adrien saumard
adrien saumard
Crest-Ensai
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Log-concavity and strong log-concavity: a review
A Saumard, JA Wellner
Statistics surveys 8, 45, 2014
1282014
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases
F Navarro, A Saumard
ESAIM: Probability and Statistics 21, 412-451, 2017
132017
Optimal model selection in heteroscedastic regression using piecewise polynomial functions
A Saumard
Electronic Journal of Statistics 7, 1184-1223, 2013
132013
On optimality of empirical risk minimization in linear aggregation
A Saumard
Bernoulli 24 (3), 2176-2203, 2018
112018
Weighted Poincaré inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one
A Saumard
Bernoulli 25 (4B), 3978-4006, 2019
92019
On the isoperimetric constant, covariance inequalities and -Poincaré inequalities in dimension one
A Saumard, JA Wellner
Bernoulli 25 (3), 1794-1815, 2019
92019
Efron’s monotonicity property for measures on R2
A Saumard, JA Wellner
Journal of Multivariate Analysis 166, 212-224, 2018
92018
The slope heuristics in heteroscedastic regression
A Saumard
arXiv preprint arXiv:1104.1050, 2011
82011
Estimation par minimum de contraste régulier et heuristique de pente en sélection de modèles
A Saumard
82010
Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models
A Saumard
72010
A concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise
A Saumard
arXiv preprint arXiv:1702.05063, 2017
62017
Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids
C Butucea, A Dubois, M Kroll, A Saumard
Bernoulli 26 (3), 1727-1764, 2020
32020
Finite sample improvement of Akaike's Information Criterion
A Saumard, F Navarro
arXiv preprint arXiv:1803.02078, 2018
32018
Convergence in sup-norm of least-squares estimators in regression with random design and nonparametric heteroscedastic noise
A Saumard
October, 2010
32010
The slope heuristics in heteroscedastic regression. 2010
A Saumard
URL http://arxiv. org/abs/1104.1050, 0
3
Efficiency of the V -Fold Model Selection for Localized Bases
F Navarro, A Saumard
Conference of the International Society for Non-Parametric Statistics, 53-68, 2016
22016
An extremal property of the normal distribution, with a discrete analog
E Hillion, O Johnson, A Saumard
Statistics & Probability Letters 145, 181-186, 2019
12019
Model selection as a multiple testing procedure: Improving Akaike’s information criterion
A Saumard, F Navarro
arXiv preprint arXiv:1803.02078, 2018
12018
Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
M Fathi, L Goldstein, G Reinert, A Saumard
arXiv preprint arXiv:2004.01378, 2020
2020
K-bMOM: a robust Lloyd-type clustering algorithm based on bootstrap Median-of-Means
C Brunet-Saumard, E Genetay, A Saumard
arXiv preprint arXiv:2002.03899, 2020
2020
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