Aurélien Garivier

According to our database, Aurélien Garivier authored at least 68 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stochastic Direct Search Methods for Blind Resource Allocation.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

Trans. Mach. Learn. Res., 2024

Sequential learning of the Pareto front for multi-objective bandits.

Élise Crepon, Aurélien Garivier, Wouter M. Koolen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

About the Cost of Central Privacy in Density Estimation.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Trans. Mach. Learn. Res., 2023

On the Statistical Complexity of Estimation and Testing under Privacy Constraints.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Trans. Mach. Learn. Res., 2023

On Adaptivity in Quantum Testing.

Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir

Trans. Mach. Learn. Res., 2023

About the Cost of Global Privacy in Density Estimation.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

CoRR, 2023

Quantum Channel Certification with Incoherent Strategies.

Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir

CoRR, 2023

Beyond Average Return in Markov Decision Processes.

Alexandre Marthe, Aurélien Garivier, Claire Vernade

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Private Statistical Estimation of Many Quantiles.

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

Proceedings of the International Conference on Machine Learning, 2023

Quantum Channel Certification with Incoherent Measurements.

Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits.

Antoine Barrier, Aurélien Garivier, Gilles Stoltz

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

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

J. Mach. Learn. Res., 2022

Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

CoRR, 2022

Sequential algorithms for testing identity and closeness of distributions.

Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir

CoRR, 2022

Private Quantiles Estimation in the Presence of Atoms.

Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval

CoRR, 2022

On the Complexity of All ε-Best Arms Identification.

Aymen Al Marjani, Tomás Kocák, Aurélien Garivier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits.

Antoine Barrier, Aurélien Garivier, Tomás Kocák

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sequential Algorithms for Testing Closeness of Distributions.

Aadil Oufkir, Omar Fawzi, Nicolas Flammarion, Aurélien Garivier

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Navigating to the Best Policy in Markov Decision Processes.

Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Epsilon Best Arm Identification in Spectral Bandits.

Tomás Kocák, Aurélien Garivier

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Algorithms for Stochastic Repeated Second-price Auctions.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

Proceedings of the Algorithmic Learning Theory, 2021

Self-Concordant Analysis of Generalized Linear Bandits with Forgetting.

Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fast Rate Learning in Stochastic First Price Bidding.

Juliette Achddou, Olivier Cappé, Aurélien Garivier

Proceedings of the Asian Conference on Machine Learning, 2021

2020

A review on quantile regression for stochastic computer experiments.

Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier

Reliab. Eng. Syst. Saf., 2020

Algorithms for Non-Stationary Generalized Linear Bandits.

Yoan Russac, Olivier Cappé, Aurélien Garivier

CoRR, 2020

Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening.

Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard

Algorithms, 2020

Best Arm Identification in Spectral Bandits.

Tomás Kocák, Aurélien Garivier

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Explore First, Exploit Next: The True Shape of Regret in Bandit Problems.

Aurélien Garivier, Pierre Ménard, Gilles Stoltz

Math. Oper. Res., 2019

X-Armed Bandits: Optimizing Quantiles and Other Risks.

Léonard Torossian, Aurélien Garivier, Victor Picheny

CoRR, 2019

Algorithmic Learning Theory 2019: Preface.

Aurélien Garivier, Satyen Kale

Proceedings of the Algorithmic Learning Theory, 2019

$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks.

Léonard Torossian, Aurélien Garivier, Victor Picheny

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Can everyday AI be ethical. Fairness of Machine Learning Algorithms.

Philippe C. Besse, Céline Castets-Renard, Aurélien Garivier, Jean-Michel Loubes

CoRR, 2018

Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling.

Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optimization of a SSP's Header Bidding Strategy using Thompson Sampling.

Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Profitable Bandits.

Mastane Achab, Stéphan Clémençon, Aurélien Garivier

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Learning the distribution with largest mean: two bandit frameworks.

Emilie Kaufmann, Aurélien Garivier

CoRR, 2017

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond.

Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

A minimax and asymptotically optimal algorithm for stochastic bandits.

Pierre Ménard, Aurélien Garivier

Proceedings of the International Conference on Algorithmic Learning Theory, 2017

2016

On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models.

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

J. Mach. Learn. Res., 2016

On Explore-Then-Commit strategies.

Aurélien Garivier, Tor Lattimore, Emilie Kaufmann

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Maximin Action Identification: A New Bandit Framework for Games.

Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen

Proceedings of the 29th Conference on Learning Theory, 2016

Optimal Best Arm Identification with Fixed Confidence.

Aurélien Garivier, Emilie Kaufmann

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Perfect simulation of processes with long memory: A "coupling into and from the past" algorithm.

Aurélien Garivier

Random Struct. Algorithms, 2015

Algorithmes de bandits pour la recommandation à tirages multiples.

Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe

Document Numérique, 2015

A Multiple-Play Bandit Algorithm Applied to Recommender Systems.

Jonathan Louëdec, Max Chevalier, Josiane Mothe, Aurélien Garivier, Sébastien Gerchinovitz

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Algorithmes de bandit pour les systèmes de recommandation : le cas de multiples recommandations simultanées.

Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe

Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

2014

Big data analytics - Retour vers le futur 3. De statisticien à data scientist.

Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes

Ingénierie des Systèmes d Inf., 2014

Big Data - Retour vers le Futur 3; De Statisticien à Data Scientist.

Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes

CoRR, 2014

On the Complexity of A/B Testing.

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality.

Sébastien Bubeck, Damien Ernst, Aurélien Garivier

J. Mach. Learn. Res., 2013

Informational confidence bounds for self-normalized averages and applications.

Aurélien Garivier

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

2012

On Bayesian Upper Confidence Bounds for Bandit Problems.

Emilie Kaufmann, Olivier Cappé, Aurélien Garivier

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimal discovery with probabilistic expert advice.

Sébastien Bubeck, Damien Ernst, Aurélien Garivier

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds.

Sarah Filippi, Olivier Cappé, Aurélien Garivier

IEEE J. Sel. Top. Signal Process., 2011

The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond.

Aurélien Garivier, Olivier Cappé

Proceedings of the COLT 2011, 2011

A Propp-Wilson perfect simulation scheme for processes with long memory

Aurélien Garivier

CoRR, 2011

On Upper-Confidence Bound Policies for Switching Bandit Problems.

Aurélien Garivier, Eric Moulines

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence

Sarah Filippi, Olivier Cappé, Aurélien Garivier

CoRR, 2010

Parametric Bandits: The Generalized Linear Case.

Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Optimism in reinforcement learning and Kullback-Leibler divergence.

Sarah Filippi, Olivier Cappé, Aurélien Garivier

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

On approximate maximum-likelihood methods for blind identification: how to cope with the curse of dimensionality.

Steffen Barembruch, Aurélien Garivier, Eric Moulines

IEEE Trans. Signal Process., 2009

Coding on Countably Infinite Alphabets.

Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat

IEEE Trans. Inf. Theory, 2009

A Lower-Bound for the Maximin Redundancy in Pattern Coding.

Aurélien Garivier

Entropy, 2009

Regret Bounds for Opportunistic Channel Access

Sarah Filippi, Olivier Cappé, Aurélien Garivier

CoRR, 2009

2006

Redundancy of the Context-Tree Weighting Method on Renewal and Markov Renewal Processes.

Aurélien Garivier

IEEE Trans. Inf. Theory, 2006

Consistency of the Unlimited BIC Context Tree Estimator.

Aurélien Garivier

IEEE Trans. Inf. Theory, 2006

2002

An Event Spacing Experiment.

Mark R. Greenstreet, Anthony Winstanley, Aurélien Garivier

Proceedings of the 8th International Symposium on Advanced Research in Asynchronous Circuits and Systems (ASYNC 2002), 2002