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Mohamed Ndaoud
Mohamed Ndaoud
Assistant Professor of Statistics at ESSEC Business School
Adresse e-mail validée de essec.edu - Page d'accueil
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Année
Sharp optimal recovery in the two component gaussian mixture model
M Ndaoud
The Annals of Statistics 50 (4), 2096-2126, 2022
74*2022
Variable selection with Hamming loss
C Butucea, M Ndaoud, NA Stepanova, AB Tsybakov
712018
Optimal variable selection and adaptive noisy compressed sensing
M Ndaoud, AB Tsybakov
IEEE Transactions on Information Theory 66 (4), 2517-2532, 2020
332020
Interplay of minimax estimation and minimax support recovery under sparsity
M Ndaoud
Algorithmic Learning Theory, 647-668, 2019
232019
Adaptive robust estimation in sparse vector model
L Comminges, O Collier, M Ndaoud, AB Tsybakov
The Annals of Statistics, 2021, 2019
23*2019
Improved clustering algorithms for the bipartite stochastic block model
M Ndaoud, S Sigalla, AB Tsybakov
IEEE Transactions on Information Theory 68 (3), 1960-1975, 2021
192021
Robust and efficient mean estimation: an approach based on the properties of self-normalized sums
S Minsker, M Ndaoud
Electronic Journal of Statistics 15 (2), 6036-6070, 2021
192021
Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
M Ndaoud
arXiv preprint arXiv:2008.12236, 2020
132020
Robust and tuning-free sparse linear regression via square-root slope
S Minsker, M Ndaoud, L Wang
SIAM Journal on Mathematics of Data Science 6 (2), 428-453, 2024
102024
Minimax supervised clustering in the anisotropic gaussian mixture model: a new take on robust interpolation
S Minsker, M Ndaoud, Y Shen
arXiv preprint arXiv:2111.07041, 2021
62021
Variable selection, monotone likelihood ratio and group sparsity
C Butucea, E Mammen, M Ndaoud, AB Tsybakov
The Annals of Statistics 51 (1), 312-333, 2023
42023
Harmonic analysis meets stationarity: A general framework for series expansions of special Gaussian processes
M Ndaoud
Bernoulli 29 (3), 2295-2317, 2023
2*2023
Contributions to variable selection, clustering and statistical estimation inhigh dimension
M Ndaoud
Université Paris-Saclay, 2019
12019
Outlier-Bias Removal with Alpha Divergence: A Robust Non-Convex Estimator for Linear Regression
I Hammouda, M Ndaoud
arXiv preprint arXiv:2412.19183, 2024
2024
Ask for More Than Bayes Optimal: A Theory of Indecisions for Classification
M Ndaoud, P Radchenko, B Rava
arXiv preprint arXiv:2412.12807, 2024
2024
Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
V Karagulyan, M Ndaoud
arXiv preprint arXiv:2406.12446, 2024
2024
Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties
DM Ostrovskii, M Ndaoud, A Javanmard, M Razaviyayn
arXiv preprint arXiv:2012.02901, 2020
2020
Contributions to variable selection, clustering and statistical estimation inhigh dimension| Theses. fr
M Ndaoud
Université Paris-Saclay (ComUE), 2019
2019
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