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hal-01822524v1  Conference papers
Grégoire JauvionNicolas GrislainPascal Sielenou DkengneAurélien GarivierSébastien 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 AbrahamJérémie BettinelliGwendal ColletIgor KortchemskiAurélien Garivier. Random maps
Journées MAS 2014, Aug 2014, Toulouse, France. pp.133--149, ⟨10.1051/proc/201551008⟩
hal-01671320v1  Conference papers
Jonathan LouëdecMax ChevalierAurélien GarivierJosiane 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 LouëdecMax ChevalierAurélien GarivierJosiane 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 LouëdecMax ChevalierJosiane MotheAurélien GarivierSébastien 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-00738209v2  Journal articles
Olivier CappéAurélien GarivierOdalric-Ambrym MaillardRémi MunosGilles 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 GalvesAurélien GarivierElisabeth Gassiat. Joint estimation of intersecting context tree models
Scandinavian Journal of Statistics, Wiley, 2012, pp.early view
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-00811860v1  Journal articles
Sébastien BubeckDamien ErnstAurélien 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-02101647v3  Conference papers
Léonard TorossianAurélien GarivierVictor 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
Reliability Engineering and System Safety, Elsevier, 2020, 201 (C)
hal-00959267v3  Journal articles
Philippe BesseAurélien GarivierJean-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 MénardAurélien 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 GarivierEmilie KaufmannTor Lattimore. On Explore-Then-Commit Strategies
NIPS, Dec 2016, Barcelona, Spain
hal-01273842v2  Conference papers
Aurélien GarivierEmilie KaufmannWouter 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 KaufmannAurélien 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 KaufmannOlivier CappéAurélien 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-00990254v2  Conference papers
Emilie KaufmannOlivier CappéAurélien Garivier. On the Complexity of A/B Testing
Conference on Learning Theory, Jun 2014, Barcelona, Spain. pp.461-481
hal-01273838v2  Conference papers
Aurélien GarivierEmilie Kaufmann. Optimal Best Arm Identification with Fixed Confidence
29th Annual Conference on Learning Theory (COLT), Jun 2016, New York, United States