Least Squares Approximation for a Distributed System

14 August 2019

Papers citing "Least Squares Approximation for a Distributed System"

12 / 12 papers shown

Title
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction Yuan Gao Rui Pan Feng Li Riquan Zhang Hansheng Wang 32 0 0 21 Sep 2024
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques Xuetong Li Yuan Gao Hong Chang Danyang Huang Yingying Ma ... Ke Xu Jing Zhou Xuening Zhu Yingqiu Zhu Hansheng Wang 54 7 0 17 Mar 2024
Distributed Linear Regression with Compositional Covariates Yue Chao Lei Huang Xuejun Ma 31 0 0 21 Oct 2023
Quasi-Newton Updating for Large-Scale Distributed Learning Shuyuan Wu Danyang Huang Hansheng Wang 22 4 0 07 Jun 2023
On the asymptotic properties of a bagging estimator with a massive dataset Yuan Gao Riquan Zhang Hansheng Wang 19 1 0 13 Apr 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 21 42 0 13 Apr 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 34 2 0 09 Jan 2023
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks Yi Ren Zhe Li Xuening Zhu Yuan Gao Hansheng Wang 19 2 0 29 Oct 2022
Majority Vote for Distributed Differentially Private Sign Selection Weidong Liu Jiyuan Tu Xiaojun Mao Xinyu Chen FedML 36 1 0 08 Sep 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning Yajie Bao M. Crawshaw Sha Luo Mingrui Liu FedML 44 16 0 17 Jul 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 40 10 0 19 Feb 2021
Distributed ARIMA Models for Ultra-long Time Series Xiaoqian Wang Yanfei Kang Rob J. Hyndman Feng Li AI4TS 22 50 0 19 Jul 2020