Adrien SAUMARD

Adrien SAUMARD
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Associate Professor
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2022

  • Relaxing the gaussian assumption in shrinkage and sure in high dimension

    Annals of statistics, vol. 50, iss. 5, pp. 2737-2766, 2022.
    By M. Fathi, L. Goldstein, G. Reinert, and A. Saumard

    [DOI] [Bibtex] 

    @article{Fathi20222737,
author={Fathi, M. and Goldstein, L. and Reinert, G. and Saumard, A.},
title={RELAXING THE GAUSSIAN ASSUMPTION IN SHRINKAGE AND SURE IN HIGH DIMENSION},
journal={Annals of Statistics},
year={2022},
volume={50},
number={5},
pages={2737-2766},
doi={10.1214/22-AOS2208},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143916326&doi=10.1214%2f22-AOS2208&partnerID=40&md5=24812da70d825ae76d4e4401c66353a2},
publisher={Institute of Mathematical Statistics},
}

  • K-bmom: a robust lloyd-type clustering algorithm based on bootstrap median-of-means

    Computational statistics and data analysis, vol. 167, 2022.
    By C. Brunet-Saumard, E. Genetay, and A. Saumard

    [DOI] [Bibtex] 

    @article{Brunet-Saumard2022,
author={Brunet-Saumard, C. and Genetay, E. and Saumard, A.},
title={K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means},
journal={Computational Statistics and Data Analysis},
year={2022},
volume={167},
doi={10.1016/j.csda.2021.107370},
art_number={107370},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117286100&doi=10.1016%2fj.csda.2021.107370&partnerID=40&md5=e14e9ba6ad931f8653c400753eec7e5e},
publisher={Elsevier B.V.},
}

2021

  • Finite sample improvement of akaike's information criterion

    Ieee transactions on information theory, vol. 67, iss. 10, pp. 6328-6343, 2021.
    By A. Saumard and F. Navarro

    [DOI] [Bibtex] 

    @article{Saumard20216328,
author={Saumard, A. and Navarro, F.},
title={Finite Sample Improvement of Akaike's Information Criterion},
journal={IEEE Transactions on Information Theory},
year={2021},
volume={67},
number={10},
pages={6328-6343},
doi={10.1109/TIT.2021.3094770},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112597936&doi=10.1109%2fTIT.2021.3094770&partnerID=40&md5=44c56fb8a559860ee24a1d804f2884b6},
publisher={Institute of Electrical and Electronics Engineers Inc.},
}

2020

  • Local differential privacy: elbow effect in optimal density estimation and adaptation over besov ellipsoids

    Bernoulli, vol. 26, iss. 3, pp. 1727-1764, 2020.
    By C. Butucea, A. Dubois, M. Kroll, and A. Saumard

    [DOI] [Bibtex] 

    @article{Butucea20201727,
author={Butucea, C. and Dubois, A. and Kroll, M. and Saumard, A.},
title={Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids},
journal={Bernoulli},
year={2020},
volume={26},
number={3},
pages={1727-1764},
doi={10.3150/19-BEJ1165},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091187918&doi=10.3150%2f19-BEJ1165&partnerID=40&md5=a553a71ab70c97f6dfa365d2aa4af54b},
publisher={International Statistical Institute},
}

2019

  • An extremal property of the normal distribution, with a discrete analog

    Statistics and probability letters, vol. 145, pp. 181-186, 2019.
    By E. Hillion, O. Johnson, and A. Saumard

    [DOI] [Bibtex] 

    @article{Hillion2019181,
author={Hillion, E. and Johnson, O. and Saumard, A.},
title={An extremal property of the normal distribution, with a discrete analog},
journal={Statistics and Probability Letters},
year={2019},
volume={145},
pages={181-186},
doi={10.1016/j.spl.2018.08.018},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054804365&doi=10.1016%2fj.spl.2018.08.018&partnerID=40&md5=28cdc184bc7015ab2d8046a2d2aa2be0},
publisher={Elsevier B.V.},
}

  • Weighted poincaré inequalities, concentration inequalities and tail bounds related to stein kernels in dimension one

    Bernoulli, vol. 25, iss. 4B, pp. 3978-4006, 2019.
    By A. Saumard

    [DOI] [Bibtex] 

    @article{Saumard20193978,
author={Saumard, A.},
title={Weighted Poincaré inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one},
journal={Bernoulli},
year={2019},
volume={25},
number={4B},
pages={3978-4006},
doi={10.3150/19-BEJ1117},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073053217&doi=10.3150%2f19-BEJ1117&partnerID=40&md5=b329bcec715ee5cfe5bf9f976ebac7fe},
publisher={International Statistical Institute},
}

  • On the isoperimetric constant, covariance inequalities and lp-poincaré inequalities in dimension one

    Bernoulli, vol. 25, iss. 3, pp. 1794-1815, 2019.
    By A. Saumard and J. A. Wellner

    [DOI] [Bibtex] 

    @article{Saumard20191794,
author={Saumard, A. and Wellner, J.A.},
title={On the isoperimetric constant, covariance inequalities and Lp-Poincaré inequalities in dimension one},
journal={Bernoulli},
year={2019},
volume={25},
number={3},
pages={1794-1815},
doi={10.3150/18-BEJ1036},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069678551&doi=10.3150%2f18-BEJ1036&partnerID=40&md5=19e694bf54385672b657c079ef03abc5},
publisher={International Statistical Institute},
}

2018

  • On optimality of empirical risk minimization in linear aggregation

    Bernoulli, vol. 24, iss. 3, pp. 2176-2203, 2018.
    By A. Saumard

    [DOI] [Bibtex] 

    @article{Saumard20182176,
author={Saumard, A.},
title={On optimality of empirical risk minimization in linear aggregation},
journal={Bernoulli},
year={2018},
volume={24},
number={3},
pages={2176-2203},
doi={10.3150/17-BEJ925},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041920614&doi=10.3150%2f17-BEJ925&partnerID=40&md5=d4f55c18817fa39bf39989f07fd87919},
publisher={International Statistical Institute},
}

  • Efron's monotonicity property for measures on r2

    Journal of multivariate analysis, vol. 166, pp. 212-224, 2018.
    By A. Saumard and J. A. Wellner

    [DOI] [Bibtex] 

    @article{Saumard2018212,
author={Saumard, A. and Wellner, J.A.},
title={Efron's monotonicity property for measures on R2},
journal={Journal of Multivariate Analysis},
year={2018},
volume={166},
pages={212-224},
doi={10.1016/j.jmva.2018.03.005},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044606119&doi=10.1016%2fj.jmva.2018.03.005&partnerID=40&md5=5dc0165aad3aa7ea38f4e0bbc15e366d},
publisher={Academic Press Inc.},
}

2017

  • Slope heuristics and v-fold model selection in heteroscedastic regression using strongly localized bases

    Esaim - probability and statistics, vol. 21, pp. 412-451, 2017.
    By F. Navarro and A. Saumard

    [DOI] [Bibtex] 

    @article{Navarro2017412,
author={Navarro, F. and Saumard, A.},
title={Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases},
journal={ESAIM - Probability and Statistics},
year={2017},
volume={21},
pages={412-451},
doi={10.1051/ps/2017005},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040310805&doi=10.1051%2fps%2f2017005&partnerID=40&md5=2b277d7ac84cb4c3f00519e40c1ff441},
publisher={EDP Sciences},
}

2016

  • Testing the predictor effect on a functional response

    Journal of the american statistical association, vol. 111, iss. 516, pp. 1684-1695, 2016.
    By V. Patilea, C. Sánchez-Sellero, and M. Saumard

    [DOI] [Bibtex] 

    @article{Patilea20161684,
author={Patilea, V. and Sánchez-Sellero, C. and Saumard, M.},
title={Testing the Predictor Effect on a Functional Response},
journal={Journal of the American Statistical Association},
year={2016},
volume={111},
number={516},
pages={1684-1695},
doi={10.1080/01621459.2015.1110031},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010676976&doi=10.1080%2f01621459.2015.1110031&partnerID=40&md5=166278f9442de5c90d5802f27a52ebe9},
publisher={American Statistical Association},
}