Non-Concave Penalized Likelihood with NP-Dimensionality

6 October 2009

Papers citing "Non-Concave Penalized Likelihood with NP-Dimensionality"

25 / 25 papers shown

Title
Better Locally Private Sparse Estimation Given Multiple Samples Per User Yuheng Ma Ke Jia Hanfang Yang FedML 36 1 0 08 Aug 2024
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 25 21 0 02 Mar 2022
Statistical Learning for Individualized Asset Allocation Yi Ding Yingying Li Rui Song 11 0 0 20 Jan 2022
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 12 57 0 12 Sep 2021
Classification vs regression in overparameterized regimes: Does the loss function matter? Vidya Muthukumar Adhyyan Narang Vignesh Subramanian M. Belkin Daniel J. Hsu A. Sahai 20 148 0 16 May 2020
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning Fei Wen L. Chu Peilin Liu Robert C. Qiu 21 153 0 16 Aug 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 16 285 0 19 Mar 2018
Sparse Poisson Regression with Penalized Weighted Score Function Jinzhu Jia Fang Xie Lihu Xu 21 15 0 11 Mar 2017
Exponentially tilted likelihood inference on growing dimensional unconditional moment models Niansheng Tang Xiaodong Yan Puying Zhao 17 9 0 25 Dec 2016
Asymptotic properties for combined $L_1$ and concave regularization Yingying Fan Jinchi Lv 18 30 0 11 May 2016
Global solutions to folded concave penalized nonconvex learning Hongcheng Liu Tao Yao Runze Li 11 30 0 24 Mar 2016
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection Hongbo Dong Kun Chen Jeff T. Linderoth 15 59 0 20 Oct 2015
Statistical Methods and Computing for Big Data Chun Wang Ming-Hui Chen E. Schifano Jing Wu Jun Yan 21 127 0 27 Feb 2015
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 33 42 0 30 Dec 2014
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 33 166 0 17 Dec 2014
$Sparsistency of $\ell_1$-Regularized $M$-Estimators$ Sparsistency of $\ell_1$ -Regularized $M$ -Estimators Yen-Huan Li Jonathan Scarlett Pradeep Ravikumar V. Cevher 14 21 0 28 Oct 2014
Robust Estimation of High-Dimensional Mean Regression Jianqing Fan Quefeng Li Yuyan Wang 29 30 0 08 Oct 2014
The Lasso for High-Dimensional Regression with a Possible Change-Point S. Lee M. Seo Youngki Shin 55 124 0 21 Sep 2012
Adaptive robust variable selection Jianqing Fan Yingying Fan Emre Barut 86 197 0 22 May 2012
Endogeneity in high dimensions Jianqing Fan Yuan Liao 61 102 0 25 Apr 2012
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Xiaowei Zhou Can Yang Weichuan Yu 58 637 0 05 Sep 2011
Robust rank correlation based screening Gaorong Li Heng Peng Jun Zhang Lixing Zhu 72 321 0 20 Dec 2010
Model Selection Principles in Misspecified Models Jinchi Lv Jun S. Liu 67 140 0 29 May 2010
A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) Jianqing Fan Jinchi Lv 82 906 0 06 Oct 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 176 748 0 04 Apr 2008