Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

7 August 2008

Papers citing "Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models"

50 / 216 papers shown

Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties Jitendra K Tugnait 21 0 0 14 May 2025
An incremental algorithm for non-convex AI-enhanced medical image processing Elena Morotti 34 0 0 13 May 2025
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions Danial Davarnia Mohammadreza Kiaghadi 22 0 0 06 May 2025
Adaptive Classification of Interval-Valued Time Series Wan Tian Zhongfeng Qin AI4TS 36 0 0 04 Apr 2025
Sparse Linear Regression: Sequential Convex Relaxation, Robust Restricted Null Space Property, and Variable Selection Shujun Bi Yonghua Yang S. Pan 27 0 0 02 Nov 2024
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties Reza Mirzaeifard Diyako Ghaderyan Stefan Werner 23 0 0 10 Aug 2024
High-dimensional copula-based Wasserstein dependence S. Keyser Irène Gijbels 22 0 0 10 Apr 2024
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li 29 1 0 20 Mar 2024
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques Xuetong Li Yuan Gao Hong Chang Danyang Huang Yingying Ma ... Ke Xu Jing Zhou Xuening Zhu Yingqiu Zhu Hansheng Wang 41 7 0 17 Mar 2024
A review of regularised estimation methods and cross-validation in spatiotemporal statistics Philipp Otto A. Fassò Paolo Maranzano 22 1 0 31 Jan 2024
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets Ruzhang Zhao P. Kundu Arkajyoti Saha Nilanjan Chatterjee 18 2 0 20 Dec 2023
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizations Xiaofei Wu Zhimin Zhang Zhenyu Cui 8 3 0 21 Nov 2023
Variational Inference for Sparse Poisson Regression Mitra Kharabati Morteza Amini 30 1 0 02 Nov 2023
Distributed Linear Regression with Compositional Covariates Yue Chao Lei Huang Xuejun Ma 13 0 0 21 Oct 2023
Partition-Insensitive Parallel ADMM Algorithm for High-dimensional Linear Models Xiaofei Wu Jiancheng Jiang Zhimin Zhang 20 3 0 28 Aug 2023
High-Dimensional Penalized Bernstein Support Vector Machines Rachid Kharoubi A. Mkhadri K. Oualkacha 17 1 0 16 Mar 2023
Maximum a Posteriori Estimation in Graphical Models Using Local Linear Approximation K. Sagar J. Datta Sayantan Banerjee A. Bhadra 24 2 0 13 Mar 2023
Efficient Graph Laplacian Estimation by Proximal Newton Yakov Medvedovsky Eran Treister T. Routtenberg 26 1 0 13 Feb 2023
Retire: Robust Expectile Regression in High Dimensions Rebeka Man Kean Ming Tan Zian Wang Wen-Xin Zhou 15 8 0 11 Dec 2022
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold Muhan Wang Zhe Zhang Xiaolan Qiu Silin Gao Yue Wang 15 10 0 30 Nov 2022
$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
Adaptive Estimation of Graphical Models under Total Positivity Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 26 4 0 27 Oct 2022
Scalable estimation and inference for censored quantile regression process Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 26 12 0 23 Oct 2022
Factor-Augmented Regularized Model for Hazard Regression Pierre Bayle Jianqing Fan 23 4 0 03 Oct 2022
Learning Acceptance Regions for Many Classes with Anomaly Detection Zhou Wang Xingye Qiao 19 0 0 20 Sep 2022
Adaptive LASSO estimation for functional hidden dynamic geostatistical model Paolo Maranzano Philipp Otto A. Fassò 20 13 0 10 Aug 2022
On the instrumental variable estimation with many weak and invalid instruments Yiqi Lin F. Windmeijer Xinyuan Song Qingliang Fan 9 8 0 07 Jul 2022
Feature Selection using e-values S. Majumdar Snigdhansu Chatterjee 15 4 0 11 Jun 2022
Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging Snigdha Panigrahi Natasha Stewart Chandra S. Sripada Elizaveta Levina 24 2 0 27 May 2022
Deterministic Bridge Regression for Compressive Classification Kar-Ann Toh G. Molteni Zhiping Lin AI4CE 14 1 0 18 Mar 2022
Statistical Learning for Individualized Asset Allocation Yi Ding Yingying Li Rui Song 25 0 0 20 Jan 2022
Quasi-Newton acceleration of EM and MM algorithms via Broyden $'$ s method Medha Agarwal Jason Xu 11 0 0 15 Jan 2022
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning Yiyuan She Zhifeng Wang Jiuwu Jin 16 7 0 16 Dec 2021
A Global Two-stage Algorithm for Non-convex Penalized High-dimensional Linear Regression Problems P. Li Min Liu Zhou Yu 8 0 0 23 Nov 2021
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang 11 3 0 02 Nov 2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors Wanjun Liu Xiufan Yu Runze Li 20 13 0 29 Oct 2021
Joint Functional Gaussian Graphical Models Ilias Moysidis Bing Li 27 3 0 13 Oct 2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties Iain Carmichael T. Keefe Naomi Giertych Jonathan P. Williams 23 1 0 11 Oct 2021
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis Bingyuan Liu Q. Zhang Lingzhou Xue P. Song Jian Kang 22 4 0 30 Sep 2021
A Model-free Variable Screening Method Based on Leverage Score Wenxuan Zhong Yiwen Liu Peng Zeng 20 9 0 21 Sep 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
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 29 57 0 12 Sep 2021
$Bayesian $L_{\frac{1}{2}}$ regression$ Bayesian $L_{\frac{1}{2}}$ regression X. Ke Yanan Fan 15 0 0 07 Aug 2021
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property Iain Carmichael 26 2 0 07 Jul 2021
A provable two-stage algorithm for penalized hazards regression Jianqing Fan Wenyan Gong Qiang Sun 13 1 0 06 Jul 2021
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems Peipei Tang Chengjing Wang Bo Jiang 29 2 0 25 Jun 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization Daniel LeJeune Hamid Javadi Richard G. Baraniuk 13 7 0 14 Jun 2021
Sparse recovery based on the generalized error function Zhiyong Zhou 11 5 0 26 May 2021
Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual K. Sagar Sayantan Banerjee J. Datta A. Bhadra 19 10 0 21 Apr 2021
Smoothly Adaptively Centered Ridge Estimator Edoardo Belli 11 3 0 31 Oct 2020