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
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions Danial Davarnia Mohammadreza Kiaghadi 19 0 0 06 May 2025
Robust Orthogonal NMF with Label Propagation for Image Clustering Jingjing Liu Nian Wu Xianchao Xiu J. Zhang 29 0 0 30 Apr 2025
Adaptive Classification of Interval-Valued Time Series Wan Tian Zhongfeng Qin AI4TS 34 0 0 04 Apr 2025
Communication-Efficient l_0 Penalized Least Square Chenqi Gong Hu Yang 58 0 0 01 Apr 2025
Parameter-free structure-texture image decomposition by unrolling Laura Girometti Jean-François Aujol Antoine Guennec Yann Traonmilin 48 0 0 17 Mar 2025
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine Canyi Chen Nan Qiao Liping Zhu 60 0 0 10 Mar 2025
An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition Qingsong Wang Yunfei Qu Chunfeng Cui Deren Han 91 2 0 04 Mar 2025
Adaptive Accelerated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization Ganzhao Yuan 40 0 0 28 Feb 2025
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression Sanghee Kim Sumanta Basu 39 0 0 17 Feb 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 106 0 0 04 Feb 2025
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning Jingruo Sun Zachary Frangella Madeleine Udell 31 0 0 28 Jan 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 38 1 0 19 Jan 2025
Asymptotics for estimating a diverging number of parameters - with and without sparsity Jana Gauss Thomas Nagler 71 0 0 26 Nov 2024
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance Yilin Zhang Songshan Yang Y. Wu Lan Wang 66 0 0 19 Nov 2024
Adaptive signal recovery in sparse nonparametric models Natalia Stepanova Marie Turcicova 29 0 0 06 Nov 2024
Sparse Linear Regression: Sequential Convex Relaxation, Robust Restricted Null Space Property, and Variable Selection Shujun Bi Yonghua Yang S. Pan 25 0 0 02 Nov 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou Weizhi Gao Yuchen Shen Feiyi Wang Xiaorui Liu VLM 28 2 0 30 Oct 2024
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models Jiachang Liu Rui Zhang Cynthia Rudin 26 0 0 24 Oct 2024
Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors Zhenhao Zhang 17 0 0 22 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 34 0 0 08 Oct 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression Kai Tan Pierre C. Bellec 26 0 0 03 Oct 2024
Group lasso based selection for high-dimensional mediation analysis Allan Jérolon Flora Alarcon Florence Pittion Magali Richard Olivier François Etienne E. Birmelé Vittorio Perduca 24 0 0 30 Sep 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization Weiyou Liu Zhenyang Li Weitong Chen AAML 22 1 0 28 Aug 2024
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity Ignavier Ng Yujia Zheng Xinshuai Dong Kun Zhang CML 37 5 0 19 Aug 2024
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties Reza Mirzaeifard Diyako Ghaderyan Stefan Werner 23 0 0 10 Aug 2024
DC Algorithm for Estimation of Sparse Gaussian Graphical Models Tomokaze Shiratori Yuichi Takano 23 0 0 08 Aug 2024
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties Reza Mirzaeifard Diyako Ghaderyan Stefan Werner 31 2 0 02 Aug 2024
$Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization$ Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization Hao Wang Xiangyu Yang Yichen Zhu 44 0 0 24 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 22 1 0 18 Jul 2024
A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution Kunjing Yang Minru Bai TingLu 31 0 0 07 Jul 2024
Euler's Elastica Based Cartoon-Smooth-Texture Image Decomposition Roy Y. He Hao Liu 25 1 0 03 Jul 2024
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression Dongya Wu Xin Li 31 0 0 26 Jun 2024
Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization Hao Wang Ye Wang Xiangyu Yang 28 0 0 22 Jun 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior Madeline Navarro Samuel Rey Andrei Buciulea Antonio G. Marques Santiago Segarra 43 5 0 13 Jun 2024
Profiled Transfer Learning for High Dimensional Linear Model Ziqian Lin Junlong Zhao Fang Wang Han Wang 37 1 0 02 Jun 2024
Adaptive debiased SGD in high-dimensional GLMs with streaming data Ruijian Han Lan Luo Yuanhang Luo Yuanyuan Lin Jian Huang 29 0 0 28 May 2024
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty Saptarshi Roy Debabrota Basu FedML 31 1 0 22 May 2024
Transfer Learning for Spatial Autoregressive Models Hao Zeng Wei Zhong Xingbai Xu 31 0 0 20 May 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 19 0 0 13 May 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 23 5 0 02 May 2024
Decoupled Weight Decay for Any $p$ Norm N. Outmezguine Noam Levi 19 2 0 16 Apr 2024
Covariance Regression with High-Dimensional Predictors Yuheng He Changliang Zou Yi Zhao 22 0 0 10 Apr 2024
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li 29 1 0 20 Mar 2024
Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression Xin Li Dongya Wu 14 0 0 05 Mar 2024
A network-constrain Weibull AFT model for biomarkers discovery Claudia Angelini D. Canditiis I. Feis Antonella Iuliano 21 0 0 28 Feb 2024
Robust support vector machines via conic optimization Valentina Cepeda Andrés Gómez Shaoning Han 17 0 0 02 Feb 2024
Empirical Likelihood Inference over Decentralized Networks Jinye Du Qihua Wang 20 2 0 23 Jan 2024
Robust variable selection for partially linear additive models Graciela Boente Alejandra Martínez 11 1 0 19 Jan 2024
Sparse PCA with Oracle Property Quanquan Gu Zhaoran Wang Han Liu 18 29 0 28 Dec 2023
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization Junwen Qiu Xiao Li Andre Milzarek 37 2 0 02 Dec 2023