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
High-Dimensional Linear Regression via Implicit Regularization P. Zhao Yun Yang Qiaochu He 13 25 0 22 Mar 2019
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm Fei Wen R. Ying Peilin Liu T. Truong 9 2 0 02 Mar 2019
Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration T. Obuchi A. Sakata 14 6 0 27 Feb 2019
De-Biasing The Lasso With Degrees-of-Freedom Adjustment Pierre C. Bellec Cun-Hui Zhang 10 28 0 24 Feb 2019
Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control A. Sakata T. Obuchi 26 4 0 20 Feb 2019
Screening Rules for Lasso with Non-Convex Sparse Regularizers A. Rakotomamonjy Gilles Gasso Joseph Salmon 36 24 0 16 Feb 2019
Kurdyka-Łojasiewicz exponent via inf-projection Peiran Yu Guoyin Li Ting Kei Pong 8 17 0 10 Feb 2019
Honest confidence sets for high-dimensional regression by projection and shrinkage Kun Zhou Ker-Chau Li Qing Zhou 11 4 0 01 Feb 2019
Rank-one Convexification for Sparse Regression Alper Atamtürk A. Gómez 11 50 0 29 Jan 2019
Optimal Sparsity Testing in Linear regression Model Alexandra Carpentier Nicolas Verzélen 16 9 0 25 Jan 2019
Algorithmic Bayesian Group Gibbs Selection Alan B. Lenarcic W. Valdar 9 0 0 09 Jan 2019
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization Michael Weylandt John Nagorski Genevera I. Allen 11 31 0 06 Jan 2019
$Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural Networks$ Transformed $\ell_1$ Regularization for Learning Sparse Deep Neural Networks Rongrong Ma Jianyu Miao Lingfeng Niu Peng Zhang 17 6 0 04 Jan 2019
Generalized Score Matching for Non-Negative Data Shiqing Yu Mathias Drton Ali Shojaie 24 2 0 26 Dec 2018
Optimal False Discovery Control of Minimax Estimator Qifan Song Guang Cheng 25 1 0 25 Dec 2018
A Unifying Framework of High-Dimensional Sparse Estimation with Difference-of-Convex (DC) Regularizations Shanshan Cao X. Huo J. Pang 19 4 0 18 Dec 2018
$$\ell_0$-Motivated Low-Rank Sparse Subspace Clustering$ $\ell_0$ -Motivated Low-Rank Sparse Subspace Clustering Maria Brbic I. Kopriva 20 47 0 17 Dec 2018
A biconvex analysis for Lasso l1 reweighting S. Fosson 17 4 0 07 Dec 2018
Online Learning and Decision-Making under Generalized Linear Model with High-Dimensional Data Xue Wang Mike Mingcheng Wei Tao Yao 15 4 0 07 Dec 2018
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence Yi Tian Xu Qi Qi Qihang Lin Rong Jin Tianbao Yang 37 41 0 28 Nov 2018
Bilinear Parameterization For Differentiable Rank-Regularization Marcus Valtonen Örnhag Carl Olsson A. Heyden 11 10 0 27 Nov 2018
A unified algorithm for the non-convex penalized estimation: The ncpen package Dongshin Kim Sangin Lee Sunghoon Kwon 14 6 0 13 Nov 2018
An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss Cheng-Long Wang Binyan Jiang 9 25 0 12 Nov 2018
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 20 33 0 09 Nov 2018
Sparse and Smooth Signal Estimation: Convexification of L0 Formulations Alper Atamtürk A. Gómez Shaoning Han 18 43 0 06 Nov 2018
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold Shixiang Chen Shiqian Ma Anthony Man-Cho So Tong Zhang 26 15 0 02 Nov 2018
HMLasso: Lasso with High Missing Rate Masaaki Takada Hironori Fujisawa Takeichiro Nishikawa 16 1 0 01 Nov 2018
Spectral Analysis of High-dimensional Time Series M. Fiecas Chenlei Leng Weidong Liu Yi Yu AI4TS 27 30 0 26 Oct 2018
Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods Hao Wang Fan Zhang Yuanming Shi Yaohua Hu 11 28 0 24 Oct 2018
Model Selection Techniques -- An Overview Jie Ding Vahid Tarokh Yuhong Yang 13 258 0 22 Oct 2018
A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems Ehsan Kazemi Liqiang Wang 9 3 0 17 Oct 2018
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications Fanhua Shang James Cheng Yuanyuan Liu Zhi-Quan Luo Zhouchen Lin 12 147 0 11 Oct 2018
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 27 2 0 09 Oct 2018
Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior Chang-rui Liu Yue Yang H. Bondell Ryan Martin 26 8 0 01 Oct 2018
Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior Q. Cai Jian Kang Tianwei Yu 21 15 0 29 Sep 2018
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties Fan He X. Huang Yipeng Liu Ming Yan 23 3 0 12 Sep 2018
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines Lei Guan Linbo Qiao Dongsheng Li Tao Sun Ke-shi Ge Xicheng Lu 36 14 0 11 Sep 2018
Semiparametric model averaging for high dimensional conditional quantile prediction Jingwen Tu Hu Yang Chaohui Guo 28 2 0 05 Sep 2018
On an improvement of LASSO by scaling K. Hagiwara 14 0 0 22 Aug 2018
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen Zhuoning Yuan Jinfeng Yi Bowen Zhou Enhong Chen Tianbao Yang 13 58 0 20 Aug 2018
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning Fei Wen L. Chu Peilin Liu Robert C. Qiu 23 153 0 16 Aug 2018
Sparse Multivariate ARCH Models: Finite Sample Properties B. Poignard 19 1 0 16 Aug 2018
Low Rank Regularization: A Review Zhanxuan Hu Feiping Nie Rong Wang Xuelong Li 25 77 0 14 Aug 2018
FasTer: Fast Tensor Completion with Nonconvex Regularization Quanming Yao James T. Kwok Bo Han 13 1 0 23 Jul 2018
A Unified Framework for Sparse Relaxed Regularized Regression: SR3 P. Zheng T. Askham Steven L. Brunton J. Nathan Kutz Aleksandr Aravkin 12 136 0 14 Jul 2018
Recovering Trees with Convex Clustering Eric C. Chi Stefan Steinerberger 8 30 0 28 Jun 2018
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications T. Tony Cai Zijian Guo 24 59 0 16 Jun 2018
Scalable Algorithms for the Sparse Ridge Regression Weijun Xie Xinwei Deng 20 10 0 11 Jun 2018
l0-norm Based Centers Selection for Training Fault Tolerant RBF Networks and Selecting Centers Hao Wang C. Leung Hayden Kwok-Hay So Ruibin Feng Zi-Fa Han 7 0 0 30 May 2018
Stochastic Gradient Descent for Stochastic Doubly-Nonconvex Composite Optimization Takayuki Kawashima Hironori Fujisawa 6 2 0 21 May 2018