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High-Dimensional Quantile Regression: Convolution Smoothing and Concave
  Regularization

High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization

12 September 2021
Kean Ming Tan
Lan Wang
Wen-Xin Zhou
ArXivPDFHTML

Papers citing "High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization"

14 / 14 papers shown
Title
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Canyi Chen
Nan Qiao
Liping Zhu
55
0
0
10 Mar 2025
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
Sanghee Kim
Sumanta Basu
36
0
0
17 Feb 2025
A Conformal Approach to Feature-based Newsvendor under Model
  Misspecification
A Conformal Approach to Feature-based Newsvendor under Model Misspecification
Junyu Cao
73
0
0
17 Dec 2024
Smoothed Robust Phase Retrieval
Smoothed Robust Phase Retrieval
Zhong Zheng
Lingzhou Xue
22
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
14
1
0
10 Aug 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
19
1
0
23 Apr 2024
Safe Collaborative Filtering
Safe Collaborative Filtering
Riku Togashi
Tatsushi Oka
Naoto Ohsaka
Tetsuro Morimura
11
1
0
08 Jun 2023
Computationally Efficient and Statistically Optimal Robust
  High-Dimensional Linear Regression
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
Yinan Shen
Jingyang Li
Jian-Feng Cai
Dong Xia
19
1
0
10 May 2023
Scalable estimation and inference for censored quantile regression
  process
Scalable estimation and inference for censored quantile regression process
Xuming He
Xiaoou Pan
Kean Ming Tan
Wen-Xin Zhou
16
12
0
23 Oct 2022
Distributed Estimation and Inference for Semi-parametric Binary Response
  Models
Distributed Estimation and Inference for Semi-parametric Binary Response Models
X. Chen
Wenbo Jing
Weidong Liu
Yichen Zhang
21
2
0
15 Oct 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
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
14
13
0
05 May 2022
Communication-Constrained Distributed Quantile Regression with Optimal
  Statistical Guarantees
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
Kean Ming Tan
Heather Battey
Wen-Xin Zhou
8
22
0
25 Oct 2021
yaglm: a Python package for fitting and tuning generalized linear models
  that supports structured, adaptive and non-convex penalties
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael
T. Keefe
Naomi Giertych
Jonathan P. Williams
11
1
0
11 Oct 2021
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