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
Online Debiased Lasso for Streaming Data Ruijian Han Lan Luo Yuanyuan Lin Jian Huang 16 5 0 10 Jun 2021
Ultra High Dimensional Change Point Detection Xin Liu Liwen Zhang Zhen Zhang 30 0 0 09 Jun 2021
Nonconvex Optimization via MM Algorithms: Convergence Theory K. Lange Joong-Ho Won Alfonso Landeros Hua Zhou 14 10 0 05 Jun 2021
Transfer Learning under High-dimensional Generalized Linear Models Ye Tian Yang Feng 35 117 0 29 May 2021
Sparse recovery based on the generalized error function Zhiyong Zhou 13 5 0 26 May 2021
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model Yu Wang Alfred Hero 36 4 0 26 May 2021
Group selection and shrinkage: Structured sparsity for semiparametric additive models Ryan Thompson Farshid Vahid 16 1 0 25 May 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 32 2 0 14 May 2021
Quantized Proximal Averaging Network for Analysis Sparse Coding Kartheek Kumar Reddy Nareddy Mani Madhoolika Bulusu P. Pokala C. Seelamantula MQ 26 1 0 13 May 2021
A new perspective on low-rank optimization Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 17 15 0 12 May 2021
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion S. Mache P. Pokala K. Rajendran C. Seelamantula 53 4 0 01 May 2021
The Hessian Screening Rule Johan Larsson J. Wallin 40 3 0 27 Apr 2021
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters Kyubaek Yoon Hojun You Wei-Ying Wu C. Lim Jongeun Choi ... A. Ramadan J. Popovich J. Cholewicki N. P. Reeves C. Radcliffe 9 4 0 23 Apr 2021
A Splicing Approach to Best Subset of Groups Selection Yanhang Zhang Junxian Zhu Jin Zhu Xueqin Wang 21 18 0 23 Apr 2021
Bridging between soft and hard thresholding by scaling K. Hagiwara 17 5 0 20 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives Hussein Hazimeh Rahul Mazumder P. Radchenko 35 27 0 14 Apr 2021
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes Ruipeng Dong Daoji Li Zemin Zheng 57 3 0 11 Apr 2021
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network S. Mache P. Pokala K. Rajendran C. Seelamantula 27 8 0 10 Apr 2021
A New Perspective on Debiasing Linear Regressions Yufei Yi Matey Neykov 38 2 0 08 Apr 2021
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors Zhiyuan Li 11 0 0 24 Mar 2021
Elastic Net Regularization Paths for All Generalized Linear Models J. K. Tay B. Narasimhan Trevor Hastie 21 277 0 05 Mar 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference Jiyuan Tu Weidong Liu Xiaojun Mao Xi Chen 11 20 0 04 Mar 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Carlo DÉramo Jan Peters Joni Pajarinen 40 23 0 25 Feb 2021
Divide-and-conquer methods for big data analysis Xueying Chen Jerry Q. Cheng Min‐ge Xie 14 8 0 22 Feb 2021
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares Hiroaki Yamada M. Yamada 17 6 0 08 Feb 2021
RaSE: A Variable Screening Framework via Random Subspace Ensembles Ye Tian Yang Feng 20 12 0 07 Feb 2021
Structured Sparsity Inducing Adaptive Optimizers for Deep Learning T. Deleu Yoshua Bengio ODL 14 21 0 07 Feb 2021
Minimizing L1 over L2 norms on the gradient Chao Wang M. Tao Chen-Nee Chuah J. Nagy Y. Lou 38 20 0 04 Jan 2021
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise Jie Shen 17 10 0 19 Dec 2020
Approximate Laplace approximations for scalable model selection D. Rossell Oriol Abril A. Bhattacharya 19 15 0 14 Dec 2020
Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi Ruoyu Wang Zhi-Ming Ma 14 2 0 04 Dec 2020
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 38 252 0 23 Nov 2020
A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond Hanzhong Liu Fuyi Tu Wei Ma CML 12 21 0 19 Nov 2020
A Discussion on Practical Considerations with Sparse Regression Methodologies Owais Sarwar Benjamin Sauk N. Sahinidis 9 3 0 18 Nov 2020
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation Kristjan Greenewald Dmitriy A. Katz-Rogozhnikov Karthikeyan Shanmugam CML 39 9 0 03 Nov 2020
Ridge regression with adaptive additive rectangles and other piecewise functional templates Edoardo Belli S. Vantini 6 2 0 02 Nov 2020
Smoothly Adaptively Centered Ridge Estimator Edoardo Belli 16 3 0 31 Oct 2020
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization Arthur Marmin M. Castella J. Pesquet L. Duval 18 7 0 29 Oct 2020
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion Takeyuki Sasai Hironori Fujisawa 25 0 0 25 Oct 2020
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors Jincheng Bai Qifan Song Guang Cheng BDL 9 4 0 24 Oct 2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization Digvijay Boob Qi Deng Guanghui Lan Yilin Wang 18 9 0 23 Oct 2020
Learning Graph Laplacian with MCP Yangjing Zhang Kim-Chuan Toh Defeng Sun 35 8 0 22 Oct 2020
Non-convex Super-resolution of OCT images via sparse representation G. Scrivanti L. Calatroni S. Morigi Lindsay B. Nicholson A. Achim SupR 14 2 0 22 Oct 2020
Improving Network Slimming with Nonconvex Regularization Kevin Bui Fredrick Park Shuai Zhang Y. Qi Jack Xin 21 9 0 03 Oct 2020
Optimization Landscapes of Wide Deep Neural Networks Are Benign Johannes Lederer 11 8 0 02 Oct 2020
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties Kai Yang M. Asgharian S. Bhatnagar 11 1 0 22 Sep 2020
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 17 21 0 22 Sep 2020
Model detection and variable selection for mode varying coefficient model Xuejun Ma Yue Du Jingli Wang 6 2 0 22 Sep 2020
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning Guannan Liang Qianqian Tong Jiahao Ding Miao Pan J. Bi 17 0 0 14 Sep 2020
Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews Ying Chen Peng Liu C. Teo 11 2 0 09 Sep 2020