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	hal-01629479v2 Preprints, Working Papers, ... Aurélien Garivier, Pierre Ménard, Laurent Rossi, Pierre Menard. Thresholding Bandit for Dose-ranging: The Impact of Monotonicity 2018
	hal-01822524v1 Conference papers Grégoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne, Aurélien Garivier, Sébastien Gerchinovitz. Optimization of a SSP's Header Bidding Strategy using Thompson Sampling The 24th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining, Aug 2018, London, United Kingdom. ⟨10.1145/3219819.3219917⟩
	hal-00862062v1 Conference papers Aurélien Garivier. Informational Confidence Bounds for Self-Normalized Averages and Applications IEEE Information Theory Workshop, Sep 2013, Seville, Spain. pp.489-493
	hal-01090666v1 Conference papers Céline Abraham, Jérémie Bettinelli, Gwendal Collet, Igor Kortchemski, Aurélien Garivier. Random maps Journées MAS 2014, Aug 2014, Toulouse, France. pp.133--149, ⟨10.1051/proc/201551008⟩
	hal-01671320v1 Conference papers Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe. Systèmes de recommandations : algorithmes de bandits et évaluation expérimentale 47emes Journees de Statistique de la SFdS (JDS 2015), Jun 2015, Lille, France. pp. 1-8
	hal-01659314v1 Conference papers Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe. Algorithmes de bandit pour les systèmes de recommandation : le cas de multiples recommandations simultanées Conference francophone en Recherche d'Information et Applications (CORIA 2015), Mar 2015, Paris, France. pp. 73-88
	hal-02023229v1 Journal articles Jonathan Louëdec, Max Chevalier, Josiane Mothe, Aurélien Garivier, Sébastien Gerchinovitz. A Multiple-play Bandit Algorithm Applies to Recommender Systems Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015, AAAI Publications, The Twenty-Eighth International Flairs Conference
	hal-01276324v3 Journal articles Aurélien Garivier, Pierre Ménard, Gilles Stoltz. Explore First, Exploit Next: The True Shape of Regret in Bandit Problems Mathematics of Operations Research, INFORMS, 2019, 44 (2), pp.377-399. ⟨10.1287/moor.2017.0928⟩
	hal-00738209v2 Journal articles Olivier Cappé, Aurélien Garivier, Odalric-Ambrym Maillard, Rémi Munos, Gilles Stoltz. Kullback-Leibler Upper Confidence Bounds for Optimal Sequential Allocation Annals of Statistics, Institute of Mathematical Statistics, 2013, 41 (3), pp.1516-1541
	hal-00738202v1 Journal articles Antonio Galves, Aurélien Garivier, Elisabeth Gassiat. Joint estimation of intersecting context tree models Scandinavian Journal of Statistics, Wiley, 2012, pp.early view
	hal-01187329v7 Preprints, Working Papers, ... Tatiana Labopin-Richard, Fabrice Gamboa, Aurélien Garivier, Jerome Stenger. Conditional quantile sequential estimation for stochastic codes 2015
	hal-00798388v2 Journal articles Aurélien Garivier. Perfect Simulation Of Processes With Long Memory: a 'Coupling Into And From The Past' Algorithm Random Structures and Algorithms, Wiley, 2015, 46 (2), pp.300-319
	hal-01659313v1 Journal articles Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe. Bandit algorithms for the multiple-play recommendation Document Numérique, Lavoisier, 2015, 18 (2-3), pp.59-79. ⟨10.3166/DN.18.2-3.59-79⟩
	hal-00977409v1 Conference papers Cécile Chouquet, Aurélien Garivier. Poursuite d'étude après un IUT STID : l'exemple du Cursus de Master en Ingénierie Statistique et Informatique Décisionnelle de Toulouse Journées de Statistiques de la SFDS, Jun 2014, Rennes, France
	hal-00811860v1 Journal articles Sébastien Bubeck, Damien Ernst, Aurélien Garivier. Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality Journal of Machine Learning Research, Microtome Publishing, 2013, 14, pp.601−623
	hal-00996440v8 Journal articles Tatiana Labopin-Richard, Fabrice Gamboa, Aurélien Garivier, Bertrand Iooss. Bregman superquantiles. Estimation methods and applications. Dependence Modeling, De Gruyter, 2016, 4 (1), pp.1-33
	hal-02101647v3 Conference papers Léonard Torossian, Aurélien Garivier, Victor Picheny. X -ARMED BANDITS: OPTIMIZING QUANTILES, CVAR AND OTHER RISKS Asian Conference on Machine Learning, Nov 2019, Nagoya, Japan. pp.252-267
	hal-02006032v3 Journal articles Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier. A REVIEW ON QUANTILE REGRESSION FOR STOCHASTIC COMPUTER EXPERIMENTS Reliability Engineering and System Safety, Elsevier, 2020, 201 (C)
	hal-00959267v3 Journal articles Philippe Besse, Aurélien Garivier, Jean-Michel Loubes. Big Data Analytics - Retour vers le Futur 3; De Statisticien à Data Scientist Ingéniérie des Systèmes d'Information, Lavoisier, 2014, Systèmes d'information et big data, 19 (3), pp.93. ⟨10.3166/isi.19.3.93-105⟩
	hal-01475078v2 Journal articles Pierre Ménard, Aurélien Garivier. A minimax and asymptotically optimal algorithm for stochastic bandits Algorithmic Learning Theory, Springer, 2017, 2017 Algorithmic Learning Theory Conference 76
	hal-01322906v2 Conference papers Aurélien Garivier, Emilie Kaufmann, Tor Lattimore. On Explore-Then-Commit Strategies NIPS, Dec 2016, Barcelona, Spain
	hal-01273842v2 Conference papers Aurélien Garivier, Emilie Kaufmann, Wouter Koolen. Maximin Action Identification: A New Bandit Framework for Games 29th Annual Conference on Learning Theory (COLT), Jun 2016, New-York, United States
	hal-01449822v3 Journal articles Emilie Kaufmann, Aurélien Garivier. Learning the distribution with largest mean: two bandit frameworks ESAIM: Proceedings and Surveys, EDP Sciences, In press, 2017, pp.1 - 10
	hal-01024894v2 Journal articles Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of Best Arm Identification in Multi-Armed Bandit Models Journal of Machine Learning Research, Microtome Publishing, 2016, 17, pp.1-42
	hal-01886699v2 Preprints, Working Papers, ... Philippe Besse, Céline Castets-Renard, Aurélien Garivier, Jean-Michel Loubes. L'IA du Quotidien peut elle être Éthique ? 2018
	hal-02010735v1 Preprints, Working Papers, ... Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier. A Review on Quantile Regression for Stochastic Computer Experiments 2019
	hal-00990254v2 Conference papers Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of A/B Testing Conference on Learning Theory, Jun 2014, Barcelona, Spain. pp.461-481
	hal-01544701v1 Preprints, Working Papers, ... Philippe Besse, Céline Castets-Renard, Aurélien Garivier. Loyauté des Décisions Algorithmiques 2017
	hal-01273838v2 Conference papers Aurélien Garivier, Emilie Kaufmann. Optimal Best Arm Identification with Fixed Confidence 29th Annual Conference on Learning Theory (COLT), Jun 2016, New York, United States
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