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
Nonconvex Sparse Logistic Regression with Weakly Convex Regularization Xinyue Shen Yuantao Gu 14 31 0 07 Aug 2017
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers Quanming Yao James T. Kwok Taifeng Wang Tie-Yan Liu 22 94 0 01 Aug 2017
On Lasso refitting strategies Evgenii Chzhen Mohamed Hebiri Joseph Salmon 22 18 0 17 Jul 2017
An Interactive Greedy Approach to Group Sparsity in High Dimensions Wei Qian Wending Li Yasuhiro Sogawa R. Fujimaki Xitong Yang Ji Liu 15 7 0 10 Jul 2017
Shrinkage Estimation Strategies in Generalized Ridge Regression Models Under Low/High-Dimension Regime Bahadir Yuzbacsi M. Arashi S.Ejaz Ahmed 30 27 0 07 Jul 2017
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions Xingguo Li Lin F. Yang J. Ge Jarvis Haupt Tong Zhang T. Zhao 26 14 0 19 Jun 2017
Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models Qiang Sun Kean Ming Tan Han Liu Tong Zhang 8 8 0 04 Jun 2017
Nonconvex penalties with analytical solutions for one-bit compressive sensing Xiaolin Huang Ming Yan 35 28 0 04 Jun 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 50 58 0 16 May 2017
SOFAR: large-scale association network learning Yoshimasa Uematsu Yingying Fan Kun Chen Jinchi Lv Wei Lin CML 24 36 0 26 Apr 2017
Statistical inference for high dimensional regression via Constrained Lasso Yun Yang 29 4 0 17 Apr 2017
A new scope of penalized empirical likelihood with high-dimensional estimating equations Jinyuan Chang C. Tang Tong Tong Wu 31 51 0 03 Apr 2017
Learning Large-Scale Bayesian Networks with the sparsebn Package Bryon Aragam J. Gu Qing Zhou CML 21 55 0 11 Mar 2017
Sparse Poisson Regression with Penalized Weighted Score Function Jinzhu Jia Fang Xie Lihu Xu 36 16 0 11 Mar 2017
Convex and non-convex regularization methods for spatial point processes intensity estimation Achmad Choiruddin Jean‐François Coeurjolly Frédérique Letué 3DPC 35 37 0 07 Mar 2017
An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming Yiyang Wang Risheng Liu Xiaoliang Song Zhixun Su 14 1 0 28 Feb 2017
Horseshoe Regularization for Feature Subset Selection A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 21 9 0 23 Feb 2017
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores Jelena Bradic Mladen Kolar 16 25 0 20 Feb 2017
Linear convergence of SDCA in statistical estimation Chao Qu Huan Xu 43 8 0 26 Jan 2017
A Constructive Approach to High-dimensional Regression Jian Huang Yuling Jiao Yanyan Liu Xiliang Lu 16 4 0 18 Jan 2017
Optimal model averaging forecasting in high-dimensional survival analysis Xiaodong Yan Hongni Wang Wen Wang Jinhan Xie Yan-yan Ren Xinjun Wang 17 17 0 26 Dec 2016
Exponentially tilted likelihood inference on growing dimensional unconditional moment models Niansheng Tang Xiaodong Yan Puying Zhao 31 9 0 25 Dec 2016
Variable Selection with Scalable Bootstrap in Generalized Linear Model for Massive Data Zhibing He Yichen Qin B. Shia Yang Li 18 0 0 06 Dec 2016
On the Exponentially Weighted Aggregate with the Laplace Prior A. Dalalyan Edwin Grappin Q. Paris 27 19 0 25 Nov 2016
A Unified Convex Surrogate for the Schatten- $p$ Norm Chen Xu Zhouchen Lin H. Zha 26 52 0 25 Nov 2016
High-Dimensional Bayesian Regularised Regression with the BayesReg Package E. Makalic Daniel F. Schmidt 27 64 0 21 Nov 2016
Errors-in-variables models with dependent measurements M. Rudelson Shuheng Zhou 31 16 0 15 Nov 2016
Distributed recovery of jointly sparse signals under communication constraints S. Fosson J. Matamoros C. Antón-Haro E. Magli FedML 21 24 0 08 Nov 2016
Embracing the Blessing of Dimensionality in Factor Models Quefeng Li Guang Cheng Jianqing Fan Yuyan Wang 27 34 0 25 Oct 2016
Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression N. Xu Jian Hong Timothy C. G. Fisher 13 2 0 18 Oct 2016
Data Integration with High Dimensionality Xin Gao R. Carroll 19 30 0 03 Oct 2016
$Tuning parameter calibration for $\ell_1$-regularized logistic regression$ Tuning parameter calibration for $\ell_1$ -regularized logistic regression Wei Li Johannes Lederer 29 13 0 01 Oct 2016
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression Mahsa Taheri Néhémy Lim Johannes Lederer 28 3 0 23 Sep 2016
Tensor Graphical Model: Non-convex Optimization and Statistical Inference Xiang Lyu W. Sun Zhaoran Wang Han Liu Jian Yang Guang Cheng CML 18 0 0 15 Sep 2016
Finite-sample and asymptotic analysis of generalization ability with an application to penalized regression N. Xu Jian Hong Timothy C. G. Fisher 10 0 0 12 Sep 2016
On the penalized maximum likelihood estimation of high-dimensional approximate factor model Shaoxin Wang Hu Yang C. Yao 25 0 0 22 Aug 2016
On Nonconvex Decentralized Gradient Descent Jinshan Zeng W. Yin 27 192 0 20 Aug 2016
On Hodges' Superefficiency and Merits of Oracle Property in Model Selection Xianyi Wu Xian Zhou 38 6 0 10 Aug 2016
Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies Kevin L. Keys Gary K. Chen K. Lange 14 7 0 04 Aug 2016
Marginal false discovery rates for penalized regression models P. Breheny 24 28 0 19 Jul 2016
Sparse additive Gaussian process with soft interactions Garret Vo D. Pati 13 10 0 09 Jul 2016
The Simulator: An Engine to Streamline Simulations Jacob Bien 13 18 0 30 Jun 2016
Non-convex regularization in remote sensing D. Tuia Rémi Flamary Michel Barlaud 18 30 0 23 Jun 2016
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity Quanming Yao James T. Kwok 21 52 0 13 Jun 2016
Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization Fanhua Shang Yuanyuan Liu James Cheng 19 52 0 04 Jun 2016
Unified Scalable Equivalent Formulations for Schatten Quasi-Norms Fanhua Shang Yuanyuan Liu James Cheng 11 18 0 02 Jun 2016
Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso N. Xu Jian Hong Timothy C. G. Fisher 23 0 0 01 Jun 2016
Interaction Pursuit with Feature Screening and Selection Yingying Fan Yinfei Kong Daoji Li Jinchi Lv 19 28 0 28 May 2016
Classification of Big Data with Application to Imaging Genetics M. Ulfarsson Frosti Palsson J. Sigurdsson J. Sveinsson 8 22 0 16 May 2016
Prediction risk for the horseshoe regression A. Bhadra J. Datta Yunfan Li Nicholas G. Polson Brandon T. Willard 14 16 0 16 May 2016