Divide and Conquer Local Average Regression

v1v2 (latest)

Divide and Conquer Local Average Regression

23 January 2016

ArXiv (abs)PDF HTML

Papers citing "Divide and Conquer Local Average Regression"

10 / 10 papers shown

Title
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 144 0 0 19 Jul 2024
On the asymptotic properties of a bagging estimator with a massive dataset Yuan Gao Riquan Zhang Hansheng Wang 44 1 0 13 Apr 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 74 43 0 13 Apr 2023
Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks Yi Ren Zhe Li Xuening Zhu Yuan Gao Hansheng Wang 30 3 0 29 Oct 2022
Radial Basis Function Approximation with Distributively Stored Data on Spheres Han Feng Shao-Bo Lin Ding-Xuan Zhou 26 8 0 05 Dec 2021
Distributed Learning of Finite Gaussian Mixtures Qiong Zhang Jiahua Chen 104 8 0 20 Oct 2020
Distributed Learning with Dependent Samples Zirui Sun Shao-Bo Lin 53 7 0 10 Feb 2020
Least Squares Approximation for a Distributed System Xuening Zhu Feng Li Hansheng Wang 48 56 0 14 Aug 2019
Parallelizing Spectral Algorithms for Kernel Learning Gilles Blanchard Nicole Mücke 67 15 0 24 Oct 2016
Constructive neural network learning Shaobo Lin Jinshan Zeng Xiaoqin Zhang 72 31 0 30 Apr 2016