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
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty Hongbing Zhang Xinyi Liu Hongtao Fan Yajing Li Yinlin Ye 25 0 0 30 Jan 2022
Asymptotic behaviour of penalized robust estimators in logistic regression when dimension increases Ana M. Bianco G. Boente Gonzalo Chebi 79 2 0 28 Jan 2022
Optimal estimation of Gaussian DAG models Ming Gao W. Tai Bryon Aragam 38 9 0 25 Jan 2022
Statistical Learning for Individualized Asset Allocation Yi Ding Yingying Li Rui Song 22 0 0 20 Jan 2022
A Kernel-Expanded Stochastic Neural Network Y. Sun F. Liang 17 5 0 14 Jan 2022
Estimation and Inference with Proxy Data and its Genetic Applications Sai Li T. Tony Cai Hongzhe Li 14 3 0 11 Jan 2022
Enhanced total variation minimization for stable image reconstruction Congpei An Haonan Wu Xiaoming Yuan 17 5 0 09 Jan 2022
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective Saptarshi Roy Ambuj Tewari Ziwei Zhu 9 4 0 05 Jan 2022
Supervised Homogeneity Fusion: a Combinatorial Approach Wen Wang Shihao Wu Ziwei Zhu Ling Zhou P. Song 14 1 0 04 Jan 2022
Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo Qiang Heng Hua Zhou Eric C. Chi 6 9 0 01 Jan 2022
Variable selection, monotone likelihood ratio and group sparsity C. Butucea E. Mammen M. Ndaoud Alexandre B. Tsybakov 34 3 0 30 Dec 2021
Sparse M-estimators in semi-parametric copula models J. Fermanian B. Poignard 16 2 0 23 Dec 2021
Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning Yiyuan She Zhifeng Wang Jiuwu Jin 11 7 0 16 Dec 2021
Training Structured Neural Networks Through Manifold Identification and Variance Reduction Zih-Syuan Huang Ching-pei Lee AAML 46 9 0 05 Dec 2021
Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression Anupreet Porwal Abel Rodríguez 11 1 0 05 Dec 2021
High-dimensional inference via hybrid orthogonalization Yang Li Zemin Zheng Jia Zhou Ziwei Zhu 14 1 0 26 Nov 2021
A Global Two-stage Algorithm for Non-convex Penalized High-dimensional Linear Regression Problems P. Li Min Liu Zhou Yu 8 0 0 23 Nov 2021
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis Peili Li Yuling Jiao Xiliang Lu Lican Kang 33 2 0 21 Nov 2021
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 10 0 08 Nov 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 20 35 0 04 Nov 2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors Wanjun Liu Xiufan Yu Runze Li 20 13 0 29 Oct 2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties Iain Carmichael T. Keefe Naomi Giertych Jonathan P. Williams 21 1 0 11 Oct 2021
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis Bingyuan Liu Q. Zhang Lingzhou Xue P. Song Jian Kang 20 4 0 30 Sep 2021
Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit Ke Li Yun Yang N. Narisetty 25 7 0 23 Sep 2021
High-dimensional regression with potential prior information on variable importance B. Stokell Rajen Dinesh Shah 20 0 0 23 Sep 2021
Coordinate Descent for MCP/SCAD Penalized Least Squares Converges Linearly Yuling Jiao Dingwei Li Min Liu Xiliang Lu 36 0 0 18 Sep 2021
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields Tatsuya Koyakumaru M. Yukawa Eduardo Pavez Antonio Ortega 27 8 0 17 Sep 2021
Targeted Cross-Validation Jiawei Zhang Jie Ding Yuhong Yang 11 2 0 14 Sep 2021
Policy Optimization Using Semi-parametric Models for Dynamic Pricing Jianqing Fan Yongyi Guo Mengxin Yu 26 30 0 13 Sep 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 27 57 0 12 Sep 2021
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models Prabrisha Rakshit Zhenyu Wang T. Tony Cai Zijian Guo 9 6 0 07 Sep 2021
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions Shibal Ibrahim P. Radchenko E. Ben-David Rahul Mazumder 19 2 0 24 Aug 2021
Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data Lan Luo Ruijian Han Yuanyuan Lin Jian Huang 17 6 0 10 Aug 2021
$Bayesian $L_{\frac{1}{2}}$ regression$ Bayesian $L_{\frac{1}{2}}$ regression X. Ke Yanan Fan 13 0 0 07 Aug 2021
Culling the herd of moments with penalized empirical likelihood Jinyuan Chang Zhentao Shi Jia Zhang 30 4 0 07 Aug 2021
A Robust Partial Correlation-based Screening Approach Xiaochao Xia 16 0 0 24 Jul 2021
Improving COVID-19 Forecasting using eXogenous Variables Mohammadhossein Toutiaee Xiaochuan Li Yogesh R. Chaudhari Shophine Sivaraja Aishwarya Venkataraj Indrajeet Javeri Y. Ke I. Arpinar N. Lazar John A. Miller AI4TS 15 3 0 20 Jul 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework Tianyi Chen Bo Ji Tianyu Ding Biyi Fang Guanyi Wang Zhihui Zhu Luming Liang Yixin Shi Sheng Yi Xiao Tu 16 102 0 15 Jul 2021
Lockout: Sparse Regularization of Neural Networks Gilmer Valdes W. Arbelo Y. Interian J. Friedman 11 2 0 15 Jul 2021
On sure early selection of the best subset Ziwei Zhu Shihao Wu 8 0 0 14 Jul 2021
A provable two-stage algorithm for penalized hazards regression Jianqing Fan Wenyan Gong Qiang Sun 11 1 0 06 Jul 2021
Analyzing Relevance Vector Machines using a single penalty approach A. Dixit Vivekananda Roy 4 0 0 05 Jul 2021
Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method Aramayis Dallakyan Mohsen Pourahmadi CML 12 2 0 04 Jul 2021
A proximal-proximal majorization-minimization algorithm for nonconvex tuning-free robust regression problems Peipei Tang Chengjing Wang Bo Jiang 24 2 0 25 Jun 2021
Identifiability and estimation of meta-elliptical copula generators A. Derumigny J. Fermanian 13 5 0 23 Jun 2021
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables Xu Han Ethan X. Fang C. Tang 28 0 0 16 Jun 2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization Daniel LeJeune Hamid Javadi Richard G. Baraniuk 11 7 0 14 Jun 2021
A News-based Machine Learning Model for Adaptive Asset Pricing Liao Zhu Haoxuan Wu M. Wells AIFin 8 12 0 13 Jun 2021
A Unified Framework for Constructing Nonconvex Regularizations Zhiyong Zhou 14 5 0 11 Jun 2021
Neural Optimization Kernel: Towards Robust Deep Learning Yueming Lyu Ivor Tsang 14 1 0 11 Jun 2021