Garivier, Aurélien

37 publications

TMLR 2025 On Sparsity and Sub-Gaussianity in the Johnson- Lindenstrauss Lemma Aurélien Garivier, Emmanuel Pilliat

AISTATS 2024 Sequential Learning of the Pareto Front for Multi-Objective Bandits Élise Crepon, Aurélien Garivier, Wouter M Koolen

TMLR 2024 Stochastic Direct Search Methods for Blind Resource Allocation Juliette Achddou, Olivier Cappé, Aurélien Garivier

TMLR 2023 About the Cost of Central Privacy in Density Estimation Clément Lalanne, Aurélien Garivier, Rémi Gribonval

NeurIPS 2023 Beyond Average Return in Markov Decision Processes Alexandre Marthe, Aurélien Garivier, Claire Vernade

TMLR 2023 On Adaptivity in Quantum Testing Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir

ALT 2023 On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits Antoine Barrier, Aurélien Garivier, Gilles Stoltz

TMLR 2023 On the Statistical Complexity of Estimation and Testing Under Privacy Constraints Clément Lalanne, Aurélien Garivier, Rémi Gribonval

ICML 2023 Private Statistical Estimation of Many Quantiles Clément Lalanne, Aurélien Garivier, Rémi Gribonval

COLT 2023 Quantum Channel Certification with Incoherent Measurements Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir

AISTATS 2022 A Non-Asymptotic Approach to Best-Arm Identification for Gaussian Bandits Antoine Barrier, Aurélien Garivier, Tomáš Kocák

JMLR 2022 KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz

ECML-PKDD 2022 On the Complexity of All Ε-Best Arms Identification Aymen Al Marjani, Tomás Kocák, Aurélien Garivier

AISTATS 2021 Self-Concordant Analysis of Generalized Linear Bandits with Forgetting Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier

NeurIPS 2021 A/B/n Testing with Control in the Presence of Subpopulations Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen

ALT 2021 Efficient Algorithms for Stochastic Repeated Second-Price Auctions Juliette Achddou, Olivier Cappé, Aurélien Garivier

IJCAI 2021 Epsilon Best Arm Identification in Spectral Bandits Tomás Kocák, Aurélien Garivier

ACML 2021 Fast Rate Learning in Stochastic First Price Bidding Juliette Achddou, Olivier Cappé, Aurélien Garivier

NeurIPS 2021 Navigating to the Best Policy in Markov Decision Processes Aymen Al Marjani, Aurélien Garivier, Alexandre Proutiere

NeurIPS 2021 Sequential Algorithms for Testing Closeness of Distributions Aadil Oufkir, Omar Fawzi, Nicolas Flammarion, Aurélien Garivier

IJCAI 2020 Best Arm Identification in Spectral Bandits Tomás Kocák, Aurélien Garivier

ACML 2019 $\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks Léonard Torossian, Aurélien Garivier, Victor Picheny

ALT 2019 Algorithmic Learning Theory 2019: Preface Aurélien Garivier, Satyen Kale

ACML 2018 Profitable Bandits Mastane Achab, Stephan Clémençon, Aurélien Garivier

NeurIPS 2018 Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier

ALT 2017 A Minimax and Asymptotically Optimal Algorithm for Stochastic Bandits Pierre Ménard, Aurélien Garivier

ECML-PKDD 2017 Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade

COLT 2016 Maximin Action Identification: A New Bandit Framework for Games Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen

NeurIPS 2016 On Explore-Then-Commit Strategies Aurelien Garivier, Tor Lattimore, Emilie Kaufmann

JMLR 2016 On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

COLT 2016 Optimal Best Arm Identification with Fixed Confidence Aurélien Garivier, Emilie Kaufmann

COLT 2014 On the Complexity of A/B Testing Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

JMLR 2013 Optimal Discovery with Probabilistic Expert Advice: Finite Time Analysis and Macroscopic Optimality Sébastien Bubeck, Damien Ernst, Aurélien Garivier

AISTATS 2012 On Bayesian Upper Confidence Bounds for Bandit Problems Emilie Kaufmann, Olivier Cappe, Aurelien Garivier

ALT 2011 On Upper-Confidence Bound Policies for Switching Bandit Problems Aurélien Garivier, Eric Moulines

COLT 2011 The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond Aurélien Garivier, Olivier Cappé

NeurIPS 2010 Parametric Bandits: The Generalized Linear Case Sarah Filippi, Olivier Cappe, Aurélien Garivier, Csaba Szepesvári