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Divide and Conquer Local Average Regression
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Divide and Conquer Local Average Regression

Xiangyu Chang
Shaobo Lin
Yao Wang
    MoMe
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Papers citing "Divide and Conquer Local Average Regression"

10 / 10 papers shown
Title
Byzantine-tolerant distributed learning of finite mixture models
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
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
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
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
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
Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang
Jiahua Chen
104
8
0
20 Oct 2020
Distributed Learning with Dependent Samples
Distributed Learning with Dependent Samples
Zirui Sun
Shao-Bo Lin
53
7
0
10 Feb 2020
Least Squares Approximation for a Distributed System
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
Parallelizing Spectral Algorithms for Kernel Learning
Gilles Blanchard
Nicole Mücke
67
15
0
24 Oct 2016
Constructive neural network learning
Constructive neural network learning
Shaobo Lin
Jinshan Zeng
Xiaoqin Zhang
72
31
0
30 Apr 2016