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Computational Limits of A Distributed Algorithm For Smoothing Spline
v1v2 (latest)

Computational Limits of A Distributed Algorithm For Smoothing Spline

31 December 2015
Zuofeng Shang
Guang Cheng
ArXiv (abs)PDFHTML

Papers citing "Computational Limits of A Distributed Algorithm For Smoothing Spline"

7 / 7 papers shown
Title
How Many Machines Can We Use in Parallel Computing for Kernel Ridge
  Regression?
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?
Meimei Liu
Zuofeng Shang
Guang Cheng
21
8
0
25 May 2018
Non-asymptotic theory for nonparametric testing
Non-asymptotic theory for nonparametric testing
Yun Yang
Zuofeng Shang
Guang Cheng
38
9
0
04 Feb 2017
Distributed inference for quantile regression processes
Distributed inference for quantile regression processes
S. Volgushev
Shih-Kang Chao
Guang Cheng
495
131
0
21 Jan 2017
A Partially Linear Framework for Massive Heterogeneous Data
A Partially Linear Framework for Massive Heterogeneous Data
Tianqi Zhao
Guang Cheng
Han Liu
285
128
0
30 Oct 2014
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with
  Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang
John C. Duchi
Martin J. Wainwright
323
378
0
22 May 2013
Local and global asymptotic inference in smoothing spline models
Local and global asymptotic inference in smoothing spline models
Zuofeng Shang
Guang Cheng
70
59
0
30 Dec 2012
Optimal estimation of the mean function based on discretely sampled
  functional data: Phase transition
Optimal estimation of the mean function based on discretely sampled functional data: Phase transition
T. Tony Cai
M. Yuan
116
117
0
23 Feb 2012
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