Section: Dissemination
Promoting Scientific Activities
Scientific Events: Organisation
Member of the Organizing Committees
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F. Strub, co-organizer of the workshop “Visually Grounded Interaction and Language (ViGIL)” at NeurIPS 2019
Scientific Events: Selection
Member of the Conference Program Committees
Reviewer
In 2019, we have reviewed submissions for: AI&Stats, NeurIPS, ALT, ICML, COLT, IJCAI, AAAI, CDC, ECAI
Journal
Reviewer - Reviewing Activities
Invited Talks
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“Beyond Classical Bandit Tools for Monte-Carlo Tree Search”, AAAI workshop on Reinforcement Learning for Games, Honolulu, Jan 2019
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“New tools for Adaptive Testing and Applications to Bandit Problems”, Machine Learning and Optimization Working Group, Ecole des Ponts, Feb 2019
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“Generalized Likelihood Ratios Tests applied to Sequential Decision Making”, Statistics Seminar, Agro ParisTech, Paris, May 2019
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“Generalized Likelihood Ratios Tests applied to Sequential Decision Making”, Machine Learning Seminar, University of Leiden, The Netherlands, May 2019
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“Quelques outils statistiques pour la prise de décision séquentielle”, Conférence plénière du GRETSI, Lille, Aug 2019
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“Practical algorithm for multi-player bandits”, MAPLE workshop, Milan, Italy Sep 2019
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“Practical algorithm for multi-player bandits”, Invited session of the Allerton Conference, Urbana-Champaign, USA Sep 2019
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“La prise de décision séquentielle au service de la société de demain”, Euratechnologie, Lille, Feb 2019
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“Change of mean detection, non-asymptotic delay and aggregation”, 3rd non-stationary day, Institut Henry Poincaré, Paris, Mar 2019
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“A tour of time-uniform concentration inequalities: Laplace, Peeling, Kernel”, Workshop on empirical Processes and Applications to Statistics, Besançon, May 2019
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“A tour of time-uniform concentration inequalities: Laplace, Peeling, Kernel”, CWI, Amsterdam, The Netherlands, Jun 2019
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“Reinforcement Learning: successes and promises”, Ecole Polytechnique, Palaiseau, Nov 2019
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A brief introduction to supervised learning and reinforcement learning, 1st humAIn seminar, Villeneuve d'Ascq, Feb 2019
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Explainability in machine learning, 3rd humAIn seminar, Lille, June 2019
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“Learning to act”, ENS-Paris-Saclay, Conférence de rentrée, Sep 2019
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“Apprentissage par renforcement : mythe et réalité”, FOOR, Tourcoing, Nov 2019
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R. Gautron, O-A. Maillard, Ph. Preux, “Reinforcement learning for crop-management: a sequential decision-making under uncertainty approach”, CGIAR convention, Hydebarad, India, Oct 2019
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Ph. Preux, M. Seurin, “L'IA, les données, ... et l'Homme dans tout ça ?”, congress “Les données et leurs usages dans les technologies du numérique”, Douai, Oct 2019