Aurélien Garivier

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 66

Top Topics

Bandit Problems

Markov Decision Process

Generalized Linear

Top Venues

Publications

Juliette Achddou, Olivier Cappé, Aurélien Garivier
Stochastic Direct Search Methods for Blind Resource Allocation. Trans. Mach. Learn. Res. 2024 (2024)
Élise Crepon, Aurélien Garivier, Wouter M. Koolen
Sequential learning of the Pareto front for multi-objective bandits. AISTATS (2024)
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
Quantum Channel Certification with Incoherent Strategies. CoRR (2023)
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
Quantum Channel Certification with Incoherent Measurements. COLT (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
Private Statistical Estimation of Many Quantiles. ICML (2023)
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
On Adaptivity in Quantum Testing. Trans. Mach. Learn. Res. 2023 (2023)
Alexandre Marthe, Aurélien Garivier, Claire Vernade
Beyond Average Return in Markov Decision Processes. NeurIPS (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
About the Cost of Central Privacy in Density Estimation. Trans. Mach. Learn. Res. 2023 (2023)
Alexandre Marthe, Aurélien Garivier, Claire Vernade
Beyond Average Return in Markov Decision Processes. CoRR (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. Trans. Mach. Learn. Res. 2023 (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
About the Cost of Global Privacy in Density Estimation. CoRR (2023)
Antoine Barrier, Aurélien Garivier, Gilles Stoltz
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. ALT (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
Private Statistical Estimation of Many Quantiles. CoRR (2023)
Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval
Private Quantiles Estimation in the Presence of Atoms. CoRR (2022)
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
Sequential algorithms for testing identity and closeness of distributions. CoRR (2022)
Antoine Barrier, Aurélien Garivier, Gilles Stoltz
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. CoRR (2022)
Aymen Al Marjani, Tomás Kocák, Aurélien Garivier
On the complexity of All ε-Best Arms Identification. CoRR (2022)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. CoRR (2022)
Juliette Achddou, Olivier Cappé, Aurélien Garivier
Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation. CoRR (2022)
Antoine Barrier, Aurélien Garivier, Tomás Kocák
A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits. AISTATS (2022)
Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints. J. Mach. Learn. Res. 23 (2022)
Aymen Al Marjani, Tomás Kocák, Aurélien Garivier
On the Complexity of All ε-Best Arms Identification. ECML/PKDD (4) (2022)
Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière
Navigating to the Best Policy in Markov Decision Processes. CoRR (2021)
Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. AISTATS (2021)
Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen
A/B/n Testing with Control in the Presence of Subpopulations. CoRR (2021)
Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen
A/B/n Testing with Control in the Presence of Subpopulations. NeurIPS (2021)
Juliette Achddou, Olivier Cappé, Aurélien Garivier
Efficient Algorithms for Stochastic Repeated Second-price Auctions. ALT (2021)
Juliette Achddou, Olivier Cappé, Aurélien Garivier
Fast Rate Learning in Stochastic First Price Bidding. ACML (2021)
Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière
Navigating to the Best Policy in Markov Decision Processes. NeurIPS (2021)
Tomás Kocák, Aurélien Garivier
Epsilon Best Arm Identification in Spectral Bandits. IJCAI (2021)
Juliette Achddou, Olivier Cappé, Aurélien Garivier
Fast Rate Learning in Stochastic First Price Bidding. CoRR (2021)
Aadil Oufkir, Omar Fawzi, Nicolas Flammarion, Aurélien Garivier
Sequential Algorithms for Testing Closeness of Distributions. NeurIPS (2021)
Tomás Kocák, Aurélien Garivier
Best Arm Identification in Spectral Bandits. CoRR (2020)
Tomás Kocák, Aurélien Garivier
Best Arm Identification in Spectral Bandits. IJCAI (2020)
Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. CoRR (2020)
Juliette Achddou, Olivier Cappé, Aurélien Garivier
Efficient Algorithms for Stochastic Repeated Second-price Auctions. CoRR (2020)
Yoan Russac, Olivier Cappé, Aurélien Garivier
Algorithms for Non-Stationary Generalized Linear Bandits. CoRR (2020)
Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier
A review on quantile regression for stochastic computer experiments. Reliab. Eng. Syst. Saf. 201 (2020)
Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. Algorithms 13 (9) (2020)
Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. CoRR (2020)
Léonard Torossian, Aurélien Garivier, Victor Picheny
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. ACML (2019)
Léonard Torossian, Aurélien Garivier, Victor Picheny
X-Armed Bandits: Optimizing Quantiles and Other Risks. CoRR (2019)
Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier
A Review on Quantile Regression for Stochastic Computer Experiments. CoRR (2019)
Aurélien Garivier, Pierre Ménard, Gilles Stoltz
Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. Math. Oper. Res. 44 (2) (2019)
Aurélien Garivier, Satyen Kale
Algorithmic Learning Theory 2019: Preface. ALT (2019)
Mastane Achab, Stéphan Clémençon, Aurélien Garivier
Profitable Bandits. CoRR (2018)
Mastane Achab, Stéphan Clémençon, Aurélien Garivier
Profitable Bandits. ACML (2018)
Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. CoRR (2018)
Philippe C. Besse, Céline Castets-Renard, Aurélien Garivier, Jean-Michel Loubes
Can everyday AI be ethical. Fairness of Machine Learning Algorithms. CoRR (2018)
Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. KDD (2018)
Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. NeurIPS (2018)
Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz
KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints. CoRR (2018)
Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. CoRR (2018)
Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. ECML/PKDD (2) (2017)
Pierre Ménard, Aurélien Garivier
A minimax and asymptotically optimal algorithm for stochastic bandits. ALT (2017)
Pierre Ménard, Aurélien Garivier
A minimax and asymptotically optimal algorithm for stochastic bandits. CoRR (2017)
Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
Max K-armed bandit: On the ExtremeHunter algorithm and beyond. CoRR (2017)
Emilie Kaufmann, Aurélien Garivier
Learning the distribution with largest mean: two bandit frameworks. CoRR (2017)
Aurélien Garivier, Pierre Ménard, Gilles Stoltz
Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. CoRR (2016)
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models. J. Mach. Learn. Res. 17 (2016)
Aurélien Garivier, Tor Lattimore, Emilie Kaufmann
On Explore-Then-Commit strategies. NIPS (2016)
Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen
Maximin Action Identification: A New Bandit Framework for Games. COLT (2016)
Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen
Maximin Action Identification: A New Bandit Framework for Games. CoRR (2016)
Aurélien Garivier, Emilie Kaufmann, Tor Lattimore
On Explore-Then-Commit Strategies. CoRR (2016)
Aurélien Garivier, Emilie Kaufmann
Optimal Best Arm Identification with Fixed Confidence. COLT (2016)
Aurélien Garivier, Emilie Kaufmann
Optimal Best Arm Identification with Fixed Confidence. CoRR (2016)
Aurélien Garivier
Perfect simulation of processes with long memory: A "coupling into and from the past" algorithm. Random Struct. Algorithms 46 (2) (2015)
Jonathan Louëdec, Max Chevalier, Josiane Mothe, Aurélien Garivier, Sébastien Gerchinovitz
A Multiple-Play Bandit Algorithm Applied to Recommender Systems. FLAIRS Conference (2015)
Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe
Algorithmes de bandits pour la recommandation à tirages multiples. Document Numérique 18 (2-3) (2015)
Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe
Algorithmes de bandit pour les systèmes de recommandation : le cas de multiples recommandations simultanées. CORIA (2015)
Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes
Big data analytics - Retour vers le futur 3. De statisticien à data scientist. Ingénierie des Systèmes d Inf. 19 (3) (2014)
Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes
Big Data - Retour vers le Futur 3; De Statisticien à Data Scientist. CoRR (2014)
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models. CoRR (2014)
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Complexity of A/B Testing. COLT (2014)
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Complexity of A/B Testing. CoRR (2014)
Aurélien Garivier
Informational confidence bounds for self-normalized averages and applications. ITW (2013)
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality. J. Mach. Learn. Res. 14 (1) (2013)
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality CoRR (2012)
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal discovery with probabilistic expert advice. CDC (2012)
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On Bayesian Upper Confidence Bounds for Bandit Problems. AISTATS (2012)
Aurélien Garivier, Olivier Cappé
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond. COLT (2011)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE J. Sel. Top. Signal Process. 5 (1) (2011)
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal discovery with probabilistic expert advice CoRR (2011)
Aurélien Garivier, Olivier Cappé
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond CoRR (2011)
Aurélien Garivier
A Propp-Wilson perfect simulation scheme for processes with long memory CoRR (2011)
Aurélien Garivier, Eric Moulines
On Upper-Confidence Bound Policies for Switching Bandit Problems. ALT (2011)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Optimism in reinforcement learning and Kullback-Leibler divergence. Allerton (2010)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence CoRR (2010)
Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári
Parametric Bandits: The Generalized Linear Case. NIPS (2010)
Steffen Barembruch, Aurélien Garivier, Eric Moulines
On approximate maximum-likelihood methods for blind identification: how to cope with the curse of dimensionality. IEEE Trans. Signal Process. 57 (11) (2009)
Sarah Filippi, Olivier Cappé, Aurélien Garivier
Regret Bounds for Opportunistic Channel Access CoRR (2009)
Aurélien Garivier
A Lower-Bound for the Maximin Redundancy in Pattern Coding. Entropy 11 (4) (2009)
Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat
Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory 55 (1) (2009)
Aurélien Garivier
Consistency of the Unlimited BIC Context Tree Estimator. IEEE Trans. Inf. Theory 52 (10) (2006)
Aurélien Garivier
Redundancy of the Context-Tree Weighting Method on Renewal and Markov Renewal Processes. IEEE Trans. Inf. Theory 52 (12) (2006)
Mark R. Greenstreet, Anthony Winstanley, Aurélien Garivier
An Event Spacing Experiment. ASYNC (2002)