Mohamed Ndaoud

Contributions to variable selection, clustering and statistical estimation inhigh dimension

Mohamed Ndaoud, M. Ndaoud, 2019 .

Interplay of minimax estimation and minimax support recovery under sparsity

Mohamed Ndaoud, M. Ndaoud, 2018, ALT.

Optimal Variable Selection and Adaptive Noisy Compressed Sensing

Alexandre B. Tsybakov, Mohamed Ndaoud, A. Tsybakov, 2018, IEEE Transactions on Information Theory.

Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation

Stanislav Minsker, Mohamed Ndaoud, Yiqiu Shen, 2021 .

Improved Clustering Algorithms for the Bipartite Stochastic Block Model

Alexandre B. Tsybakov, Mohamed Ndaoud, Suzanne Sigalla, 2021, IEEE Transactions on Information Theory.

Variable selection, monotone likelihood ratio and group sparsity

Cristina Butucea, Alexandre B. Tsybakov, Enno Mammen, 2021 .

Robust and efficient mean estimation: an approach based on the properties of self-normalized sums

Stanislav Minsker, Mohamed Ndaoud, Stanislav Minsker, 2020, Electronic Journal of Statistics.

Sharp optimal recovery in the Two Gaussian Mixture Model.

Mohamed Ndaoud, 2018 .