A Neural Networks Committee for the Contextual Bandit Problem. - Robin Allesiardo; Raphaël Féraud; Djallel Bouneffouf 001 (ICONIP (1), 2014)

Contextual Bandit for Active Learning: Active Thompson Sampling. - Djallel Bouneffouf 001; Romain Laroche; Tanguy Urvoy; Raphaël Féraud; Robin Allesiardo (ICONIP (1), 2014)

EXP3 with drift detection for the switching bandit problem. - Robin Allesiardo; Raphaël Féraud (DSAA, 2015)

Decision Tree Algorithms for the Contextual Bandit Problem. - Raphaël Féraud; Robin Allesiardo; Tanguy Urvoy; Fabrice Clérot (CoRR, 2015)

Random Forest for the Contextual Bandit Problem. - Raphaël Féraud; Robin Allesiardo; Tanguy Urvoy; Fabrice Clérot (AISTATS, 2016)

Random Shuffling and Resets for the Non-stationary Stochastic Bandit Problem. - Robin Allesiardo; Raphaël Féraud; Odalric-Ambrym Maillard (CoRR, 2016)

Bandits Manchots sur Flux de Données Non Stationnaires. (Multi-armed bandits for non-stationary data streams). - Robin Allesiardo (2016)

Selection of learning experts. - Robin Allesiardo; Raphaël Féraud (IJCNN, 2017)

The non-stationary stochastic multi-armed bandit problem. - Robin Allesiardo; Raphaël Féraud; Odalric-Ambrym Maillard (Int. J. Data Sci. Anal., 2017)

Deep Learning Based Approach for Entity Resolution in Databases. - Nihel Kooli; Robin Allesiardo; Erwan Pigneul (ACIIDS (2), 2018)

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 (EGC, 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 (EGC (best of volume), 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 (ICONIP (4), 2019)

A correlation-based entity embedding approach for robust entity linking. - Cheikh Brahim El Vaigh; François Torregrossa; Robin Allesiardo; Guillaume Gravier; Pascale Sébillot (ICTAI, 2020)

On the Correlation of Word Embedding Evaluation Metrics. - François Torregrossa; Vincent Claveau; Nihel Kooli; Guillaume Gravier; Robin Allesiardo (LREC, 2020)

Unsupervised Tree Extraction in Embedding Spaces for Taxonomy Induction. - François Torregrossa; Robin Allesiardo; Vincent Claveau; Guillaume Gravier (WI/IAT, 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)