Smoothed Quantile Regression with Large-Scale Inference

9 December 2020

Papers citing "Smoothed Quantile Regression with Large-Scale Inference"

21 / 21 papers shown

Title
A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression Sanghee Kim Sumanta Basu 44 0 0 17 Feb 2025
Smoothed Robust Phase Retrieval Zhong Zheng Lingzhou Xue 34 2 0 03 Sep 2024
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 Xu Zhang Marcos M. Vasconcelos 33 0 0 04 Jun 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 24 0 0 13 May 2024
Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand Tuoyi Zhao Wen-Xin Zhou Lan Wang 29 1 0 23 Apr 2024
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy Weidong Liu Xiaojun Mao Xiaofei Zhang Xin Zhang 20 2 0 02 Jan 2024
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 Xuming He Kean Ming Tan Wen-Xin Zhou 21 7 0 11 Dec 2022
High-dimensional Measurement Error Models for Lipschitz Loss Xin Ma Suprateek Kundu 15 1 0 26 Oct 2022
Scalable estimation and inference for censored quantile regression process Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 26 12 0 23 Oct 2022
Distributed Estimation and Inference for Semi-parametric Binary Response Models Xinyu Chen Wenbo Jing Weidong Liu Yichen Zhang 26 2 0 15 Oct 2022
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 Resve A. Saleh A. Saleh 29 29 0 09 Aug 2022
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 Ola Hössjer Måns Karlsson 27 3 0 28 Apr 2022
Statistical Inference for Functional Linear Quantile Regression Peijun Sang Zuofeng Shang Pang Du 11 3 0 23 Feb 2022
Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression Resve A. Saleh A. Saleh 13 2 0 08 Nov 2021
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees Kean Ming Tan Heather Battey Wen-Xin Zhou 18 22 0 25 Oct 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization Kean Ming Tan Lan Wang Wen-Xin Zhou 29 56 0 12 Sep 2021
Automatic Debiased Machine Learning via Riesz Regression Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis OOD CML 15 4 0 30 Apr 2021