| Robust estimation of high-dimensional covariance and precision matrices M Avella-Medina, HS Battey, J Fan, Q Li Biometrika 105 (2), 271-284, 2018 | 92 | 2018 |
| Centrality measures for graphons: Accounting for uncertainty in networks M Avella-Medina, F Parise, MT Schaub, S Segarra IEEE Transactions on Network Science and Engineering 7 (1), 520-537, 2018 | 91 | 2018 |
| Privacy-preserving parametric inference: a case for robust statistics M Avella-Medina Journal of the American Statistical Association 116 (534), 969-983, 2021 | 50 | 2021 |
| Robust and consistent variable selection in high-dimensional generalized linear models M Avella-Medina, E Ronchetti Biometrika 105 (1), 31-44, 2018 | 41 | 2018 |
| Robust statistics: a selective overview and new directions M Avella Medina, E Ronchetti Wiley Interdisciplinary Reviews: Computational Statistics 7 (6), 372-393, 2015 | 33 | 2015 |
| Influence functions for penalized M-estimators M Avella-Medina Bernoulli 23 (4B), 3178-3196, 2017 | 30 | 2017 |
| Differentially private inference via noisy optimization M Avella-Medina, C Bradshaw, PL Loh The Annals of Statistics 51 (5), 2067-2092, 2023 | 24 | 2023 |
| Propose, Test, Release: Differentially private estimation with high probability VE Brunel, M Avella-Medina arXiv preprint arXiv:2002.08774, 2020 | 21 | 2020 |
| On the Robustness to Misspecification of α-posteriors and Their Variational Approximations M Avella Medina, JLM Olea, C Rush, A Velez Journal of Machine Learning Research 23 (147), 1-51, 2022 | 20* | 2022 |
| Differentially private sub-gaussian location estimators M Avella-Medina, VE Brunel arXiv preprint arXiv:1906.11923, 2019 | 19 | 2019 |
| The Role of Robust Statistics in Private Data Analysis M Avella-Medina CHANCE 33 (4), 37-42, 2020 | 11 | 2020 |
| A predictive based regression algorithm for gene network selection S Guerrier, N Mili, R Molinari, S Orso, M Avella-Medina, Y Ma Frontiers in genetics 7, 97, 2016 | 11 | 2016 |
| Spectral learning of multivariate extremes M Avella Medina, RA Davis, G Samorodnitsky Journal of Machine Learning Research 25 (124), 1-36, 2024 | 7* | 2024 |
| Robust and consistent variable selection for generalized linear and additive models MA Avella Medina, E Ronchetti Technical report 310, University of Geneva, 2014 | 3 | 2014 |
| Kernel PCA for multivariate extremes M Avella-Medina, RA Davis, G Samorodnitsky arXiv preprint arXiv:2211.13172, 2022 | 1 | 2022 |
| Robust penalized M-estimators for generalized linear and additive models MA Avella Medina University of Geneva, 2016 | 1 | 2016 |
| Thompson Sampling Itself is Differentially Private T Ou, R Cummings, M Avella Medina International Conference on Artificial Intelligence and Statistics, 1576-1584, 2024 | | 2024 |
| Asymptotics for power posterior mean estimation R Ray, M Avella-Medina, C Rush arXiv preprint arXiv:2310.07900, 2023 | | 2023 |
| Seconder of the vote of thanks to Dong et al. and contribution to the Discussion of ‘Gaussian Differential Privacy’ M Avella‐Medina Journal of the Royal Statistical Society Series B 84 (1), 39-41, 2022 | | 2022 |
| Robust Methods for High-Dimensional Regression and Covariance Matrix Estimation M Avella-Medina Macroeconomic Forecasting in the Era of Big Data, 625-653, 2020 | | 2020 |
