection of learning experts. IJCNN (2017)
Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
Random Forest for the Contextual Bandit Problem. AISTATS (2016)
Robin Allesiardo, Raphaël Féraud, Odalric-Ambrym Maillard
Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem. CoRR (2016)
Robin Allesiardo, Raphaël Féraud
EXP3 with drift detection for the switching bandit problem. DSAA (2015)
Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
Decision Tree Algorithms for the Contextual Bandit Problem. CoRR (2015)
Djallel Bouneffouf, Romain Laroche, Tanguy Urvoy, Raphaël Féraud, Robin Allesiardo
Contextual Bandit for Active Learning: Active Thompson Sampling. ICONIP (1) (2014)
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
A Neural Networks Committee for the Contextual Bandit Problem. ICONIP (1) (2014)
Robin Allesiardo, Raphaël Féraud, Djallel Bouneffouf
A Neural Networks Committee for the Contextual Bandit Problem. CoRR (2014)

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Publication Activity (10 Years)

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Robin Allesiardo