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Divide and Conquer Local Average Regression
v1v2 (latest)

Divide and Conquer Local Average Regression

23 January 2016
Xiangyu Chang
Shaobo Lin
Yao Wang
    MoMe
ArXiv (abs)PDFHTML

Papers citing "Divide and Conquer Local Average Regression"

14 / 14 papers shown
Byzantine-tolerant distributed learning of finite mixture models
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang
Jiahua Chen
Jiahua Chen
399
0
0
19 Jul 2024
A Selective Review on Statistical Methods for Massive Data Computation:
  Distributed Computing, Subsampling, and Minibatch Techniques
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
234
18
0
17 Mar 2024
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed
  Learning Scheme for Data Silos
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Di Wang
Xiaotong Liu
Shao-Bo Lin
Ding-Xuan Zhou
268
2
0
08 Sep 2023
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
201
1
0
13 Apr 2023
A review of distributed statistical inference
A review of distributed statistical inferenceStatistical Theory and Related Fields (STRF), 2021
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
286
57
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 NetworksJournal of Econometrics (JE), 2022
Yi Ren
Zhe Li
Xuening Zhu
Yuan Gao
Hansheng Wang
321
6
0
29 Oct 2022
Radial Basis Function Approximation with Distributively Stored Data on
  Spheres
Radial Basis Function Approximation with Distributively Stored Data on SpheresConstructive approximation (Constr. Approx.), 2021
Han Feng
Shao-Bo Lin
Ding-Xuan Zhou
252
9
0
05 Dec 2021
Distributed Learning of Finite Gaussian Mixtures
Distributed Learning of Finite Gaussian MixturesJournal of machine learning research (JMLR), 2020
Qiong Zhang
Jiahua Chen
519
10
0
20 Oct 2020
Distributed Kernel Ridge Regression with Communications
Distributed Kernel Ridge Regression with CommunicationsJournal of machine learning research (JMLR), 2020
Shao-Bo Lin
Di Wang
Ding-Xuan Zhou
276
38
0
27 Mar 2020
Distributed Learning with Dependent Samples
Distributed Learning with Dependent SamplesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Zirui Sun
Shao-Bo Lin
367
9
0
10 Feb 2020
On a Nadaraya-Watson Estimator with Two Bandwidths
On a Nadaraya-Watson Estimator with Two BandwidthsElectronic Journal of Statistics (EJS), 2020
Fabienne Comte
Nicolas Marie
347
8
0
26 Jan 2020
Least Squares Approximation for a Distributed System
Least Squares Approximation for a Distributed SystemJournal of Computational And Graphical Statistics (JCGS), 2019
Xuening Zhu
Feng Li
Hansheng Wang
491
69
0
14 Aug 2019
Parallelizing Spectral Algorithms for Kernel Learning
Parallelizing Spectral Algorithms for Kernel Learning
Gilles Blanchard
Nicole Mücke
485
15
0
24 Oct 2016
Constructive neural network learning
Constructive neural network learning
Shaobo Lin
Jinshan Zeng
Xiaoqin Zhang
255
31
0
30 Apr 2016
1
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