Aurélien Garivier

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All published works

Action	Title	Year	Authors
+	On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma	2024	Aurélien Garivier Emmanuel Pilliat
+ PDF Chat	About the Cost of Global Privacy in Density Estimation	2023	Clément Lalanne Aurélien Garivier Rémi Gribonval
+ PDF Chat	Private quantiles estimation in the presence of atoms	2023	Clément Lalanne Clément Gastaud Nicolas Grislain Aurélien Garivier Rémi Gribonval
+ PDF Chat	On the Statistical Complexity of Estimation and Testing under Privacy Constraints	2023	Clément Lalanne Aurélien Garivier Rémi Gribonval
+ PDF Chat	On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits	2023	Antoine Barrier Aurélien Garivier Gilles Stoltz
+	Private Statistical Estimation of Many Quantiles	2023	Clément Lalanne Aurélien Garivier Rémi Gribonval
+ PDF Chat	On the Complexity of All $$\varepsilon $$-Best Arms Identification	2023	Aymen Al Marjani Tomas Kocak Aurélien Garivier
+	Quantum Channel Certification with Incoherent Strategies	2023	Omar Fawzi Nicolas Flammarion Aurélien Garivier Aadil Oufkir
+	About the Cost of Central Privacy in Density Estimation	2023	Clément Lalanne Aurélien Garivier Rémi Gribonval
+	Beyond Average Return in Markov Decision Processes	2023	Alexandre Marthe Aurélien Garivier Claire Vernade
+ PDF Chat	Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation	2022	Juliette Achddou Olivier Cappé Aurélien Garivier
+ PDF Chat	A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits	2022	Antoine Barrier Aurélien Garivier Tomáš Kocák
+ PDF Chat	KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints	2022	Aurélien Garivier Hédi Hadiji Pierre Ménard Gilles Stoltz
+	On the complexity of All $\varepsilon$-Best Arms Identification	2022	Aymen Al Marjani Tomáš Kocák Aurélien Garivier
+	Private Quantiles Estimation in the Presence of Atoms	2022	Clément Lalanne Clément Gastaud Nicolas Grislain Aurélien Garivier Rémi Gribonval
+	Sequential algorithms for testing identity and closeness of distributions	2022	Omar Fawzi Nicolas Flammarion Aurélien Garivier Aadil Oufkir
+	On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits	2022	Antoine Barrier Aurélien Garivier Gilles Stoltz
+	On the Statistical Complexity of Estimation and Testing under Privacy Constraints	2022	Clément Lalanne Aurélien Garivier Rémi Gribonval
+	Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation	2022	Juliette Achddou Olivier Cappé Aurélien Garivier
+ PDF Chat	Sequential Algorithms for Testing Closeness of Distributions	2021	Aadil Oufkir Omar Fawzi Nicolas Flammarion Aurélien Garivier
+ PDF Chat	Non-Asymptotic Sequential Tests for Overlapping Hypotheses and application to near optimal arm identification in bandit models	2021	Aurélien Garivier Emilie Kaufmann
+	Navigating to the Best Policy in Markov Decision Processes	2021	Aymen Al Marjani Aurélien Garivier Alexandre Proutière
+	Fast Rate Learning in Stochastic First Price Bidding	2021	Juliette Achddou Olivier Cappé Aurélien Garivier
+	A/B/n Testing with Control in the Presence of Subpopulations	2021	Yoan Russac Christina Katsimerou Dennis Bohle Olivier Cappé Aurélien Garivier Wouter M. Koolen
+	A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits	2021	Antoine Barrier Aurélien Garivier Tomáš Kocák
+ PDF Chat	Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening	2020	Louis Béthune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard
+ PDF Chat	Best Arm Identification in Spectral Bandits	2020	Tomáš Kocák Aurélien Garivier
+	Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening	2020	Louis Béthune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard
+	Best Arm Identification in Spectral Bandits	2020	Tomáš Kocák Aurélien Garivier
+ PDF Chat	A review on quantile regression for stochastic computer experiments	2020	Léonard Torossian Victor Picheny Robert Faivre Aurélien Garivier
+ PDF Chat	A note on perfect simulation for Exponential Random Graph Models	2020	Andressa Cerqueira Aurélien Garivier Florencia Leonardi
+	Algorithms for Non-Stationary Generalized Linear Bandits	2020	Yoan Russac Olivier Cappé Aurélien Garivier
+	Self-Concordant Analysis of Generalized Linear Bandits with Forgetting	2020	Yoan Russac Louis Faury Olivier Cappé Aurélien Garivier
+	Efficient Algorithms for Stochastic Repeated Second-price Auctions	2020	Juliette Achddou Olivier Cappé Aurélien Garivier
+	Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening	2020	Louis Béthune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard
+	Best Arm Identification in Spectral Bandits	2020	Tomáš Kocák Aurélien Garivier
+ PDF Chat	Conditional Quantile Sequential Estimation for Stochastic Codes	2019	Tatiana Labopin-Richard Fabrice Gamboa Aurélien Garivier Jérôme Stenger
+	X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks	2019	Léonard Torossian Aurélien Garivier Victor Picheny
+	Non-Asymptotic Sequential Tests for Overlapping Hypotheses and application to near optimal arm identification in bandit models	2019	Aurélien Garivier Emilie Kaufmann
+ PDF Chat	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems	2018	Aurélien Garivier Pierre Ménard Gilles Stoltz
+ PDF Chat	Optimization of a SSP's Header Bidding Strategy using Thompson Sampling	2018	Grégoire Jauvion Nicolas Grislain Pascal Dkengne Sielenou Aurélien Garivier Sébastien Gerchinovitz
+	Profitable Bandits.	2018	Mastane Achab Stéphan Clémençon Aurélien Garivier
+	Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling	2018	Emilie Kaufmann Wouter M. Koolen Aurélien Garivier
+	Can everyday AI be ethical. Fairness of Machine Learning Algorithms	2018	Philippe Besse Céline Castets-Renard Aurélien Garivier Jean–Michel Loubes
+	Profitable Bandits	2018	Mastane Achab Stéphan Clémençon Aurélien Garivier
+	KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints	2018	Aurélien Garivier Hédi Hadiji Pierre Ménard Gilles Stoltz
+ PDF Chat	Profitable Bandits	2018	Mastane Achab Stéphan Clémençon Aurélien Garivier
+ PDF Chat	Profitable Bandits	2018	Mastane Achab Stéphan Clémençon Aurélien Garivier
+ PDF Chat	Profitable Bandits	2018	Mastane Achab Stéphan Clémençon Aurélien Garivier
+ PDF Chat	Profitable Bandits	2018	Mastane Achab Stéphan Clémençon Aurélien Garivier
+	A note on perfect simulation for exponential random graph models	2017	Andressa Cerqueira Aurélien Garivier Florencia Leonardi
+	Learning the distribution with largest mean: two bandit frameworks	2017	Emilie Kaufmann Aurélien Garivier
+ PDF Chat	Learning the distribution with largest mean: two bandit frameworks	2017	Emilie Kaufmann Aurélien Garivier
+	A minimax and asymptotically optimal algorithm for stochastic bandits	2017	Pierre Ménard Aurélien Garivier
+ PDF Chat	Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond	2017	Mastane Achab Stéphan Clémençon Aurélien Garivier Anne Sabourin Claire Vernade
+	Thresholding Bandit for Dose-ranging: The Impact of Monotonicity	2017	Aurélien Garivier Pierre Ménard Laurent Rossi
+	A note on perfect simulation for exponential random graph models	2017	Andressa Cerqueira Aurélien Garivier Florencia Leonardi
+	Learning the distribution with largest mean: two bandit frameworks	2017	Emilie Kaufmann Aurélien Garivier
+ PDF Chat	On Explore-Then-Commit Strategies	2016	Aurélien Garivier Emilie Kaufmann Tor Lattimore
+ PDF Chat	Bregman superquantiles. Estimation methods and applications	2016	Tatiana Labopin-Richard Fabrice Gamboa Aurélien Garivier Bertrand Iooss
+	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems	2016	Aurélien Garivier Pierre Ménard Gilles Stoltz
+	Maximin Action Identification: A New Bandit Framework for Games	2016	Aurélien Garivier Emilie Kaufmann Wouter M. Koolen
+ PDF Chat	Bregman superquantiles. Estimation methods and applications.	2016	Tatiana Labopin-Richard Fabrice Gamboa Aurélien Garivier Bertrand Iooss
+	Optimal Best Arm Identification with Fixed Confidence	2016	Aurélien Garivier Emilie Kaufmann
+	On Explore-Then-Commit Strategies	2016	Aurélien Garivier Emilie Kaufmann Tor Lattimore
+	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems	2016	Aurélien Garivier Pierre Ménard Gilles Stoltz
+ PDF Chat	Random maps	2015	Céline Abraham Jérémie Bettinelli Gwendal Collet Igor Kortchemski Aurélien Garivier
+ PDF Chat	Big data analytics – Retour vers le futur 3. De statisticien à data scientist	2014	Philippe Besse Aurélien Garivier Jean–Michel Loubes
+	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+ PDF Chat	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+ PDF Chat	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+ PDF Chat	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+ PDF Chat	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+ PDF Chat	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+ PDF Chat	Perfect simulation of processes with long memory: A “coupling into and from the past” algorithm	2014	Aurélien Garivier
+	Big Data Analytics - Retour vers le Futur 3; De Statisticien \`a Data Scientist	2014	Philippe Besse Aurélien Garivier Jean–Michel Loubes
+	Big Data - Retour vers le Futur - 3 - De Statisticien à Data Scientist	2014	Philippe Besse Aurélien Garivier Jean–Michel Loubes
+	On the Complexity of Best Arm Identification in Multi-Armed Bandit Models	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier
+	Big Data Analytics - Retour vers le Futur 3; De Statisticien à Data Scientist	2014	Philippe Besse Aurélien Garivier Jean–Michel Loubes
+ PDF Chat	Informational confidence bounds for self-normalized averages and applications	2013	Aurélien Garivier
+	Kullback–Leibler upper confidence bounds for optimal sequential allocation	2013	Olivier Cappé Aurélien Garivier Odalric-Ambrym Maillard Rémi Munos Gilles Stoltz
+ PDF Chat	Joint Estimation of Intersecting Context Tree Models	2012	Antonio Galves Aurélien Garivier Élisabeth Gassiat
+ PDF Chat	Optimal discovery with probabilistic expert advice	2012	Sébastien Bubeck Damien Ernst Aurélien Garivier
+	Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality	2012	Sébastien Bubeck Damien Ernst Aurélien Garivier
+	Sequential Monte Carlo smoothing for general state space hidden Markov models	2011	Randal Douc Aurélien Garivier Éric Moulines Jimmy Olsson
+	Optimal discovery with probabilistic expert advice	2011	Sébastien Bubeck Damien Ernst Aurélien Garivier
+	Context tree selection: A unifying view	2011	Aurélien Garivier Florencia Leonardi
+	Perfect Simulation Of Processes With Long Memory: A `Coupling Into And From The Past' Algorithm	2011	Aurélien Garivier
+	A Propp-Wilson perfect simulation scheme for processes with long memory	2011	Aurélien Garivier
+	The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond	2011	Aurélien Garivier Olivier Cappé
+	Oracle approach and slope heuristic in context tree estimation	2011	Aurélien Garivier Matthieu Lerasle
+	The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond	2011	Aurélien Garivier Olivier Cappé
+	Perfect Simulation Of Processes With Long Memory: A `Coupling Into And From The Past' Algorithm	2011	Aurélien Garivier
+	Optimal discovery with probabilistic expert advice	2011	Sébastien Bubeck Damien Ernst Aurélien Garivier
+	Context Tree Selection: A Unifying View	2010	Aurélien Garivier Florencia Leonardi
+ PDF Chat	Optimism in reinforcement learning and Kullback-Leibler divergence	2010	Sarah Filippi Olivier Cappé Aurélien Garivier
+	Context Tree Selection: A Unifying View	2010	Aurélien Garivier Florencia Leonardi
+	Pseudo-regenerative block-bootstrap for hidden Markov chains	2009	Stephan Clémençon Aurélien Garivier Jessica Tressou
+	On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality	2009	Steffen Barembruch Aurélien Garivier Éric Moulines
+	Regret Bounds for Opportunistic Channel Access	2009	Sarah Filippi Olivier Cappé Aurélien Garivier
+	On the Forward Filtering Backward Smoothing particle approximations of the smoothing distribution in general state spaces models	2009	Randal Douc Aurélien Garivier Éric Moulines Jimmy Olsson
+ PDF Chat	Coding on Countably Infinite Alphabets	2009	Stéphane Boucheron Aurélien Garivier Élisabeth Gassiat
+	A minimum description length approach to hidden Markov models with Poisson and Gaussian emissions. Application to order identification	2008	Antoine Chambaz Aurélien Garivier Élisabeth Gassiat
+ PDF Chat	On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems	2008	Aurélien Garivier Éric Moulines
+	On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems	2008	Aurélien Garivier Éric Moulines

Common Coauthors

Coauthor	Papers Together
Olivier Cappé	22
Emilie Kaufmann	20
Gilles Stoltz	8
Stéphan Clémençon	8
Pierre Ménard	7
Rémi Gribonval	7
Mastane Achab	7
Clément Lalanne	6
Florencia Leonardi	6
Tomáš Kocák	6
Éric Moulines	5
Jean–Michel Loubes	5
Philippe Besse	5
Juliette Achddou	4
Sébastien Bubeck	4
Nicolas Flammarion	3
Tatiana Labopin-Richard	3
Louis Béthune	3
Pierre Borgnat	3
Wouter M. Koolen	3
Aymen Al Marjani	3
Yacouba Kaloga	3
Damien Ernst	3
Yoan Russac	3
Omar Fawzi	3
Andressa Cerqueira	3
Amaury Habrard	3
Aadil Oufkir	3
Nicolas Grislain	3
Fabrice Gamboa	3
Clément Gastaud	2
Sarah Filippi	2
Victor Picheny	2
Jimmy Olsson	2
Tor Lattimore	2
Antoine Barrier	2
Bertrand Iooss	2
Léonard Torossian	2
Randal Douc	2
Antoine Barrier	2
Claire Vernade	2
Hédi Hadiji	2
Élisabeth Gassiat	2
Céline Castets-Renard	1
Stéphane Boucheron	1
Pascal Dkengne Sielenou	1
Céline Abraham	1
Robert Faivre	1
Anne Sabourin	1
Alexandre Proutière	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Kullback–Leibler upper confidence bounds for optimal sequential allocation	2013	Olivier Cappé Aurélien Garivier Odalric-Ambrym Maillard Rémi Munos Gilles Stoltz	18
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck Nicolò Cesa‐Bianchi	11
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	11
+	The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond	2011	Aurélien Garivier Olivier Cappé	8
+	Optimal Adaptive Policies for Sequential Allocation Problems	1996	Apostolos Burnetas Michael N. Katehakis	7
+ PDF Chat	Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis	2012	Emilie Kaufmann Nathaniel Korda Rémi Munos	7
+ PDF Chat	Context tree selection and linguistic rhythm retrieval from written texts	2012	Antonio Galves Charlotte Galves Jesús E. Garćıa Nancy L. Garcia Florencia Leonardi	7
+	Context tree selection: A unifying view	2011	Aurélien Garivier Florencia Leonardi	7
+	Some aspects of the sequential design of experiments	1952	Herbert Robbins	7
+ PDF Chat	Optimism in reinforcement learning and Kullback-Leibler divergence	2010	Sarah Filippi Olivier Cappé Aurélien Garivier	6
+ PDF Chat	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems	2018	Aurélien Garivier Pierre Ménard Gilles Stoltz	5
+	Processes with long memory: Regenerative construction and perfect simulation	2002	Francis Comets Roberto Augusto Castellanos Fernandez Pablo A. Ferrari	5
+	Optimal Best Arm Identification with Fixed Confidence	2016	Aurélien Garivier Emilie Kaufmann	5
+	On the Complexity of Best Arm Identification in Multi-Armed Bandit Models	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier	5
+	Further Optimal Regret Bounds for Thompson Sampling	2012	Shipra Agrawal Navin Goyal	5
+	Exact sampling with coupled Markov chains and applications to statistical mechanics	1996	James Propp David Bruce Wilson	4
+	On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of Two Samples	1933	William Thompson	4
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck	4
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	4
+	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems	2016	Aurélien Garivier Pierre Ménard Gilles Stoltz	3
+	lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits	2013	Kevin Jamieson Matthew Malloy Robert D. Nowak Sébastien Bubeck	3
+	Simple Bayesian Algorithms for Best Arm Identification	2016	Daniel Russo	3
+	On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems	2008	Aurélien Garivier Éric Moulines	3
+	Thompson Sampling: An Asymptotically Optimal Finite Time Analysis	2012	Emilie Kaufmann Nathaniel Korda Rémi Munos	3
+	Non-Asymptotic Pure Exploration by Solving Games	2019	Rémy Degenne Wouter M. Koolen Pierre Ménard	3
+	Sequential choice from several populations.	1995	Michael N. Katehakis Herbert Robbins	3
+ PDF Chat	Statistical Methods Related to the Law of the Iterated Logarithm	1970	Herbert Robbins	3
+	A minimax and asymptotically optimal algorithm for stochastic bandits	2017	Pierre Ménard Aurélien Garivier	3
+	Lipschitz Bandits: Regret Lower Bounds and Optimal Algorithms	2014	Stefan Magureanu Richard Combes Alexandre Proutière	3
+	Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)	2013	Francis Bach Éric Moulines	3
+ PDF Chat	Testing statistical hypothesis on random trees and applications to the protein classification problem	2009	Jorge R. Busch Pablo A. Ferrari Ana Georgina Flesia Ricardo Fraiman Sebastian P. Grynberg Florencia Leonardi	3
+	None	2000	Arnaud Doucet Simon Godsill Christophe Andrieu	3
+	Sequential design of computer experiments for the estimation of a probability of failure	2011	Julien Bect David Ginsbourger Ling Li Victor Picheny Emmanuel Vázquez	3
+	ASYMPTOTICALLY OPTIMAL PROCEDURES FOR SEQUENTIAL ADAPTIVE SELECTION OF THE BEST OF SEVERAL NORMAL MEANS	1982	Christopher Jennison Iain M. Johnstone Bruce W. Turnbull	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Unimodal Bandits without Smoothness.	2014	Richard Combes Alexandre Proutière	3
+	On the Complexity of A/B Testing	2014	Emilie Kaufmann Olivier Cappé Aurélien Garivier	3
+ PDF Chat	Conditional Value-at-Risk and Average Value-at-Risk: Estimation and Asymptotics	2012	So Yeon Chun Alexander Shapiro Stan Uryasev	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+	Novel approach to nonlinear/non-Gaussian Bayesian state estimation	1993	Neil Gordon David Salmond A. F. M. Smith	2
+ PDF Chat	COHERENCE AND ELICITABILITY	2014	Johanna F. Ziegel	2
+	Exact Sampling from a Continuous State Space	1998	D. Murdoch P. J. Green	2
+ PDF Chat	How to couple from the past using a read-once source of randomness	2000	David B. Wilson	2
+ PDF Chat	Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference	2004	Nicolás Chopin	2
+ PDF Chat	Some upper bounds for the rate of convergence of penalized likelihood context tree estimators	2010	Florencia Leonardi	2
+ PDF Chat	A robust algorithm for template curve estimation based on manifold embedding	2013	Chloé Dimeglio Santiago Gallón Jean-Michel Loubès Élie Maza	2
+	Constrained Monte Carlo Maximum Likelihood for Dependent Data	1992	Charles J. Geyer E. A. Thompson	2
+ PDF Chat	A Single-Sample Multiple Decision Procedure for Ranking Means of Normal Populations with known Variances	1954	Robert E. Bechhofer	2
+ PDF Chat	Consistent Nonparametric Regression	1977	Charles J. Stone	2
+ PDF Chat	Linearly Parameterized Bandits	2010	Paat Rusmevichientong John N. Tsitsiklis	2