Follow
adrien saumard
adrien saumard
Crest-Ensai
Verified email at ensai.fr - Homepage
Title
Cited by
Cited by
Year
Log-concavity and strong log-concavity: a review
A Saumard, JA Wellner
Statistics surveys 8, 45, 2014
2962014
Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids
C Butucea, A Dubois, M Kroll, A Saumard
452020
Efron’s monotonicity property for measures on R2
A Saumard, JA Wellner
Journal of Multivariate Analysis 166, 212-224, 2018
222018
Weighted Poincaré inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one
A Saumard
212019
On optimality of empirical risk minimization in linear aggregation
A Saumard
212018
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
212017
Optimal model selection in heteroscedastic regression using piecewise polynomial functions
A Saumard
172013
K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means
C Brunet-Saumard, E Genetay, A Saumard
Computational Statistics & Data Analysis 167, 107370, 2022
162022
On the isoperimetric constant, covariance inequalities and -Poincaré inequalities in dimension one
A Saumard, JA Wellner
162019
Finite sample improvement of Akaike’s information criterion
A Saumard, F Navarro
IEEE Transactions on Information Theory 67 (10), 6328-6343, 2021
82021
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
Université Rennes 1, 2010
82010
Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models
A Saumard
82010
Relaxing the Gaussian assumption in shrinkage and SURE in high dimension
M Fathi, L Goldstein, G Reinert, A Saumard
The Annals of Statistics 50 (5), 2737-2766, 2022
72022
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
72017
Nonasymptotic quasi-optimality of AIC and the slope heuristics in maximum likelihood estimation of density using histogram models. hal-00512310
A Saumard
Cited on, 227, 2010
52010
Bi-log-concavity: some properties and some remarks towards a multi-dimensional extension
A Saumard
42019
Convergence in sup-norm of least-squares estimators in regression with random design and nonparametric heteroscedastic noise
A Saumard
HAL Id: hal-00528539, 2010
42010
Phase transitions for support recovery under local differential privacy
C Butucea, A Dubois, A Saumard
Mathematical Statistics and Learning 6 (1), 1-50, 2023
32023
An extremal property of the normal distribution, with a discrete analog
E Hillion, O Johnson, A Saumard
Statistics & Probability Letters 145, 181-186, 2019
32019
The system can't perform the operation now. Try again later.
Articles 1–20