Quantile Regression Under Memory Constraint

18 October 2018

Papers citing "Quantile Regression Under Memory Constraint"

12 / 12 papers shown

Title
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression Yixuan Zhang Dongyan Yudong Chen Qiaomin Xie 40 0 0 11 Apr 2025
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties Reza Mirzaeifard Diyako Ghaderyan Stefan Werner 39 2 0 02 Aug 2024
Using ARIMA to Predict the Expansion of Subscriber Data Consumption Mike Nkongolo 48 16 0 23 Apr 2024
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 18 42 0 13 Apr 2023
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 58 9 0 28 Nov 2021
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models Yuan Gao Xuening Zhu Haobo Qi Guodong Li Riquan Zhang Hansheng Wang 25 3 0 02 Nov 2021
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint Rui Pan Yingqiu Zhu Baishan Guo Xuening Zhu Hansheng Wang 24 5 0 03 Oct 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 40 10 0 19 Feb 2021
Smoothed Quantile Regression with Large-Scale Inference Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 24 94 0 09 Dec 2020
Distributed ARIMA Models for Ultra-long Time Series Xiaoqian Wang Yanfei Kang Rob J. Hyndman Feng Li AI4TS 22 50 0 19 Jul 2020
Distributed Inference for Linear Support Vector Machine Xiaozhou Wang Zhuoyi Yang Xi Chen Weidong Liu 29 64 0 29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and Inference Xi Chen Weidong Liu Yichen Zhang 37 48 0 28 Nov 2018