Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage

30 December 2008

Papers citing "Thresholding-based Iterative Selection Procedures for Model Selection and Shrinkage"

24 / 24 papers shown

Title
Feature Selection for Latent Factor Models Rittwika Kansabanik Adrian Barbu 69 0 0 13 Dec 2024
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 18 3 0 09 Nov 2022
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning Yiyuan She Zhifeng Wang Jiuwu Jin 16 7 0 16 Dec 2021
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly Yuling Jiao Dingwei Li Min Liu Xiliang Lu 39 0 0 18 Sep 2021
Nonconvex Optimization via MM Algorithms: Convergence Theory K. Lange Joong-Ho Won Alfonso Landeros Hua Zhou 6 10 0 05 Jun 2021
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties Jian Huang Yuling Jiao Xiliang Lu Yueyong Shi Qinglong Yang 21 2 0 09 Oct 2018
A Novel Framework for Online Supervised Learning with Feature Selection Lizhe Sun Yangzi Guo Siquan Zhu Adrian Barbu 16 12 0 30 Mar 2018
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning Yueyong Shi Jian Huang Yuling Jiao Qinglong Yang 36 4 0 24 Feb 2018
A Constructive Approach to High-dimensional Regression Jian Huang Yuling Jiao Yanyan Liu Xiliang Lu 11 4 0 18 Jan 2017
Two-Level Structural Sparsity Regularization for Identifying Lattices and Defects in Noisy Images Xin Li A. Belianinov Ondrej Dyck S. Jesse Chiwoo Park 24 5 0 24 Nov 2016
L0-norm Sparse Graph-regularized SVD for Biclustering Wenwen Min Juan Liu Shihua Zhang 15 4 0 19 Mar 2016
On the Finite-Sample Analysis of $Θ$ -estimators Yiyuan She 13 3 0 13 Dec 2015
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity Qiaoya Zhang Yiyuan She 14 1 0 12 Dec 2015
Robust Reduced Rank Regression Yiyuan She Kun Chen 10 58 0 14 Sep 2015
Joint Association Graph Screening and Decomposition for Large-scale Linear Dynamical Systems Yiyuan She Yuejia He Shijie Li D. Wu 14 6 0 17 Nov 2014
Robust Orthogonal Complement Principal Component Analysis Yiyuan She Shijie Li Dapeng Oliver Wu 27 25 0 05 Oct 2014
Selective Factor Extraction in High Dimensions Yiyuan She 37 0 0 25 Mar 2014
Feature Selection with Annealing for Computer Vision and Big Data Learning Adrian Barbu Yiyuan She Liangjing Ding Gary Gramajo 36 102 0 10 Oct 2013
A Unified Primal Dual Active Set Algorithm for Nonconvex Sparse Recovery Jian Huang Yuling Jiao Bangti Jin Jin Liu Xiliang Lu Can Yang 59 0 0 04 Oct 2013
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 25 175 0 20 Jun 2013
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection Yiyuan She Huanghuang Li Jiangping Wang Dapeng Oliver Wu 40 20 0 28 Jul 2012
Reduced Rank Vector Generalized Linear Models for Feature Extraction Yiyuan She 52 24 0 19 Jul 2010
Outlier Detection Using Nonconvex Penalized Regression Yiyuan She Art B. Owen 60 298 0 14 Jun 2010
An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors Yiyuan She 84 0 0 29 Nov 2009