Model selection by resampling penalization

17 June 2009

Papers citing "Model selection by resampling penalization"

17 / 17 papers shown

Title
Cytometry inference through adaptive atomic deconvolution Manon Costa S. Gadat P. Gonnord Laurent Risser 34 0 0 11 Oct 2017
Video Liveness for Citizen Journalism: Attacks and Defenses Mahmudur Rahman Mozhgan Azimpourkivi Umut Topkara Bogdan Carbunar 58 5 0 06 Apr 2017
Multi-task Regression using Minimal Penalties Matthieu Solnon Sylvain Arlot Francis R. Bach 119 59 0 22 Jul 2011
Concentration inequalities of the cross-validation estimate for stable predictors Matthieu Cornec 99 9 0 23 Nov 2010
Concentration inequalities of the cross-validation estimator for Empirical Risk Minimiser Matthieu Cornec 113 11 0 30 Oct 2010
Estimator selection in the Gaussian setting Y. Baraud Christophe Giraud S. Huet 150 32 0 13 Jul 2010
Optimal model selection for density estimation of stationary data under various mixing conditions M. Lerasle 212 19 0 08 Nov 2009
Optimal model selection in density estimation M. Lerasle 154 46 0 09 Oct 2009
Adaptive density estimation for stationary processes M. Lerasle 139 10 0 05 Sep 2009
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 229 3,601 0 27 Jul 2009
Estimator selection with respect to Hellinger-type risks Y. Baraud 198 39 0 10 May 2009
Segmentation of the mean of heteroscedastic data via cross-validation Sylvain Arlot Alain Celisse OOD 92 69 0 23 Feb 2009
Choosing a penalty for model selection in heteroscedastic regression Sylvain Arlot 172 13 0 16 Dec 2008
Optimal cross-validation in density estimation with the $L^2$ -loss Alain Celisse 155 54 0 05 Nov 2008
High-dimensional Gaussian model selection on a Gaussian design Nicolas Verzélen 139 15 0 15 Aug 2008
Margin-adaptive model selection in statistical learning Sylvain Arlot Peter L. Bartlett 163 21 0 18 Apr 2008
Data-driven calibration of penalties for least-squares regression Sylvain Arlot P. Massart 277 159 0 06 Feb 2008