Slope meets lasso: improved oracle bounds and optimality PC Bellec, G Lecué, AB Tsybakov
The Annals of Statistics 46 (6B), 3603-3642, 2018
205 2018 Sharp oracle inequalities for least squares estimators in shape restricted regression PC Bellec
The Annals of Statistics 46 (2), 745-780, 2018
107 2018 Bounds on the prediction error of penalized least squares estimators with convex penalty P Bellec, A Tsybakov
Modern Problems of Stochastic Analysis and Statistics: Selected …, 2017
48 2017 Sharp oracle bounds for monotone and convex regression through aggregation. PC Bellec, AB Tsybakov
J. Mach. Learn. Res. 16, 1879-1892, 2015
39 2015 Optimal bounds for aggregation of affine estimators PC Bellec
arXiv preprint arXiv:1410.0346, 2014
35 * 2014 De-biasing the lasso with degrees-of-freedom adjustment PC Bellec, CH Zhang
Bernoulli 28 (2), 713-743, 2022
34 2022 Second-order Stein: SURE for SURE and other applications in high-dimensional inference PC Bellec, CH Zhang
The Annals of Statistics 49 (4), 1864-1903, 2021
34 2021 De-biasing convex regularized estimators and interval estimation in linear models PC Bellec, CH Zhang
arXiv preprint arXiv:1912.11943, 2019
30 * 2019 Concentration of quadratic forms under a Bernstein moment assumption PC Bellec
arXiv preprint arXiv:1901.08736, 2019
26 2019 On the prediction loss of the lasso in the partially labeled setting PC Bellec, AS Dalalyan, E Grappin, Q Paris
25 2018 Out-of-sample error estimation for M-estimators with convex penalty PC Bellec
Information and Inference: A Journal of the IMA 12 (4), 2782-2817, 2023
20 2023 The noise barrier and the large signal bias of the lasso and other convex estimators PC Bellec
arXiv preprint arXiv:1804.01230, 2018
18 2018 Optimal exponential bounds for aggregation of density estimators PC Bellec
17 2017 Localized Gaussian width of -convex hulls with applications to Lasso and convex aggregation PC Bellec
16 2019 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning PC Bellec, Y Shen
Conference on Learning Theory, 1912-1947, 2022
12 2022 Towards the study of least squares estimators with convex penalty PC Bellec, G Lecué, AB Tsybakov
arXiv preprint arXiv:1701.09120, 2017
11 2017 Optimistic lower bounds for convex regularized least-squares PC Bellec
arXiv preprint arXiv:1703.01332, 2017
10 2017 Observable adjustments in single-index models for regularized M-estimators PC Bellec
arXiv preprint arXiv:2204.06990, 2022
9 2022 Asymptotic normality of robust M -estimators with convex penalty PC Bellec, Y Shen, CH Zhang
Electronic Journal of Statistics 16 (2), 5591-5622, 2022
8 2022 Adaptive confidence sets in shape restricted regression PC Bellec
arXiv preprint arXiv:1601.05766, 2016
7 2016