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1509.02957
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Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression
9 September 2015
Congrui Yi
Jian Huang
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Papers citing
"Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression"
34 / 34 papers shown
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A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
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17 Feb 2025
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
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03 Sep 2024
Automatic detection of Mild Cognitive Impairment using high-dimensional acoustic features in spontaneous speech
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Wenxing Guo
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102
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29 Aug 2024
fastkqr: A Fast Algorithm for Kernel Quantile Regression
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Yuwen Gu
Boxiang Wang
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10 Aug 2024
AntibodyFlow: Normalizing Flow Model for Designing Antibody Complementarity-Determining Regions
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Y Samuel Wang
Wenyu Chen
Shimin Shan
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19 Jun 2024
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Weidong Liu
Xiaojun Mao
Xiaofei Zhang
Xin Zhang
242
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02 Jan 2024
A unified consensus-based parallel ADMM algorithm for high-dimensional regression with combined regularizations
Xiaofei Wu
Zhimin Zhang
Zhenyu Cui
224
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21 Nov 2023
Multi-block linearized alternating direction method for sparse fused Lasso modeling problems
Xiaofei Wu
Rongmei Liang
Zhimin Zhang
Zhenyu Cui
202
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18 Nov 2023
High-Dimensional Penalized Bernstein Support Vector Machines
Rachid Kharoubi
A. Mkhadri
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184
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16 Mar 2023
Retire: Robust Expectile Regression in High Dimensions
Rebeka Man
Kean Ming Tan
Zian Wang
Wen-Xin Zhou
198
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11 Dec 2022
On Exact Feature Screening in Ultrahigh-dimensional Binary Classification
Journal of Computational And Graphical Statistics (JCGS), 2022
Sarbojit Roy
Soham Sarkar
S. Dutta
A. Ghosh
248
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0
08 May 2022
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression
Journal of Computational And Graphical Statistics (JCGS), 2022
Rebeka Man
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
175
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05 May 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
Journal of machine learning research (JMLR), 2021
Kean Ming Tan
Heather Battey
Wen-Xin Zhou
224
32
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25 Oct 2021
Classification with Nearest Disjoint Centroids
Nicolas Fraiman
Zichao Li
106
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21 Sep 2021
Towards Sustainable Census Independent Population Estimation in Mozambique
Isaac Neal
S. Seth
Gary R. Watmough
M. Diallo
71
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26 Apr 2021
Robust selection of predictors and conditional outlier detection in a perturbed large-dimensional regression context
M. Farné
A. Vouldis
47
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25 Apr 2021
Scalable algorithms for semiparametric accelerated failure time models in high dimensions
Statistics in Medicine (Stat. Med.), 2021
P. Suder
Aaron J. Molstad
146
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04 Apr 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator
IEEE International Conference on Computer Vision (ICCV), 2021
Shichao Xu
Lixu Wang
Yixuan Wang
Qi Zhu
236
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15 Feb 2021
Smoothed Quantile Regression with Large-Scale Inference
Journal of Econometrics (J. Econometrics), 2020
Xuming He
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
335
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09 Dec 2020
Support estimation in high-dimensional heteroscedastic mean regression
P. Hermann
H. Holzmann
369
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Unified Robust Estimation
Zhu Wang
221
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06 Oct 2020
Cascade Convolutional Neural Network for Image Super-Resolution
Jianwei Zhang
Zhenxing Wang
Yuhui Zheng
Guoqing Zhang
SupR
162
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24 Aug 2020
Aggregated hold out for sparse linear regression with a robust loss function
Electronic Journal of Statistics (EJS), 2020
G. Maillard
FedML
259
1
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26 Feb 2020
MM for Penalized Estimation
Test (Madrid) (TM), 2019
Zhu Wang
159
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23 Dec 2019
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors
M. Kubkowski
J. Mielniczuk
156
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10 Jun 2019
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Jian Huang
Yuling Jiao
Xiliang Lu
Yueyong Shi
Qinglong Yang
158
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09 Oct 2018
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports
Jérôme Dockès
Demian Wassermann
R. Poldrack
Fabian M. Suchanek
Bertrand Thirion
Gaël Varoquaux
MedIm
79
6
0
04 Jun 2018
Adaptive elastic-net selection in a quantile model with diverging number of variable groups
Gabriela Ciuperca
192
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0
16 May 2018
A Semi-Smooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning
Yueyong Shi
Jian Huang
Yuling Jiao
Qinglong Yang
172
4
0
24 Feb 2018
Improved Quantile Regression Estimators when the Errors are Independently and Non-identically Distributed
Bahadir Yuzbacsi
Yasin Asar
A. Demiralp
M. Csik
31
1
0
06 Sep 2017
Pretest and Stein-Type Estimations in Quantile Regression Model
Bahadir Yuzbacsi
Yasin Asar
M. Csik
A. Demiralp
35
2
0
12 Jul 2017
On Bayesian robust regression with diverging number of predictors
D. Nevo
Yaácov Ritov
128
8
0
08 Jul 2015
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