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
Robust Graph Neural Networks via Unbiased Aggregation Ruiqi Feng Zhichao Hou Tyler Derr Xiaorui Liu 21 0 0 25 Nov 2023
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizations Xiaofei Wu Zhimin Zhang Zhenyu Cui 8 3 0 21 Nov 2023
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization Mateo Dulce Rubio Siqi Zeng Qi Wang Didier Alvarado Francisco Moreno Hoda Heidari Fei Fang 29 2 0 06 Nov 2023
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees Yingzhen Yang Ping Li 18 0 0 03 Nov 2023
Variational Inference for Sparse Poisson Regression Mitra Kharabati Morteza Amini 30 1 0 02 Nov 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity Yujia Zheng Kun Zhang CML 21 16 0 01 Nov 2023
Causal Discovery with Generalized Linear Models through Peeling Algorithms Minjie Wang Xiaotong Shen Wei Pan CML 21 0 0 25 Oct 2023
On the Computational Complexity of Private High-dimensional Model Selection Saptarshi Roy Zehua Wang Ambuj Tewari 22 0 0 11 Oct 2023
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers Zhi-yong Wang H. C. So A. Zoubir 31 5 0 10 Oct 2023
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer Zhi-yong Wang H. C. So A. Zoubir 11 0 0 07 Oct 2023
On optimality of Mallows model averaging Jing Peng Yang Li Yuhong Yang MoMe 17 4 0 23 Sep 2023
On Regularized Sparse Logistic Regression Mengyuan Zhang Kai-Chun Liu 23 1 0 12 Sep 2023
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties Reza Mirzaeifard Naveen K. D. Venkategowda Vinay Chakravarthi Gogineni Stefan Werner 13 3 0 04 Sep 2023
Robust penalized least squares of depth trimmed residuals regression for high-dimensional data Yijun Zuo 11 1 0 04 Sep 2023
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective Masaaki Takada Hironori Fujisawa 16 1 0 30 Aug 2023
Partition-Insensitive Parallel ADMM Algorithm for High-dimensional Linear Models Xiaofei Wu Jiancheng Jiang Zhimin Zhang 18 3 0 28 Aug 2023
Sharp minimax optimality of LASSO and SLOPE under double sparsity assumption Zhifan Li Yanhang Zhang J. Yin 14 3 0 18 Aug 2023
Exact identification of nonlinear dynamical systems by Trimmed Lasso Shawn L. Kiser M. Guskov Marc Rébillat N. Ranc 17 1 0 03 Aug 2023
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique Junxian Zhu Jin Zhu Borui Tang Xuan-qing Chen Hongmei Lin Xueqin Wang 11 2 0 01 Aug 2023
Nonparametric Linear Feature Learning in Regression Through Regularisation Bertille Follain Francis R. Bach 21 3 0 24 Jul 2023
Sparse factor models of high dimension B. Poignard Y. Terada 6 1 0 12 Jul 2023
Deep Unrolling for Nonconvex Robust Principal Component Analysis E. C. Tan C. Chaux Emmanuel Soubies Vincent Y. F. Tan 40 3 0 12 Jul 2023
Sparse-Input Neural Network using Group Concave Regularization Bin Luo S. Halabi 12 2 0 01 Jul 2023
Unified Transfer Learning Models in High-Dimensional Linear Regression S. Liu 20 5 0 01 Jul 2023
Information criteria for structured parameter selection in high dimensional tree and graph models M. Jansen 21 3 0 24 Jun 2023
Structured Learning in Time-dependent Cox Models Guanbo Wang Yimin Lian Archer Y. Yang Robert W. Platt Rui Wang S. Perreault M. Dorais M. Schnitzer 16 2 0 21 Jun 2023
Distributed Semi-Supervised Sparse Statistical Inference Jiyuan Tu Weidong Liu Xiaojun Mao Mingyue Xu 19 1 0 17 Jun 2023
FIRE: An Optimization Approach for Fast Interpretable Rule Extraction Brian Liu Rahul Mazumder 12 4 0 12 Jun 2023
Conditional Matrix Flows for Gaussian Graphical Models M. Negri F. A. Torres Volker Roth 9 2 0 12 Jun 2023
Local Deformation for Interactive Shape Editing Honglin Chen Changxi Zheng K. Wampler 11 2 0 11 Jun 2023
Non-minimaxity of debiased shrinkage estimators Yuzo Maruyama Akimichi Takemura 11 0 0 07 Jun 2023
Revisiting Subgradient Method: Complexity and Convergence Beyond Lipschitz Continuity Xiao Li Lei Zhao Daoli Zhu Anthony Man-Cho So 6 3 0 23 May 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks Yujia Zheng Ignavier Ng Yewen Fan Kun Zhang 11 4 0 19 May 2023
Extended ADMM for general penalized quantile regression with linear constraints in big data Yongxin Liu Peng Zeng 9 0 0 12 May 2023
Slow Kill for Big Data Learning Yiyuan She Jianhui Shen Adrian Barbu 20 3 0 02 May 2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline Boxiang Wang Yunan "Charles" Wu Chenglong Ye MedIm OOD 16 1 0 30 Apr 2023
The Adaptive $τ$ -Lasso: Robustness and Oracle Properties Emadaldin Mozafari-Majd V. Koivunen 17 0 0 18 Apr 2023
Multivariate regression modeling in integrative analysis via sparse regularization Shuichi Kawano T. Fukushima Junichi Nakagawa M. Oshiki 11 2 0 15 Apr 2023
Spectral Gap Regularization of Neural Networks Edric Tam David B. Dunson FedML 19 0 0 06 Apr 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Biwei Huang Kun Zhang CML 26 21 0 04 Apr 2023
KOO approach for scalable variable selection problem in large-dimensional regression Z. Bai K. P. Choi Y. Fujikoshi Jiang Hu 21 1 0 30 Mar 2023
An inexact LPA for DC composite optimization and application to matrix completions with outliers Ting Tao Ru‐feng Liu S. Pan 15 0 0 29 Mar 2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning Tao Ma Hengrui Cai Zhengling Qi C. Shi Eric B. Laber 16 3 0 24 Mar 2023
Bayesian Variable Selection for Function-on-Scalar Regression Models: a comparative analysis P. H. T. O. Sousa Camila P. E. de Souza Ronaldo Dias 20 0 0 06 Mar 2023
Cox reduction and confidence sets of models: a theoretical elucidation R. Lewis H. S. Battey 11 0 0 24 Feb 2023
A model-free feature selection technique of feature screening and random forest based recursive feature elimination Siwei Xia Yuehan Yang 6 12 0 15 Feb 2023
Efficient Graph Laplacian Estimation by Proximal Newton Yakov Medvedovsky Eran Treister T. Routtenberg 26 1 0 13 Feb 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 61 6 0 25 Jan 2023
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression Wenquan Cui Yue Zhao Jianjun Xu Haoyang Cheng FedML 10 1 0 23 Jan 2023
Distributionally Robust Learning with Weakly Convex Losses: Convergence Rates and Finite-Sample Guarantees Landi Zhu Mert Gurbuzbalaban A. Ruszczynski 14 7 0 16 Jan 2023