| Sharp optimal recovery in the two component gaussian mixture model M Ndaoud The Annals of Statistics 50 (4), 2096-2126, 2022 | 62* | 2022 |
| Variable selection with Hamming loss C Butucea, M Ndaoud, NA Stepanova, AB Tsybakov | 61 | 2018 |
| Optimal variable selection and adaptive noisy compressed sensing M Ndaoud, AB Tsybakov IEEE Transactions on Information Theory 66 (4), 2517-2532, 2020 | 32 | 2020 |
| Adaptive robust estimation in sparse vector model L Comminges, O Collier, M Ndaoud, AB Tsybakov The Annals of Statistics, 2021, 2019 | 21* | 2019 |
| Interplay of minimax estimation and minimax support recovery under sparsity M Ndaoud Algorithmic Learning Theory, 647-668, 2019 | 20 | 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 | 19 | 2021 |
| 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 | 16 | 2021 |
| Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach M Ndaoud arXiv preprint arXiv:2008.12236, 2020 | 9 | 2020 |
| 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 | 6 | 2024 |
| 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 | 5 | 2021 |
| Harmonic analysis meets stationarity: A general framework for series expansions of special Gaussian processes M Ndaoud Bernoulli 29 (3), 2295-2317, 2023 | 2* | 2023 |
| 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 | 2 | 2023 |
| Contributions to variable selection, clustering and statistical estimation inhigh dimension M Ndaoud Université Paris-Saclay, 2019 | 1 | 2019 |
| 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 |
