Regularization and the small-ball method II: complexity dependent error rates

27 August 2016

Papers citing "Regularization and the small-ball method II: complexity dependent error rates"

7 / 7 papers shown

Title
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 18 18 0 10 May 2019
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 18 59 0 05 Feb 2017
Learning from MOM's principles: Le Cam's approach Lecué Guillaume Lerasle Matthieu 27 52 0 08 Jan 2017
On optimality of empirical risk minimization in linear aggregation Adrien Saumard 16 21 0 11 May 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015
Learning without Concentration for General Loss Functions S. Mendelson 55 65 0 13 Oct 2014
Learning without Concentration S. Mendelson 80 333 0 01 Jan 2014