Nearly unbiased variable selection under minimax concave penalty

25 February 2010

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

50 / 689 papers shown

Title
Uncertainty Quantification Under Group Sparsity Qing Zhou Seunghyun Min 20 3 0 05 Jul 2015
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error Jianqing Fan Han Liu Qiang Sun Tong Zhang 32 115 0 03 Jul 2015
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM Léa Laporte Rémi Flamary S. Canu Sébastien Déjean Josiane Mothe 19 101 0 02 Jul 2015
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 32 176 0 15 Jun 2015
No penalty no tears: Least squares in high-dimensional linear models Xiangyu Wang David B. Dunson Chenlei Leng 50 14 0 07 Jun 2015
On the Computational Complexity of High-Dimensional Bayesian Variable Selection Yun Yang Martin J. Wainwright Michael I. Jordan 29 151 0 29 May 2015
A Moreau-Yosida approximation scheme for a class of high-dimensional posterior distributions Yves F. Atchadé 22 11 0 26 May 2015
Sparse and Robust Linear Regression: An Optimization Algorithm and Its Statistical Properties Shota Katayama Hironori Fujisawa 43 10 0 20 May 2015
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation Huan Gui Quanquan Gu 27 28 0 18 May 2015
Mind the duality gap: safer rules for the Lasso Olivier Fercoq Alexandre Gramfort Joseph Salmon 44 138 0 13 May 2015
Penalized Likelihood Estimation in High-Dimensional Time Series Models and its Application Yoshimasa Uematsu AI4TS 35 5 0 25 Apr 2015
Variable selection and estimation for semi-parametric multiple-index models Tao Wang Peirong Xu Lixing Zhu 21 16 0 10 Apr 2015
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax Weijie Su Emmanuel Candes 65 145 0 29 Mar 2015
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators Yuchen Zhang Martin J. Wainwright Michael I. Jordan 20 43 0 11 Mar 2015
On the consistency theory of high dimensional variable screening Xiangyu Wang Chenlei Leng David B. Dunson 42 9 0 24 Feb 2015
Are Discoveries Spurious? Distributions of Maximum Spurious Correlations and Their Applications Jianqing Fan Q. Shao Wen-Xin Zhou 35 38 0 14 Feb 2015
Model Selection Consistency of Lasso for Empirical Data Yuehan Yang Hu Yang 37 2 0 06 Feb 2015
Innovated interaction screening for high-dimensional nonlinear classification Yingying Fan Yinfei Kong Daoji Li Zemin Zheng 29 35 0 05 Jan 2015
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions Yichen Chen Dongdong Ge Mengdi Wang Zizhuo Wang Yinyu Ye Hao Yin 39 10 0 04 Jan 2015
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators Po-Ling Loh 37 192 0 01 Jan 2015
Model Selection for High Dimensional Quadratic Regression via Regularization Ning Hao Yang Feng Hao Helen Zhang 22 104 0 31 Dec 2014
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 28 303 0 30 Dec 2014
On Semiparametric Exponential Family Graphical Models Zhuoran Yang Y. Ning Han Liu 41 32 0 30 Dec 2014
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 34 46 0 23 Dec 2014
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 42 166 0 17 Dec 2014
Valid confidence intervals for post-model-selection predictors F. Bachoc Hannes Leeb B. M. Potscher 44 53 0 15 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 54 46 0 13 Dec 2014
Expanded Alternating Optimization of Nonconvex Functions with Applications to Matrix Factorization and Penalized Regression W. James Murdoch Mu Zhu 27 3 0 12 Dec 2014
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression Y. Ning Tianqi Zhao Han Liu 36 35 0 06 Dec 2014
Generalized Singular Value Thresholding Canyi Lu Changbo Zhu Chunyan Xu Shuicheng Yan Zhouchen Lin 32 203 0 06 Dec 2014
Iterative Subsampling in Solution Path Clustering of Noisy Big Data Y. Marchetti Qing Zhou 11 3 0 04 Dec 2014
A note relating ridge regression and OLS p-values to preconditioned sparse penalized regression Karl Rohe 35 6 0 26 Nov 2014
High-Dimensional Semiparametric Selection Models: Estimation Theory with an Application to the Retail Gasoline Market Ying Zhu 44 1 0 04 Nov 2014
Mean and variance estimation in high-dimensional heteroscedastic models with non-convex penalties James Sharpnack Mladen Kolar 26 1 0 29 Oct 2014
A Greedy Homotopy Method for Regression with Nonconvex Constraints Fabian L. Wauthier P. Donnelly 29 1 0 27 Oct 2014
Rare and Weak effects in Large-Scale Inference: methods and phase diagrams Jiashun Jin Tracy Ke 35 48 0 16 Oct 2014
Robust Estimation of High-Dimensional Mean Regression Jianqing Fan Quefeng Li Yuyan Wang 31 30 0 08 Oct 2014
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees M. Chichignoud Johannes Lederer Martin J. Wainwright 18 13 0 01 Oct 2014
Penalty methods for a class of non-Lipschitz optimization problems Xiaojun Chen Zhaosong Lu Ting Kei Pong 33 2 0 09 Sep 2014
Efficient Regularized Regression for Variable Selection with L0 Penalty Zhenqiu Liu Gang Li 36 4 0 28 Jul 2014
Optimization Methods for Convolutional Sparse Coding H. Bristow Simon Lucey 28 48 0 10 Jun 2014
Discussion: "A significance test for the lasso" Jinchi Lv Zemin Zheng 31 1 0 27 May 2014
Discussion: "A significance test for the lasso" Jianqing Fan Z. Ke 35 4 0 27 May 2014
Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection Longhai Li W. Yao BDL 44 13 0 13 May 2014
Comparisons of penalized least squares methods by simulations Ke Zhang Fan Yin Shifeng Xiong 35 6 0 08 May 2014
Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices Dan Yang Zongming Ma A. Buja 47 29 0 02 May 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization Canyi Lu Jinhui Tang Shuicheng Yan Zhouchen Lin 31 271 0 29 Apr 2014
High Dimensional Semiparametric Latent Graphical Model for Mixed Data Jianqing Fan Han Liu Y. Ning H. Zou 39 120 0 29 Apr 2014
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization Canyi Lu Yunchao Wei Zhouchen Lin Shuicheng Yan 24 22 0 28 Apr 2014
Solution Path Clustering with Adaptive Concave Penalty Y. Marchetti Qing Zhou 34 25 0 24 Apr 2014