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Nonparametric Heterogeneity Testing For Massive Data

Nonparametric Heterogeneity Testing For Massive Data

23 January 2016
Junwei Lu
Guang Cheng
Han Liu
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Heterogeneity Testing For Massive Data"

7 / 7 papers shown
Title
Positively Weighted Kernel Quadrature via Subsampling
Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
105
26
0
20 Jul 2021
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
On Function Approximation in Reinforcement Learning: Optimism in the
  Face of Large State Spaces
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces
Zhuoran Yang
Chi Jin
Zhaoran Wang
Mengdi Wang
Michael I. Jordan
97
18
0
09 Nov 2020
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
59
8
0
25 May 2018
An asymptotic analysis of distributed nonparametric methods
An asymptotic analysis of distributed nonparametric methods
Botond Szabó
Harry Van Zanten
77
46
0
08 Nov 2017
Additive Partially Linear Models for Massive Heterogeneous Data
Additive Partially Linear Models for Massive Heterogeneous Data
Binhuan Wang
Yixin Fang
Heng Lian
Hua Liang
64
5
0
13 Jan 2017
Efficient Distributed Learning with Sparsity
Efficient Distributed Learning with Sparsity
Jialei Wang
Mladen Kolar
Nathan Srebro
Tong Zhang
FedML
90
152
0
25 May 2016
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