Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions

5 February 2017

Papers citing "Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions"

15 / 15 papers shown

Title
Statistical learning by sparse deep neural networks Felix Abramovich BDL 14 1 0 15 Nov 2023
Estimation of sparse linear regression coefficients under $L$ -subexponential covariates Takeyuki Sasai 18 0 0 24 Apr 2023
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 24 4 0 24 Aug 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 21 3 0 09 Jun 2022
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 40 30 0 16 Mar 2021
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 18 18 0 10 May 2019
Robust learning and complexity dependent bounds for regularized problems Geoffrey Chinot 11 2 0 06 Feb 2019
Error bounds for sparse classifiers in high-dimensions Antoine Dedieu 13 7 0 07 Oct 2018
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 22 121 0 28 Jun 2017
Adaptive Huber Regression Qiang Sun Wen-Xin Zhou Jianqing Fan 42 278 0 21 Jun 2017
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation V. Cottet Pierre Alquier 27 36 0 14 Apr 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 139 453 0 03 Dec 2007