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Smoothed Quantile Regression with Large-Scale Inference

Smoothed Quantile Regression with Large-Scale Inference

9 December 2020
Xuming He
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
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Papers citing "Smoothed Quantile Regression with Large-Scale Inference"

14 / 14 papers shown
Title
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
Sanghee Kim
Sumanta Basu
44
0
0
17 Feb 2025
Smoothed Robust Phase Retrieval
Smoothed Robust Phase Retrieval
Zhong Zheng
Lingzhou Xue
32
2
0
03 Sep 2024
fastkqr: A Fast Algorithm for Kernel Quantile Regression
fastkqr: A Fast Algorithm for Kernel Quantile Regression
Qian Tang
Yuwen Gu
Boxiang Wang
24
1
0
10 Aug 2024
Fast networked data selection via distributed smoothed quantile
  estimation
Fast networked data selection via distributed smoothed quantile estimation
Xu Zhang
Marcos M. Vasconcelos
28
0
0
04 Jun 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency
  and Support Recovery
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery
Caixing Wang
Ziliang Shen
21
0
0
13 May 2024
Private Optimal Inventory Policy Learning for Feature-based Newsvendor
  with Unknown Demand
Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand
Tuoyi Zhao
Wen-Xin Zhou
Lan Wang
24
1
0
23 Apr 2024
Efficient Sparse Least Absolute Deviation Regression with Differential
  Privacy
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
Weidong Liu
Xiaojun Mao
Xiaofei Zhang
Xin Zhang
18
2
0
02 Jan 2024
Safe Collaborative Filtering
Safe Collaborative Filtering
Riku Togashi
Tatsushi Oka
Naoto Ohsaka
Tetsuro Morimura
16
1
0
08 Jun 2023
Robust Estimation and Inference for Expected Shortfall Regression with
  Many Regressors
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors
Xuming He
Kean Ming Tan
Wen-Xin Zhou
21
7
0
11 Dec 2022
Fast Inference for Quantile Regression with Tens of Millions of
  Observations
Fast Inference for Quantile Regression with Tens of Millions of Observations
S. Lee
Yuan Liao
M. Seo
Youngki Shin
24
6
0
29 Sep 2022
Statistical Properties of the log-cosh Loss Function Used in Machine
  Learning
Statistical Properties of the log-cosh Loss Function Used in Machine Learning
Resve A. Saleh
A. Saleh
27
28
0
09 Aug 2022
A Unified Algorithm for Penalized Convolution Smoothed Quantile
  Regression
A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression
Rebeka Man
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
29
13
0
05 May 2022
On the Use of $L$-functionals in Regression Models
On the Use of LLL-functionals in Regression Models
Ola Hössjer
Måns Karlsson
25
3
0
28 Apr 2022
High-Dimensional Quantile Regression: Convolution Smoothing and Concave
  Regularization
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
Kean Ming Tan
Lan Wang
Wen-Xin Zhou
29
56
0
12 Sep 2021
1