Section: Dissemination
Teaching - Supervision - Juries
Teaching
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Licence: C. Dimitrakakis, C2i, 25h eqTD, L1-2, Université de Lille 3, France.
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Licence: C. Dimitrakakis, Traitement de données, Université de Lille 3, France.
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Licence: C. Dimitrakakis, Modélisation de bases de données, Université de Lille 3, France.
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Licence: C. Dimitrakakis, Fonctionnement des réseaux, Université de Lille 3, France.
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Master: A. Lazaric, Reinforcement Learning, 25h eqTD, M2, ENS Cachan, France
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Master: A. Lazaric, Reinforcement Learning, 25h eqTD, M2, Ecole Centrale Lille, France
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Master: Ph. Preux, Advanced data mining, 30h eqTD, M2, Université de Lille 3, France
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Master: Ph. Preux, Fundamental algorithms for data mining, 30h eqTD, M1, Université de Lille 3, France
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Licence: Ph. Preux, Neural Networks, 28h eqTD, L3, Université de Lille 3, France
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Licence: Ph. Preux, Graph Theory, 28h eqTD, L3, Université de Lille 3, France
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Licence: Ph. Preux, C2i, 25h eqTD, L1-2, Université de Lille 3, France.
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Master: M. Valko, 2016/2017 Fall: Graphs in Machine Learning, 27h eqTD, M2, ENS Cachan
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Licence: R. Gaudel, 2016/2017 Spring: programmation R pour statistiques et sociologie quantitative, 44h eqTD, L1, université Lille 3, France
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Licence: R. Gaudel, 2016/2017 Fall: préparation au C2i niveau 1, 30h eqTD, L1-3, université Lille 3, France
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Licence: R. Gaudel, 2016/2017 Spring: préparation au C2i niveau 1, 25h eqTD, L1-3, université Lille 3, France
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Licence: R. Gaudel, 2016/2017 Fall: travail collaboratif et à distance dans un monde numérique, 13h eqTD, L1-3 (enseignement à distance), université Lille 3, France
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Licence: R. Gaudel, 2016/2017 Fall: algorithmes fondamentaux de la fouille de données, 30h eqTD, M1, université Lille 3, France
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Licence: R. Gaudel, 2016/2017 Fall: Fouille de données avancée, 30h eqTD, M2, université Lille 3, France
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Master: B. Piot, 2016/2017 Spring: Web Design, 60h eqTD, M2, Univ. Lille, France
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Master: B. Piot, 2016/2017 Spring: Object Programming, 70h eqTD, M2, Univ. Lille, France
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Master: B. Piot, 2016/2017 Fall: Web Design, 30h eqTD, M2, Univ. Lille, France
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Master: B. Piot, 2016/2017 Fall: Object Programming, 22h eqTD, M2, Univ. Lille, France
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Master: B. Piot, 2016/2017 Fall: Databases, 30h eqTD, M1, Univ. Lille, France
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Master: J. Mary, 2016/2017 Fall: algorithmes fondamentaux de la fouille de données, 30h eqTD, M1, Univ. Lille, France
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Master: J. Mary, 2016/2017 Fall: Programmation Web Avancée, 30h eqTD, M2, Univ. Lille, France
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Master: J. Mary, 2016/2017 Fall: Reinforcement Learning, 16h eqTD, M2, Univ. Lille, France
Supervision
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HdR: Michal Valko, Bandits on graphs and structures, ENS-Cachan, June 15th, 2016
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PhD: Frédéric Guillou, On recommendation systems in sequential context, University of Lille, Dec. 2nd, 2016, advisors: Philippe Preux, Romaric Gaudel, Jérémie Mary
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PhD: Tomas Kocak, Apprentissage séquentiel avec similitudes, University of Lille, Nov. 28th, 2016, advisor: Michal Valko, Rémi Munos
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PhD: Hadrien Glaude, Méthodes des moments pour l’inférence de systèmes séquentiels linéaires rationnels, University of Lille, July. 8th, 2016, advisor: Olivier Pietquin
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PhD in progress: Pratik Gajane, Sequential Learning and Decision Making under Partial Monitoring, University of Lille, started Oct. 2014, advisor: Philippe Preux
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PhD in progress: Marc Abeille, Randomized Exploration-exploration Stretegies, University of Lille, started Oct. 2014, advisor: Alessandro Lazaric
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PhD in progress: Merwan Barlier, Dialogues intelligents basés sur l'écoute de conversations homme/homme, University of Lille, started Oct. 2014, advisor: Olivier Pietquin
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PhD in progress: Alexandre Berard, Learning from post-editing for machine translation, University of Lille, started Oct. 2014, advisor: Olivier Pietquin
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PhD in progress: Lilian Besson, Apprentissage séquentiel multi-joueurs pour la radio intelligente, CentraleSupélec Rennes, started Oct. 2016, advisor: Emilie Kaufmann
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PhD in progress: Reda Alami, Bandit à Mémoire pour la prise de décision en environnement dynamique, Orange LABS, University of Paris-Saclay, started Oct. 2016, advisor: Odalric-Ambrym Maillard, Raphaël Feraud
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PhD in progress: Daniele Calandriello, Efficient Sequential Learning in Structured and Constrained Environment, Inria, started Oct. 2014, advisor: Michal Valko, Alessandro Lazaric
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PhD in progress: Ronan Fruit, Transfer in Hierarchical Reinforcement Learning, University of Lille, started Dec. 2015, advisor: Alessandro Lazaric
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PhD in progress: Guillaume Gautier, DPPs in ML, started Oct. 2016, advisor: Michal Valko; Rémi Bardenet
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PhD in progress: Jean-Bastien Grill, Création et analyse d'algorithmes efficaces pour la prise de décision dans un environnement inconnu et incertain, Inria/ENS Paris/Lille 1, started Oct. 2014, advisor: Rémi Munos, Michal Valko
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PhD in progress: Julien Perolat, Reinforcement learning: the 2-player case, University of Lille, started Oct. 2014, advisor: Olivier Pietquin, Bilal Piot
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PhD in progress: Florian Strub, Deep sequential learning and its application to human-robot interaction, University of Lille, started Jan. 2016, advisor: Olivier Pietquin, Jérémie Mary
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PhD in progress: Romain Warlop, Novel Learning and Exploration-Exploitation Methods for Effective Recommender Systems, University of Lille, started Sep. 2015, advisor: Jérémie Mary
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PhD in progress: Aristide Tossou, Privacy in Sequential Decision Making (provional), Chalmers, started Feb. 2015, advisor: Christos Dimitrakakis
Juries
PhD and hdr juries:
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J. Mary: reviewer for Robin Allesiardo, université Paris Saclay
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Ph. Preux: reviewer for Hongliang Zhong, Laboratoire d'Informatique Fondamentale, Marseille
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Ph. Preux: president of the defense jury of the HDR of Matthieu Geist, Université de Lille
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O. Pietquin: advisor of the HDR of Matthieu Gesit, Université de Lille
PhD mid-term evaluation: