Nearly unbiased variable selection under minimax concave penalty

25 February 2010

Papers citing "Nearly unbiased variable selection under minimax concave penalty"

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Title
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 27 20 0 26 Dec 2019
A Simple Correction Procedure for High-Dimensional Generalized Linear Models with Measurement Error M. Byrd M. McGee 17 1 0 26 Dec 2019
MM for Penalized Estimation Zhu Wang 13 3 0 23 Dec 2019
Bayesian high-dimensional linear regression with generic spike-and-slab priors Bai Jiang Qiang Sun 13 3 0 19 Dec 2019
A sparse negative binomial mixture model for clustering RNA-seq count data Tanbin Rahman Yujia Li Tianzhou Ma Lu Tang G. Tseng 17 8 0 05 Dec 2019
Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data Xu Han 21 7 0 03 Dec 2019
$Sparse recovery via nonconvex regularized $M$-estimators over $\ell_q$-balls$ Sparse recovery via nonconvex regularized $M$ -estimators over $\ell_q$ -balls Xin Li Dongya Wu Chong Li Jinhua Wang J. Yao FedML 21 4 0 19 Nov 2019
Nonconvex Nonsmooth Low-Rank Minimization for Generalized Image Compressed Sensing via Group Sparse Representation Yunyi Li Li Liu Yu Zhao Xiefeng Cheng Guan Gui 4 13 0 18 Nov 2019
$Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression$ Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression Xuzhao Li Yaohua Hu Chong Li Xiaoqi Yang T. Jiang 22 0 0 12 Nov 2019
Integrative Factor Regression and Its Inference for Multimodal Data Analysis Quefeng Li Lexin Li 17 26 0 11 Nov 2019
Scalable Algorithms for Large Competing Risks Data E. Kawaguchi Jenny I. Shen M. Suchard Gang Li 6 8 0 07 Nov 2019
Global Adaptive Generative Adjustment Bin Wang Xiaofei Wang Jianhua Guo 9 1 0 02 Nov 2019
Penalized quasi likelihood estimation for variable selection Yoshiki Kinoshita Nakahiro Yoshida 11 8 0 28 Oct 2019
High-dimensional robust approximated M-estimators for mean regression with asymmetric data Bin Luo Xiaoli Gao 4 2 0 21 Oct 2019
First order expansion of convex regularized estimators Pierre C. Bellec Arun K. Kuchibhotla 14 2 0 12 Oct 2019
Computing the degrees of freedom of rank-regularized estimators and cousins Rahul Mazumder Haolei Weng 11 3 0 23 Sep 2019
Robust Estimation and Shrinkage in Ultrahigh Dimensional Expectile Regression with Heavy Tails and Variance Heterogeneity Jun Zhao G. Yan Yi Zhang 21 14 0 20 Sep 2019
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization Chen Chen Jaewoo Lee 15 3 0 18 Sep 2019
Higher Order Refinements by Bootstrap in Lasso and other Penalized Regression Methods Debraj Das A. Chatterjee S. Lahiri 9 1 0 14 Sep 2019
Regularized deep learning with nonconvex penalties Sujit Vettam Majnu John 11 5 0 11 Sep 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 14 96 0 27 Aug 2019
Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data Jun Zhao G. Yan Yi Zhang 22 3 0 18 Aug 2019
Least Squares Approximation for a Distributed System Xuening Zhu Feng Li Hansheng Wang 9 53 0 14 Aug 2019
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 43 35 0 10 Aug 2019
Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data Nir Billfeld Moshe Kim 15 1 0 06 Aug 2019
Doubly-Robust Lasso Bandit Gi-Soo Kim M. Paik 24 60 0 26 Jul 2019
Stability selection enables robust learning of partial differential equations from limited noisy data S. Maddu B. Cheeseman I. Sbalzarini Christian L. Müller 18 20 0 17 Jul 2019
Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models B. Huynh Faicel Chamroukhi 11 14 0 14 Jul 2019
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration Yunyi Li Guan Gui Xiefeng Cheng 11 0 0 10 Jul 2019
$Iteratively Reweighted $\ell_1$-Penalized Robust Regression$ Iteratively Reweighted $\ell_1$ -Penalized Robust Regression Xiaoou Pan Qiang Sun Wen-Xin Zhou 17 4 0 09 Jul 2019
Improving Lasso for model selection and prediction P. Pokarowski Wojciech Rejchel Agnieszka Soltys Michal Frej J. Mielniczuk 23 10 0 05 Jul 2019
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms Feiping Nie Zhanxuan Hu Xiaoqian Wang Rong Wang Xuelong Li Heng-Chiao Huang 17 0 0 02 Jul 2019
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 22 13 0 25 Jun 2019
Model selection for high-dimensional linear regression with dependent observations C. Ing 14 18 0 18 Jun 2019
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 25 71 0 13 Jun 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 19 110 0 12 Jun 2019
Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum Cho-Ying Wu Jian-Jiun Ding 16 3 0 06 Jun 2019
Enhancing Multi-model Inference with Natural Selection Ching-Wei Cheng Guang Cheng 6 1 0 06 Jun 2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties R. Varma Harlin Lee J. Kovacevic Yuejie Chi 14 33 0 29 May 2019
Adaptive Function-on-Scalar Regression with a Smoothing Elastic Net Ardalan Mirshani M. Reimherr 19 6 0 23 May 2019
A Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk E. Kawaguchi Jenny I. Shen Gang Li M. Suchard 11 12 0 17 May 2019
Efficient Low-Rank Semidefinite Programming with Robust Loss Functions Quanming Yao Hansi Yang En-Liang Hu James T. Kwok 30 2 0 12 May 2019
Structural Equation Models as Computation Graphs E. V. Kesteren Daniel L. Oberski 12 1 0 11 May 2019
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models Tianxi Cai Tony Cai Zijian Guo CML LM&MA 19 13 0 29 Apr 2019
Optimizing regularized Cholesky score for order-based learning of Bayesian networks Qiaoling Ye Arash A. Amini Qing Zhou BDL CML 20 28 0 28 Apr 2019
T-SVD Based Non-convex Tensor Completion and Robust Principal Component Analysis Tao Li Jinwen Ma 27 9 0 23 Apr 2019
Automatic Target Detection for Sparse Hyperspectral Images Ahmad W. Bitar J. Ovarlez L. Cheong A. Chehab 14 2 0 14 Apr 2019
Precision Matrix Estimation with Noisy and Missing Data Roger Fan B. Jang Yuekai Sun Shuheng Zhou 11 7 0 07 Apr 2019
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems Peipei Tang Chengjing Wang Defeng Sun Kim-Chuan Toh 11 20 0 27 Mar 2019
Feature Selection for Data Integration with Mixed Multi-view Data Yulia Baker Tiffany M. Tang Genevera I. Allen 9 15 0 27 Mar 2019