Communication-efficient estimation of quantile matrix regression for massive datasets

Sparse and Low-Rank Matrix Quantile Estimation With Application to Quadratic Regression

(2021) Wenqi Lu et al.   STATISTICA SINICA

Communication-efficient estimation of high-dimensional quantile regression

(2020) Lei Wang et al.   Analysis and Applications

Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty

(2019) Yuxin Wen et al.   IEEE Transactions on Neural Networks and Learning Systems

Communication-Efficient Distributed Statistical Inference

(2018) Michael I. Jordan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition

(2017) Jianchun Xie et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes

(2017) Jian Yang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Parallel Algorithm for Large-Scale Nonconvex Penalized Quantile Regression

(2017) Liqun Yu et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Robust nuclear norm regularized regression for face recognition with occlusion

(2015) Jianjun Qian et al.   PATTERN RECOGNITION

Regularized matrix regression

(2013) Hua Zhou et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Estimation of (near) low-rank matrices with noise and high-dimensional scaling

(2011) Sahand Negahban et al.   ANNALS OF STATISTICS

Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion

(2011) Vladimir Koltchinskii et al.   ANNALS OF STATISTICS

ℓ1-penalized quantile regression in high-dimensional sparse models

(2010) Alexandre Belloni et al.   ANNALS OF STATISTICS