Aurélien Garivier

102 papers A* 14A 4B 7C 3Misc 1Journal 65Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EVaR-Optimal Arm Identification in Bandits. CoRR Mehrasa Ahmadipour, Aurélien Garivier
2025	J	`jnl`	Efficient Risk-sensitive Planning via Entropic Risk Measures. CoRR Alexandre Marthe, Samuel Bounan, Aurélien Garivier, Claire Vernade
2025	J	`jnl`	Identifying the Best Transition Law. CoRR Mehrasa Ahmadipour, Élise Crepon, Aurélien Garivier
2025	J	`jnl`	On Sparsity and Sub-Gaussianity in the Johnson- Lindenstrauss Lemma. Trans. Mach. Learn. Res. Aurélien Garivier, Emmanuel Pilliat
2025	J	`jnl`	Sequential Learning of the Pareto Front for Multi-objective Bandits. CoRR Élise Crepon, Aurélien Garivier, Wouter M. Koolen
2024	A	`conf`	Sequential learning of the Pareto front for multi-objective bandits. AISTATS Élise Crepon, Aurélien Garivier, Wouter M. Koolen
2024	J	`jnl`	Stochastic Direct Search Methods for Blind Resource Allocation. Trans. Mach. Learn. Res. Juliette Achddou, Olivier Cappé, Aurélien Garivier
2023	J	`jnl`	About the Cost of Central Privacy in Density Estimation. Trans. Mach. Learn. Res. Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	J	`jnl`	About the Cost of Global Privacy in Density Estimation. CoRR Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	A*	`conf`	Beyond Average Return in Markov Decision Processes. NeurIPS Alexandre Marthe, Aurélien Garivier, Claire Vernade
2023	J	`jnl`	Beyond Average Return in Markov Decision Processes. CoRR Alexandre Marthe, Aurélien Garivier, Claire Vernade
2023	J	`jnl`	On Adaptivity in Quantum Testing. Trans. Mach. Learn. Res. Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
2023	B	`conf`	On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. ALT Antoine Barrier, Aurélien Garivier, Gilles Stoltz
2023	J	`jnl`	On the Statistical Complexity of Estimation and Testing under Privacy Constraints. Trans. Mach. Learn. Res. Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	A*	`conf`	Private Statistical Estimation of Many Quantiles. ICML Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	J	`jnl`	Private Statistical Estimation of Many Quantiles. CoRR Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	A*	`conf`	Quantum Channel Certification with Incoherent Measurements. COLT Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
2023	J	`jnl`	Quantum Channel Certification with Incoherent Strategies. CoRR Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
2022	A	`conf`	A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits. AISTATS Antoine Barrier, Aurélien Garivier, Tomás Kocák
2022	J	`jnl`	KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints. J. Mach. Learn. Res. Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz
2022	J	`jnl`	On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. CoRR Antoine Barrier, Aurélien Garivier, Gilles Stoltz
2022	—	`conf`	On the Complexity of All ε-Best Arms Identification. ECML/PKDD (4) Aymen Al Marjani, Tomás Kocák, Aurélien Garivier
2022	J	`jnl`	On the Statistical Complexity of Estimation and Testing under Privacy Constraints. CoRR Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2022	J	`jnl`	On the complexity of All ε-Best Arms Identification. CoRR Aymen Al Marjani, Tomás Kocák, Aurélien Garivier
2022	J	`jnl`	Private Quantiles Estimation in the Presence of Atoms. CoRR Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval
2022	J	`jnl`	Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation. CoRR Juliette Achddou, Olivier Cappé, Aurélien Garivier
2022	J	`jnl`	Sequential algorithms for testing identity and closeness of distributions. CoRR Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
2021	A*	`conf`	A/B/n Testing with Control in the Presence of Subpopulations. NeurIPS Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen
2021	J	`jnl`	A/B/n Testing with Control in the Presence of Subpopulations. CoRR Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen
2021	B	`conf`	Efficient Algorithms for Stochastic Repeated Second-price Auctions. ALT Juliette Achddou, Olivier Cappé, Aurélien Garivier
2021	A*	`conf`	Epsilon Best Arm Identification in Spectral Bandits. IJCAI Tomás Kocák, Aurélien Garivier
2021	C	`conf`	Fast Rate Learning in Stochastic First Price Bidding. ACML Juliette Achddou, Olivier Cappé, Aurélien Garivier
2021	J	`jnl`	Fast Rate Learning in Stochastic First Price Bidding. CoRR Juliette Achddou, Olivier Cappé, Aurélien Garivier
2021	A*	`conf`	Navigating to the Best Policy in Markov Decision Processes. NeurIPS Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière
2021	J	`jnl`	Navigating to the Best Policy in Markov Decision Processes. CoRR Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière
2021	A	`conf`	Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. AISTATS Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
2021	A*	`conf`	Sequential Algorithms for Testing Closeness of Distributions. NeurIPS Aadil Oufkir, Omar Fawzi, Nicolas Flammarion, Aurélien Garivier
2020	J	`jnl`	A review on quantile regression for stochastic computer experiments. Reliab. Eng. Syst. Saf. Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier
2020	J	`jnl`	Algorithms for Non-Stationary Generalized Linear Bandits. CoRR Yoan Russac, Olivier Cappé, Aurélien Garivier
2020	A*	`conf`	Best Arm Identification in Spectral Bandits. IJCAI Tomás Kocák, Aurélien Garivier
2020	J	`jnl`	Best Arm Identification in Spectral Bandits. CoRR Tomás Kocák, Aurélien Garivier
2020	J	`jnl`	Efficient Algorithms for Stochastic Repeated Second-price Auctions. CoRR Juliette Achddou, Olivier Cappé, Aurélien Garivier
2020	J	`jnl`	Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. Algorithms Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
2020	J	`jnl`	Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening. CoRR Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier, Amaury Habrard
2020	J	`jnl`	Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. CoRR Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
2019	C	`conf`	$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. ACML Léonard Torossian, Aurélien Garivier, Victor Picheny
2019	J	`jnl`	A Review on Quantile Regression for Stochastic Computer Experiments. CoRR Léonard Torossian, Victor Picheny, Robert Faivre, Aurélien Garivier
2019	B	`conf`	Algorithmic Learning Theory 2019: Preface. ALT Aurélien Garivier, Satyen Kale
2019	B	`ed.`	Algorithmic Learning Theory, ALT 2019, 22-24 March 2019, Chicago, Illinois, USA. ALT Aurélien Garivier, Satyen Kale
2019	J	`jnl`	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. Math. Oper. Res. Aurélien Garivier, Pierre Ménard, Gilles Stoltz
2019	J	`jnl`	X-Armed Bandits: Optimizing Quantiles and Other Risks. CoRR Léonard Torossian, Aurélien Garivier, Victor Picheny
2018	J	`jnl`	Can everyday AI be ethical. Fairness of Machine Learning Algorithms. CoRR Philippe C. Besse, Céline Castets-Renard, Aurélien Garivier, Jean-Michel Loubes
2018	J	`jnl`	KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints. CoRR Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz
2018	A*	`conf`	Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. KDD Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
2018	J	`jnl`	Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. CoRR Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz
2018	C	`conf`	Profitable Bandits. ACML Mastane Achab, Stéphan Clémençon, Aurélien Garivier
2018	J	`jnl`	Profitable Bandits. CoRR Mastane Achab, Stéphan Clémençon, Aurélien Garivier
2018	A*	`conf`	Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. NeurIPS Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
2018	J	`jnl`	Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. CoRR Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
2017	B	`conf`	A minimax and asymptotically optimal algorithm for stochastic bandits. ALT Pierre Ménard, Aurélien Garivier
2017	J	`jnl`	A minimax and asymptotically optimal algorithm for stochastic bandits. CoRR Pierre Ménard, Aurélien Garivier
2017	J	`jnl`	Learning the distribution with largest mean: two bandit frameworks. CoRR Emilie Kaufmann, Aurélien Garivier
2017	—	`conf`	Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. ECML/PKDD (2) Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
2017	J	`jnl`	Max K-armed bandit: On the ExtremeHunter algorithm and beyond. CoRR Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
2016	J	`jnl`	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. CoRR Aurélien Garivier, Pierre Ménard, Gilles Stoltz
2016	A*	`conf`	Maximin Action Identification: A New Bandit Framework for Games. COLT Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen
2016	J	`jnl`	Maximin Action Identification: A New Bandit Framework for Games. CoRR Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen
2016	J	`jnl`	On Explore-Then-Commit Strategies. CoRR Aurélien Garivier, Emilie Kaufmann, Tor Lattimore
2016	—	`conf`	On Explore-Then-Commit strategies. NIPS Aurélien Garivier, Tor Lattimore, Emilie Kaufmann
2016	J	`jnl`	On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models. J. Mach. Learn. Res. Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2016	A*	`conf`	Optimal Best Arm Identification with Fixed Confidence. COLT Aurélien Garivier, Emilie Kaufmann
2016	J	`jnl`	Optimal Best Arm Identification with Fixed Confidence. CoRR Aurélien Garivier, Emilie Kaufmann
2015	Misc	`conf`	A Multiple-Play Bandit Algorithm Applied to Recommender Systems. FLAIRS Jonathan Louëdec, Max Chevalier, Josiane Mothe, Aurélien Garivier, Sébastien Gerchinovitz
2015	—	`conf`	Algorithmes de bandit pour les systèmes de recommandation : le cas de multiples recommandations simultanées. CORIA Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe
2015	J	`jnl`	Algorithmes de bandits pour la recommandation à tirages multiples. Document Numérique Jonathan Louëdec, Max Chevalier, Aurélien Garivier, Josiane Mothe
2015	J	`jnl`	Perfect simulation of processes with long memory: A "coupling into and from the past" algorithm. Random Struct. Algorithms Aurélien Garivier
2014	J	`jnl`	Big Data - Retour vers le Futur 3; De Statisticien à Data Scientist. CoRR Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes
2014	J	`jnl`	Big data analytics - Retour vers le futur 3. De statisticien à data scientist. Ingénierie des Systèmes d Inf. Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes
2014	A*	`conf`	On the Complexity of A/B Testing. COLT Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2014	J	`jnl`	On the Complexity of A/B Testing. CoRR Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2014	J	`jnl`	On the Complexity of Best Arm Identification in Multi-Armed Bandit Models. CoRR Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2013	B	`conf`	Informational confidence bounds for self-normalized averages and applications. ITW Aurélien Garivier
2013	J	`jnl`	Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality. J. Mach. Learn. Res. Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2012	A	`conf`	On Bayesian Upper Confidence Bounds for Bandit Problems. AISTATS Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
2012	—	`conf`	Optimal discovery with probabilistic expert advice. CDC Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2012	J	`jnl`	Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality CoRR Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2011	J	`jnl`	A Propp-Wilson perfect simulation scheme for processes with long memory CoRR Aurélien Garivier
2011	B	`conf`	On Upper-Confidence Bound Policies for Switching Bandit Problems. ALT Aurélien Garivier, Eric Moulines
2011	J	`jnl`	Optimal discovery with probabilistic expert advice CoRR Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2011	J	`jnl`	Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE J. Sel. Top. Signal Process. Sarah Filippi, Olivier Cappé, Aurélien Garivier
2011	J	`jnl`	The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond CoRR Aurélien Garivier, Olivier Cappé
2011	A*	`conf`	The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond. COLT Aurélien Garivier, Olivier Cappé
2010	J	`jnl`	Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence CoRR Sarah Filippi, Olivier Cappé, Aurélien Garivier
2010	—	`conf`	Optimism in reinforcement learning and Kullback-Leibler divergence. Allerton Sarah Filippi, Olivier Cappé, Aurélien Garivier
2010	—	`conf`	Parametric Bandits: The Generalized Linear Case. NIPS Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári
2009	J	`jnl`	A Lower-Bound for the Maximin Redundancy in Pattern Coding. Entropy Aurélien Garivier
2009	J	`jnl`	Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat
2009	J	`jnl`	On approximate maximum-likelihood methods for blind identification: how to cope with the curse of dimensionality. IEEE Trans. Signal Process. Steffen Barembruch, Aurélien Garivier, Eric Moulines
2009	J	`jnl`	Regret Bounds for Opportunistic Channel Access CoRR Sarah Filippi, Olivier Cappé, Aurélien Garivier
2006	J	`jnl`	Consistency of the Unlimited BIC Context Tree Estimator. IEEE Trans. Inf. Theory Aurélien Garivier
2006	J	`jnl`	Redundancy of the Context-Tree Weighting Method on Renewal and Markov Renewal Processes. IEEE Trans. Inf. Theory Aurélien Garivier
2002	—	`conf`	An Event Spacing Experiment. ASYNC Mark R. Greenstreet, Anthony Winstanley, Aurélien Garivier