| Sparsity oracle inequalities for the Lasso F Bunea, A Tsybakov, M Wegkamp | 571 | 2007 |
| Aggregation for Gaussian regression F Bunea, AB Tsybakov, MH Wegkamp | 423 | 2007 |
| Optimal selection of reduced rank estimators of high-dimensional matrices F Bunea, Y She, MH Wegkamp | 307 | 2011 |
| Functional classification in Hilbert spaces G Biau, F Bunea, MH Wegkamp IEEE Transactions on Information Theory 51 (6), 2163-2172, 2005 | 215 | 2005 |
| Honest variable selection in linear and logistic regression models via ℓ1 and ℓ1+ℓ2 penalization F Bunea | 210 | 2008 |
| Penalized least squares regression methods and applications to neuroimaging F Bunea, Y She, H Ombao, A Gongvatana, K Devlin, R Cohen Neuroimage 55 (4), 1519-1527, 2011 | 206 | 2011 |
| Joint variable and rank selection for parsimonious estimation of high-dimensional matrices F Bunea, Y She, MH Wegkamp | 163 | 2012 |
| The group square-root lasso: Theoretical properties and fast algorithms F Bunea, J Lederer, Y She IEEE Transactions on Information Theory 60 (2), 1313-1325, 2013 | 127 | 2013 |
| On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA F Bunea, L Xiao | 118 | 2015 |
| Aggregation and Sparsity Via ℓ1 Penalized Least Squares F Bunea, AB Tsybakov, MH Wegkamp International Conference on Computational Learning Theory, 379-391, 2006 | 105 | 2006 |
| Consistent covariate selection and post model selection inference in semiparametric regression F Bunea | 86 | 2004 |
| Sparse Density Estimation with ℓ1 Penalties F Bunea, AB Tsybakov, MH Wegkamp International Conference on Computational Learning Theory, 530-543, 2007 | 77 | 2007 |
| Consistent variable selection in high dimensional regression via multiple testing F Bunea, MH Wegkamp, A Auguste Journal of statistical planning and inference 136 (12), 4349-4364, 2006 | 77 | 2006 |
| Spades and mixture models F Bunea, AB Tsybakov, MH Wegkamp, A Barbu | 69 | 2010 |
| On asymptotic quantum statistical inference RD Gill, MI Guţă From Probability to Statistics and Back: High-Dimensional Models and …, 2013 | 63 | 2013 |
| Sequential procedures for aggregating arbitrary estimators of a conditional mean F Bunea, A Nobel IEEE Transactions on Information Theory 54 (4), 1725-1735, 2008 | 59 | 2008 |
| Adaptive estimation in structured factor models with applications to overlapping clustering X Bing, F Bunea, Y Ning, M Wegkamp | 56 | 2020 |
| Convex banding of the covariance matrix J Bien, F Bunea, L Xiao Journal of the American Statistical Association 111 (514), 834-845, 2016 | 55 | 2016 |
| Consistent selection via the Lasso for high dimensional approximating regression models F Bunea Pushing the limits of contemporary statistics: contributions in honor of …, 2008 | 55 | 2008 |
| Model assisted variable clustering: Minimax-optimal recovery and algorithms F Bunea, C Giraud, X Luo, M Royer, N Verzelen Annals of statistics 48 (1), 111, 2020 | 48* | 2020 |
