Search Results - "Garivier, Aurélien"

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  1. 1

    KULLBACK-LEIBLER UPPER CONFIDENCE BOUNDS FOR OPTIMAL SEQUENTIAL ALLOCATION by Cappé, Olivier, Garivier, Aurélien, Maillard, Odalric-Ambrym, Munos, Rémi, Stoltz, Gilles

    Published in The Annals of statistics (01-06-2013)
    “…We consider optimal sequential allocation in the context of the so-called stochastic multi-armed bandit model. We describe a generic index policy, in the sense…”
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    Journal Article
  2. 2

    Nonasymptotic sequential tests for overlapping hypotheses applied to near-optimal arm identification in bandit models by Garivier, Aurélien, Kaufmann, Emilie

    Published in Sequential analysis (15-01-2021)
    “…In this article, we study sequential testing problems with overlapping hypotheses. We first focus on the simple problem of assessing if the mean μ of a…”
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    Journal Article
  3. 3

    A review on quantile regression for stochastic computer experiments by Torossian, Léonard, Picheny, Victor, Faivre, Robert, Garivier, Aurélien

    Published in Reliability engineering & system safety (01-09-2020)
    “…•We review six quantile metamodels in a unified framework, highlighting similarities and differences.•The methods are analyzed through an extensive benchmark…”
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    Journal Article
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    SEQUENTIAL MONTE CARLO SMOOTHING FOR GENERAL STATE SPACE HIDDEN MARKOV MODELS by Douc, Randal, Garivier, Aurélien, Moulines, Eric, Olsson, Jimmy

    Published in The Annals of applied probability (01-12-2011)
    “…Computing smoothing distributions, the distributions of one or more states conditional on past, present, and future observations is a recurring problem when…”
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    Journal Article
  5. 5

    Perfect simulation of processes with long memory: A "coupling into and from the past" algorithm by Garivier, Aurélien

    Published in Random structures & algorithms (01-03-2015)
    “…ABSTRACT We describe a new algorithm for the perfect simulation of variable length Markov chains and random systems with perfect connections. This algorithm,…”
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    Journal Article
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    Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening by Béthune, Louis, Kaloga, Yacouba, Borgnat, Pierre, Garivier, Aurélien, Habrard, Amaury

    Published in Algorithms (01-09-2020)
    “…We propose a novel algorithm for unsupervised graph representation learning with attributed graphs. It combines three advantages addressing some current…”
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    Journal Article
  7. 7

    Private Quantiles Estimation in the Presence of Atoms by Lalanne, Clément, Gastaud, Clément, Grislain, Nicolas, Garivier, Aurélien, Gribonval, Rémi

    Published in Information and inference (27-04-2023)
    “…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…”
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    Journal Article
  8. 8

    Conditional Quantile Sequential Estimation for Stochastic Codes by Labopin-Richard, Tatiana, Gamboa, Fabrice, Garivier, Aurélien, Stenger, Jérôme

    Published in Journal of statistical theory and practice (01-12-2019)
    “…We propose and analyze an algorithm for the sequential estimation of a conditional quantile in the context of real stochastic codes with vector-valued inputs…”
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    Journal Article
  9. 9

    A Lower-Bound for the Maximin Redundancy in Pattern Coding by Aurélien Garivier

    Published in Entropy (Basel, Switzerland) (01-12-2009)
    “…We show that the maximin average redundancy in pattern coding is eventually larger than 1.84 (n/log n)1/3 for messages of length n. This improves recent…”
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    Journal Article
  10. 10

    Learning the distribution with largest mean: two bandit frameworks by Kaufmann, Emilie, Garivier, Aurélien

    Published in ESAIM. Proceedings and surveys (2017)
    “…Over the past few years, the multi-armed bandit model has become increasingly popular in the machine learning community, partly because of applications…”
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    Journal Article
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    Joint Estimation of Intersecting Context Tree Models by GALVES, ANTONIO, GARIVIER, AURÉLIEN, GASSIAT, ELISABETH

    Published in Scandinavian journal of statistics (01-06-2013)
    “…We study a problem of model selection for data produced by two different context tree sources. Motivated by linguistic questions, we consider the case where…”
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    Journal Article
  12. 12

    Consistency of the Unlimited BIC Context Tree Estimator by Garivier, A.

    Published in IEEE transactions on information theory (01-10-2006)
    “…The Bayesian information criterion (BIC) and Krichevsky- Trofimov (KT) version of minimum description length (MDL) principle are popular in the study of model…”
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    Journal Article
  13. 13

    On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality by Barembruch, S., Garivier, A., Moulines, E.

    Published in IEEE transactions on signal processing (01-11-2009)
    “…We discuss approximate maximum-likelihood methods for blind identification and deconvolution. These algorithms are based on particle approximation versions of…”
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    Journal Article
  14. 14

    Non-Asymptotic Sequential Tests for Overlapping Hypotheses and application to near optimal arm identification in bandit models by Garivier, Aurélien, Kaufmann, Emilie

    Published in Sequential analysis (01-03-2021)
    “…In this paper, we study sequential testing problems with overlapping hypotheses. We first focus on the simple problem of assessing if the mean µ of a Gaussian…”
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    Journal Article
  15. 15

    Optimism in reinforcement learning and Kullback-Leibler divergence by Filippi, S, Cappé, Olivier, Garivier, Aurélien

    “…We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. In MDPs, optimism can…”
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    Conference Proceeding
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    Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds by Filippi, Sarah, Cappé, Olivier, Garivier, Aurélien

    “…We consider the task of optimally sensing a two-state Markovian channel with an observation cost and without any prior information regarding the channel's…”
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    Journal Article
  17. 17

    About the Cost of Central Privacy in Density Estimation by Lalanne, Clément, Garivier, Aurélien, Gribonval, Rémi

    Published 30-08-2023
    “…We study non-parametric density estimation for densities in Lipschitz and Sobolev spaces, and under central privacy. In particular, we investigate regimes…”
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    Journal Article
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