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On the Feasibility of Distributed Kernel Regression for Big Data

On the Feasibility of Distributed Kernel Regression for Big Data

5 May 2015
Chen Xu
Yongquan Zhang
Runze Li
ArXiv (abs)PDFHTML

Papers citing "On the Feasibility of Distributed Kernel Regression for Big Data"

4 / 4 papers shown
Title
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
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge
  Regression
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
Jingyi Zhang
Xiaoxiao Sun
46
0
0
13 Jul 2021
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and
  RKHS
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS
Yong Liu
Lizhong Ding
Weiping Wang
27
0
0
09 Mar 2020
Parallelizing Spectral Algorithms for Kernel Learning
Parallelizing Spectral Algorithms for Kernel Learning
Gilles Blanchard
Nicole Mücke
44
15
0
24 Oct 2016
1