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
M-estimation with the Trimmed l1 Penalty Jihun Yun P. Zheng Eunho Yang A. Lozano Aleksandr Aravkin 19 0 0 19 May 2018
Analysis of nonsmooth stochastic approximation: the differential inclusion approach Szymon Majewski B. Miasojedow Eric Moulines 19 49 0 04 May 2018
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems Yulan Liu Shujun Bi S. Pan 29 29 0 30 Apr 2018
GEP-MSCRA for computing the group zero-norm regularized least squares estimator Shujun Bi S. Pan 19 14 0 26 Apr 2018
Between hard and soft thresholding: optimal iterative thresholding algorithms Haoyang Liu Rina Foygel Barber 9 49 0 24 Apr 2018
QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum Liang-Yong Xia Qing-Yong Wang 15 1 0 23 Apr 2018
A refined convergence analysis of pDCA $_e$ with applications to simultaneous sparse recovery and outlier detection Tianxiang Liu Ting Kei Pong Akiko Takeda 24 35 0 19 Apr 2018
High-dimensional Adaptive Minimax Sparse Estimation with Interactions Chenglong Ye Yuhong Yang 17 4 0 06 Apr 2018
The noise barrier and the large signal bias of the Lasso and other convex estimators Pierre C. Bellec 22 18 0 04 Apr 2018
A Novel Framework for Online Supervised Learning with Feature Selection Lizhe Sun Yangzi Guo Siquan Zhu Adrian Barbu 24 12 0 30 Mar 2018
Provable Convex Co-clustering of Tensors Eric C. Chi Brian R. Gaines W. Sun Hua Zhou Jian Yang 27 44 0 17 Mar 2018
False Discovery Rate Control via Debiased Lasso Adel Javanmard Hamid Javadi 31 56 0 12 Mar 2018
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models Yingxiang Yang Adams Wei Yu Zhaoran Wang T. Zhao 21 3 0 11 Mar 2018
Almost Sure Uniqueness of a Global Minimum Without Convexity Gregory Cox 12 12 0 06 Mar 2018
Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms Hussein Hazimeh Rahul Mazumder 37 180 0 05 Mar 2018
Efficient kernel-based variable selection with sparsistency Xin He Junhui Wang Shaogao Lv 35 7 0 26 Feb 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
Estimator of Prediction Error Based on Approximate Message Passing for Penalized Linear Regression A. Sakata 11 1 0 20 Feb 2018
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion Kaiyi Ji Jian Tan Jinfeng Xu Yuejie Chi 31 3 0 16 Feb 2018
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package J. Huling Peter Chien 16 10 0 29 Jan 2018
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms Rahul Mazumder Diego Saldana Haolei Weng 25 13 0 24 Jan 2018
Prediction Error Bounds for Linear Regression With the TREX Jacob Bien Irina Gaynanova Johannes Lederer Christian L. Müller 33 18 0 04 Jan 2018
Sorted Concave Penalized Regression Long Feng Cun-Hui Zhang 21 13 0 28 Dec 2017
Spatial point processes intensity estimation with a diverging number of covariates Achmad Choiruddin Jean‐François Coeurjolly Frédérique Letué 12 1 0 27 Dec 2017
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li-Jia Li Li Fei-Fei NoLa 50 1,439 0 14 Dec 2017
Targeted Random Projection for Prediction from High-Dimensional Features Minerva Mukhopadhyay David B. Dunson 25 15 0 06 Dec 2017
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers Yifan Chen Yuejiao Sun W. Yin 28 5 0 22 Nov 2017
Optimistic Robust Optimization With Applications To Machine Learning Matthew Norton Akiko Takeda Alexander Mafusalov 21 12 0 20 Nov 2017
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems Lei Yang 35 23 0 18 Nov 2017
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction Wenting Ye Xiang Liu Haohan Wang Eric Xing 17 7 0 11 Nov 2017
Debiasing the Debiased Lasso with Bootstrap Sai Li 20 14 0 09 Nov 2017
Oracle inequalities for sign constrained generalized linear models Yuta Koike Y. Tanoue 31 5 0 09 Nov 2017
Learning Sparse Visual Representations with Leaky Capped Norm Regularizers Jianqiao Wangni Dahua Lin 23 1 0 08 Nov 2017
Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis A. Sakata Y. Xu 11 5 0 08 Nov 2017
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables Masaaki Takada Taiji Suzuki Hironori Fujisawa 18 20 0 06 Nov 2017
Generalized Linear Model Regression under Distance-to-set Penalties Jason Xu Eric C. Chi K. Lange 28 36 0 03 Nov 2017
Concave losses for robust dictionary learning Rafael Will M. de Araujo R. Hirata A. Rakotomamonjy 11 4 0 02 Nov 2017
$Iteratively reweighted $\ell_1$ algorithms with extrapolation$ Iteratively reweighted $\ell_1$ algorithms with extrapolation Peiran Yu Ting Kei Pong 25 16 0 22 Oct 2017
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics T. K. Lau Yuan Yao 19 2 0 15 Oct 2017
Sparse High-Dimensional Regression: Exact Scalable Algorithms and Phase Transitions Dimitris Bertsimas Bart P. G. Van Parys 23 158 0 28 Sep 2017
High-dimensional posterior consistency for hierarchical non-local priors in regression Xuan Cao Kshitij Khare M. Ghosh 23 17 0 19 Sep 2017
Generating Compact Tree Ensembles via Annealing Gitesh Dawer Yangzi Guo Adrian Barbu 17 0 0 16 Sep 2017
Semi-standard partial covariance variable selection when irrepresentable conditions fail Fei Xue Annie Qu 26 4 0 14 Sep 2017
Model Selection Confidence Sets by Likelihood Ratio Testing Chao Zheng Davide Ferrari Yuhong Yang 13 19 0 13 Sep 2017
Adaptive Scaling Ting Li Bing-Yi Jing Ningchen Ying Xianshi Yu 17 7 0 02 Sep 2017
A sure independence screening procedure for ultra-high dimensional partially linear additive models Mohammad Kazemi D. Shahsavani M. Arashi 32 7 0 29 Aug 2017
Inference for high-dimensional instrumental variables regression David Gold Johannes Lederer Jing Tao 20 37 0 18 Aug 2017
The Trimmed Lasso: Sparsity and Robustness Dimitris Bertsimas M. Copenhaver Rahul Mazumder 11 38 0 15 Aug 2017
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low Rahul Mazumder P. Radchenko Antoine Dedieu 15 57 0 10 Aug 2017