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
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models Beilun Wang Ritambhara Singh Yanjun Qi 24 12 0 11 May 2016
Asymptotic properties for combined $L_1$ and concave regularization Yingying Fan Jinchi Lv 29 30 0 11 May 2016
Tuning parameter selection in high dimensional penalized likelihood Yingying Fan C. Tang 23 325 0 11 May 2016
Innovated scalable efficient estimation in ultra-large Gaussian graphical models Yingying Fan Jinchi Lv 21 38 0 11 May 2016
The constrained Dantzig selector with enhanced consistency Yinfei Kong Zemin Zheng Jinchi Lv 19 10 0 11 May 2016
Asymptotic equivalence of regularization methods in thresholded parameter space Yingying Fan Jinchi Lv 23 54 0 11 May 2016
High dimensional thresholded regression and shrinkage effect Zemin Zheng Yingying Fan Jinchi Lv 24 69 0 11 May 2016
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction Xingguo Li R. Arora Han Liu Jarvis Haupt T. Zhao 18 68 0 09 May 2016
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis Bo Jiang Tianyi Lin Shiqian Ma Shuzhong Zhang 23 146 0 09 May 2016
A Tight Bound of Hard Thresholding Jie Shen Ping Li 22 90 0 05 May 2016
Methods for Sparse and Low-Rank Recovery under Simplex Constraints Ping Li Syama Sundar Rangapuram M. Slawski 17 18 0 02 May 2016
Further properties of the forward-backward envelope with applications to difference-of-convex programming Tianxiang Liu Ting Kei Pong 10 49 0 01 May 2016
Robust and Sparse Regression via $γ$ -divergence Takayuki Kawashima Hironori Fujisawa 8 36 0 22 Apr 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 49 96 0 28 Mar 2016
Global solutions to folded concave penalized nonconvex learning Hongcheng Liu Tao Yao Runze Li 13 30 0 24 Mar 2016
An Ensemble EM Algorithm for Bayesian Variable Selection Jin Wang Feng Liang Yuan Ji 24 3 0 14 Mar 2016
Bayesian Variable Selection for Skewed Heteroscedastic Response Libo Wang Yuanyuan Tang D. Sinha D. Pati S. Lipsitz 22 3 0 29 Feb 2016
Top-N Recommendation with Novel Rank Approximation Zhao Kang Q. Cheng 39 10 0 25 Feb 2016
A survey of sparse representation: algorithms and applications Zheng-Wei Zhang Yong-mei Xu Jian Yang Xuelong Li David C. Zhang AI4TS 22 984 0 23 Feb 2016
Bayesian generalized fused lasso modeling via NEG distribution Kaito Shimamura Masao Ueki Shuichi Kawano S. Konishi 16 16 0 16 Feb 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods Guoyin Li Ting Kei Pong 102 291 0 09 Feb 2016
Greedy algorithms for prediction Alessio Sancetta AI4TS 21 21 0 05 Feb 2016
Partially linear additive quantile regression in ultra-high dimension Ben Sherwood Lan Wang 27 110 0 22 Jan 2016
Ridge regression and asymptotic minimax estimation over spheres of growing dimension Lee H. Dicker 28 75 0 15 Jan 2016
On the Finite-Sample Analysis of $Θ$ -estimators Yiyuan She 16 3 0 13 Dec 2015
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity Qiaoya Zhang Yiyuan She 14 1 0 12 Dec 2015
AcSel: selecting variables with accuracy in correlated datasets Jung Nicolas F. Bertrand M. Maumy-Bertrand 18 1 0 10 Dec 2015
Fast Low-Rank Matrix Learning with Nonconvex Regularization Quanming Yao James T. Kwok Leon Wenliang Zhong 19 45 0 03 Dec 2015
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 21 42 0 29 Nov 2015
Sparse Recovery via Partial Regularization: Models, Theory and Algorithms Zhaosong Lu Xiaorui Li 13 37 0 23 Nov 2015
What Objective Does Self-paced Learning Indeed Optimize? Deyu Meng Qian Zhao Lu Jiang 16 77 0 19 Nov 2015
Robust PCA via Nonconvex Rank Approximation Zhao Kang Chong Peng Q. Cheng 35 160 0 17 Nov 2015
A Prediction Divergence Criterion for Model Selection S. Guerrier Maria-Pia Victoria-Feser 22 2 0 14 Nov 2015
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 30 46 0 10 Nov 2015
Enhanced Low-Rank Matrix Approximation Ankit Parekh I. Selesnick 37 85 0 06 Nov 2015
False Discoveries Occur Early on the Lasso Path Weijie Su M. Bogdan Emmanuel Candes 37 180 0 05 Nov 2015
Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models Degui Li Y. Ke Wenyang Zhang 16 35 0 29 Oct 2015
Nonconvex Penalization in Sparse Estimation: An Approach Based on the Bernstein Function Zhihua Zhang 22 0 0 29 Oct 2015
Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm Canyi Lu Jinhui Tang Shuicheng Yan Zhouchen Lin 14 294 0 23 Oct 2015
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection Hongbo Dong Kun Chen Jeff T. Linderoth 42 59 0 20 Oct 2015
Robust Learning for Optimal Treatment Decision with NP-Dimensionality C. Shi Rui Song Wenbin Lu 21 30 0 15 Oct 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 27 83 0 17 Sep 2015
Sparse Fisher's Linear Discriminant Analysis for Partially Labeled Data Qiyi Lu Xingye Qiao 19 14 0 17 Sep 2015
Robust Reduced Rank Regression Yiyuan She Kun Chen 27 58 0 14 Sep 2015
Macroeconomic Forecasting and Variable Selection with a Very Large Number of Predictors: A Penalized Regression Approach Yoshimasa Uematsu Shinya Tanaka 9 5 0 18 Aug 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 32 196 0 11 Aug 2015
Robustness in sparse linear models: relative efficiency based on robust approximate message passing Jelena Bradic 35 12 0 31 Jul 2015
Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-Dimensional Settings Minsuk Shin A. Bhattacharya V. Johnson 33 44 0 25 Jul 2015
Homotopy Continuation Approaches for Robust SV Classification and Regression S. Suzumura Kohei Ogawa Masashi Sugiyama Masayuki Karasuyama Ichiro Takeuchi AAML 21 11 0 12 Jul 2015
Best Subset Selection via a Modern Optimization Lens Dimitris Bertsimas Angela King Rahul Mazumder 38 657 0 11 Jul 2015