Some sharp performance bounds for least squares regression with $L_1$ regularization

20 August 2009

Tong Zhang

Papers citing "Some sharp performance bounds for least squares regression with $L_1$ regularization"

33 / 33 papers shown

Title
Supervized Segmentation with Graph-Structured Deep Metric Learning Loic Landrieu Mohamed Boussaha 16 1 0 10 May 2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning Loic Landrieu Mohamed Boussaha 3DPC 25 150 0 03 Apr 2019
Prediction and estimation consistency of sparse multi-class penalized optimal scoring Irina Gaynanova 27 11 0 12 Sep 2018
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 43 57 0 16 May 2017
Minimum Description Length Principle in Supervised Learning with Application to Lasso Masanori Kawakita J. Takeuchi 16 5 0 11 Jul 2016
Asymptotic consistency and order specification for logistic classifier chains in multi-label learning Paweł Teisseyre 19 1 0 24 Feb 2016
Consistent Parameter Estimation for LASSO and Approximate Message Passing Ali Mousavi A. Maleki Richard G. Baraniuk 14 58 0 03 Nov 2015
Dynamic Filtering of Time-Varying Sparse Signals via l1 Minimization Adam S. Charles A. Balavoine Christopher Rozell AI4TS 29 42 0 22 Jul 2015
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error Jianqing Fan Han Liu Qiang Sun Tong Zhang 24 115 0 03 Jul 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
Group Regularized Estimation under Structural Hierarchy Yiyuan She Zhifeng Wang He Jiang 48 47 0 17 Nov 2014
DC approximation approaches for sparse optimization Hoai An Le Thi T. P. Dinh L. Minh X. T. Vo 35 197 0 01 Jul 2014
Support Recovery for the Drift Coefficient of High-Dimensional Diffusions José Bento M. Ibrahimi 27 6 0 19 Aug 2013
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 33 175 0 20 Jun 2013
Strong oracle optimality of folded concave penalized estimation Jianqing Fan Lingzhou Xue H. Zou 43 302 0 22 Oct 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 53 166 0 13 Feb 2012
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications Jian Huang Cun-Hui Zhang 53 61 0 29 Dec 2011
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 69 155 0 02 Dec 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
Variable Selection in High Dimensions with Random Designs and Orthogonal Matching Pursuit Antony Joseph 55 11 0 04 Sep 2011
Multi-stage Convex Relaxation for Feature Selection Tong Zhang 51 112 0 03 Jun 2011
Group Lasso for high dimensional sparse quantile regression models Kengo Kato 76 48 0 08 Mar 2011
Stochastic Lipschitz continuity for high dimensional Lasso with multiple linear covariate structures or hidden linear covariates Zhiyi Chi 85 1 0 05 Nov 2010
Learning Networks of Stochastic Differential Equations José Bento M. Ibrahimi Andrea Montanari 81 73 0 01 Nov 2010
A local stochastic Lipschitz condition with application to Lasso for high dimensional generalized linear models Zhiyi Chi 59 4 0 06 Sep 2010
Mirror averaging with sparsity priors A. Dalalyan Alexandre B. Tsybakov 102 59 0 05 Mar 2010
Thresholded Lasso for high dimensional variable selection and statistical estimation Shuheng Zhou 110 50 0 08 Feb 2010
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 80 729 0 05 Oct 2009
Structured Variable Selection with Sparsity-Inducing Norms Rodolphe Jenatton Jean-Yves Audibert Francis R. Bach 75 605 0 22 Apr 2009
Model-Consistent Sparse Estimation through the Bootstrap Francis R. Bach 67 32 0 21 Jan 2009
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 88 166 0 15 Dec 2008
$Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization$ Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization F. Bunea 82 145 0 29 Aug 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 189 749 0 04 Apr 2008

Some sharp performance bounds for least squares regression with L1L_1L1​ regularization

Papers citing "Some sharp performance bounds for least squares regression with $L_1$ regularization"

Some sharp performance bounds for least squares regression with $L_1$ regularization