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20082023
most citedOn the Complexity of Best Arm Identification in Multi-Armed Bandit Models

688 citations · 2k across the 44 of their papers we have counts for

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13 papers · 1 filter

stat.ML2023

Private Statistical Estimation of Many Quantiles

Clément Lalanne, Aurélien Garivier, Rémi Gribonval

This work studies the estimation of many statistical quantiles under differential privacy. More precisely, given a distribution and access to i.i.d. samples from it, we study the e…

stat.ML2022

Private Quantiles Estimation in the Presence of Atoms

Clément Sébastien Lalanne, Clément Gastaud, Nicolas Grislain +2

We consider the differentially private estimation of multiple quantiles (MQ) of a distribution from a dataset, a key building block in modern data analysis. We apply the recent non…

stat.ML2022

On the complexity of All -Best Arms Identification

Aymen Al Marjani, Tomáš Kocák, Aurélien Garivier

We consider the question introduced by \cite{Mason2020} of identifying all the -optimal arms in a finite stochastic multi-armed bandit with Gaussian rewards. We give t…

stat.ML2021★ 4 cited

A/B/n Testing with Control in the Presence of Subpopulations

Yoan Russac, Christina Katsimerou, Dennis Bohle +3

Motivated by A/B/n testing applications, we consider a finite set of distributions (called \emph{arms}), one of which is treated as a \emph{control}. We assume that the population…

stat.ML2021★ 4 cited

Navigating to the Best Policy in Markov Decision Processes

Aymen Al Marjani, Aurélien Garivier, Alexandre Proutiere

We investigate the classical active pure exploration problem in Markov Decision Processes, where the agent sequentially selects actions and, from the resulting system trajectory, a…

stat.ML2019★ 9 cited

X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks

Léonard Torossian, Aurélien Garivier, Victor Picheny

We propose and analyze StoROO, an algorithm for risk optimization on stochastic black-box functions derived from StoOO. Motivated by risk-averse decision making fields like agricul…