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
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization Le‐Yu Chen Jing Xu Luo Luo 17 15 0 16 Jan 2023
Understanding Best Subset Selection: A Tale of Two C(omplex)ities Saptarshi Roy Ambuj Tewari Ziwei Zhu 10 0 0 16 Jan 2023
Optimal Regularization for a Data Source Oscar Leong Eliza O'Reilly Yong Sheng Soh V. Chandrasekaran 17 4 0 27 Dec 2022
On LASSO for High Dimensional Predictive Regression Ziwei Mei Zhentao Shi 11 9 0 14 Dec 2022
Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment Sijia Xia Duo Qiu Xiongjun Zhang 39 5 0 12 Dec 2022
Retire: Robust Expectile Regression in High Dimensions Rebeka Man Kean Ming Tan Zian Wang Wen-Xin Zhou 13 8 0 11 Dec 2022
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold Muhan Wang Zhe Zhang Xiaolan Qiu Silin Gao Yue Wang 15 10 0 30 Nov 2022
An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression Xue Yu Yifan Sun Haijun Zhou 11 2 0 28 Nov 2022
Online Linearized LASSO Shuoguang Yang Yuhao Yan Xiuneng Zhu Qiang Sun 11 3 0 11 Nov 2022
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits Sunrit Chakraborty Saptarshi Roy Ambuj Tewari 13 9 0 11 Nov 2022
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 16 3 0 09 Nov 2022
Sparse Horseshoe Estimation via Expectation-Maximisation Shu Yu Tew Daniel F. Schmidt E. Makalic 12 2 0 07 Nov 2022
Adaptive Estimation of Graphical Models under Total Positivity Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 26 4 0 27 Oct 2022
High-dimensional Measurement Error Models for Lipschitz Loss Xin Ma Suprateek Kundu 13 1 0 26 Oct 2022
Coordinate Descent for SLOPE Johan Larsson Quentin Klopfenstein Mathurin Massias J. Wallin 17 5 0 26 Oct 2022
Scalable estimation and inference for censored quantile regression process Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 21 12 0 23 Oct 2022
Simple Alternating Minimization Provably Solves Complete Dictionary Learning Geyu Liang G. Zhang S. Fattahi Richard Y. Zhang 13 5 0 23 Oct 2022
Learning Acceptance Regions for Many Classes with Anomaly Detection Zhou Wang Xingye Qiao 19 0 0 20 Sep 2022
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples P. Wang Min-ge Xie Linjun Zhang 37 5 0 19 Sep 2022
Inference of nonlinear causal effects with GWAS summary data Ben Dai Chunlin Li Haoran Xue Wei Pan Xiaotong Shen CML 11 3 0 19 Sep 2022
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series Sagnik Halder George Michailidis AI4TS 8 0 0 19 Sep 2022
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm Alexander C. McLain A. Zgodic H. Bondell 23 2 0 16 Sep 2022
Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising Yiwen Shan D. Hu Zhi Wang Tao Jia 13 16 0 16 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 24 4 0 24 Aug 2022
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression Youngseok Kim Wei Wang P. Carbonetto M. Stephens 9 15 0 23 Aug 2022
A sequential stepwise screening procedure for sparse recovery in high-dimensional multiresponse models with complex group structures Weixiong Liang Yuehan Yang 17 1 0 13 Aug 2022
Adaptive LASSO estimation for functional hidden dynamic geostatistical model Paolo Maranzano Philipp Otto A. Fassò 20 13 0 10 Aug 2022
Valid post-selection inference in Robust Q-learning Jeremiah Jones Ashkan Ertefaie Robert L. Strawderman OffRL 11 2 0 05 Aug 2022
$A Screening Strategy for Structured Optimization Involving Nonconvex $\ell_{q,p}$ Regularization$ A Screening Strategy for Structured Optimization Involving Nonconvex $\ell_{q,p}$ Regularization Tiange Li Xiangyu Yang Hao Wang 18 0 0 02 Aug 2022
$Minimax Rates for High-dimensional Double Sparse Structure over $\ell_u(\ell_q)$-balls$ Minimax Rates for High-dimensional Double Sparse Structure over $\ell_u(\ell_q)$ -balls Zhifan Li Yanhang Zhang J. Yin 14 0 0 25 Jul 2022
On the instrumental variable estimation with many weak and invalid instruments Yiqi Lin F. Windmeijer Xinyuan Song Qingliang Fan 9 8 0 07 Jul 2022
Adaptive deep learning for nonlinear time series models Daisuke Kurisu Riku Fukami Yuta Koike AI4TS 8 5 0 06 Jul 2022
Composite Expectile Regression with Gene-environment Interaction Jinghang Lin Yuan Huang Shuangge Ma 23 1 0 02 Jul 2022
CEDAR: Communication Efficient Distributed Analysis for Regressions Changgee Chang Zhiqi Bu Q. Long 9 6 0 01 Jul 2022
Randomized Coordinate Subgradient Method for Nonsmooth Composite Optimization Lei Zhao Ding-Yuan Chen Daoli Zhu Xiao Li 14 1 0 30 Jun 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau Mathurin Massias Alexandre Gramfort Pierre Ablin Pierre-Antoine Bannier Benjamin Charlier ... Binh Duc Nguyen A. Rakotomamonjy Zaccharie Ramzi Joseph Salmon Samuel Vaiter 48 31 0 27 Jun 2022
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function Hongbing Zhang Xinyi Liu Chang-Shu Liu Hongtao Fan Yajing Li Xinyun Zhu 9 7 0 25 Jun 2022
Dynamical Modeling for non-Gaussian Data with High-dimensional Sparse Ordinary Differential Equations Muye Nanshan Nansong Zhang Xiaolei Xun Jiguo Cao 11 2 0 17 Jun 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 18 4 0 15 Jun 2022
A Unified Convergence Theorem for Stochastic Optimization Methods Xiao Li Andre Milzarek 28 11 0 08 Jun 2022
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization Quanming Yao Yaqing Wang Bo Han James T. Kwok 13 2 0 06 May 2022
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression Rebeka Man Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 27 13 0 05 May 2022
Beyond L1: Faster and Better Sparse Models with skglm Quentin Bertrand Quentin Klopfenstein Pierre-Antoine Bannier Gauthier Gidel Mathurin Massias 22 11 0 16 Apr 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 34 12 0 17 Mar 2022
Reducing overestimating and underestimating volatility via the augmented blending-ARCH model Junwen Lu Shao Yi 17 5 0 15 Mar 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear models Xuan Cao Kyoungjae Lee 25 1 0 14 Mar 2022
$A Sharper Computational Tool for $\text{L}_2\text{E}$ Regression$ A Sharper Computational Tool for $\text{L}_2\text{E}$ Regression Xiaoqian Liu Eric C. Chi K. Lange 12 3 0 06 Mar 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 41 22 0 02 Mar 2022
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization Hussein Hazimeh Rahul Mazumder Tim Nonet 11 11 0 10 Feb 2022
Reinforcement Learning with Heterogeneous Data: Estimation and Inference Elynn Y. Chen Rui Song Michael I. Jordan OffRL 10 10 0 31 Jan 2022