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An asymptotic analysis of distributed nonparametric methods

An asymptotic analysis of distributed nonparametric methods

8 November 2017
Botond Szabó
Harry Van Zanten
ArXiv (abs)PDFHTML

Papers citing "An asymptotic analysis of distributed nonparametric methods"

20 / 20 papers shown
Title
Adaptive distributed methods under communication constraints
Adaptive distributed methods under communication constraints
Botond Szabó
Harry Van Zanten
74
24
0
03 Apr 2018
Distributed Nonparametric Regression under Communication Constraints
Distributed Nonparametric Regression under Communication Constraints
Yuancheng Zhu
John D. Lafferty
48
26
0
04 Mar 2018
Distributed inference for quantile regression processes
Distributed inference for quantile regression processes
S. Volgushev
Shih-Kang Chao
Guang Cheng
514
131
0
21 Jan 2017
Efficient Distributed Learning with Sparsity
Efficient Distributed Learning with Sparsity
Jialei Wang
Mladen Kolar
Nathan Srebro
Tong Zhang
FedML
69
152
0
25 May 2016
Nonparametric Heterogeneity Testing For Massive Data
Nonparametric Heterogeneity Testing For Massive Data
Junwei Lu
Guang Cheng
Han Liu
34
19
0
23 Jan 2016
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
C. Heinze
Brian McWilliams
N. Meinshausen
128
37
0
08 Jun 2015
Communication-efficient sparse regression: a one-shot approach
Communication-efficient sparse regression: a one-shot approach
Jason D. Lee
Yuekai Sun
Qiang Liu
Jonathan E. Taylor
94
66
0
14 Mar 2015
Distributed Gaussian Processes
Distributed Gaussian Processes
M. Deisenroth
Jun Wei Ng
GP
86
342
0
10 Feb 2015
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process
  Regression
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression
Jun Wei Ng
M. Deisenroth
73
51
0
09 Dec 2014
Generalized Product of Experts for Automatic and Principled Fusion of
  Gaussian Process Predictions
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao
David J. Fleet
69
186
0
28 Oct 2014
A sharp adaptive confidence ball for self-similar functions
A sharp adaptive confidence ball for self-similar functions
Richard Nickl
Botond Szabó
64
36
0
16 Jun 2014
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Robust and Scalable Bayes via a Median of Subset Posterior Measures
Stanislav Minsker
Sanvesh Srivastava
Lizhen Lin
David B. Dunson
116
110
0
11 Mar 2014
Communication Efficient Distributed Optimization using an Approximate
  Newton-type Method
Communication Efficient Distributed Optimization using an Approximate Newton-type Method
Ohad Shamir
Nathan Srebro
Tong Zhang
103
557
0
30 Dec 2013
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Botond Szabó
Van der Vaart
V. Zanten
107
159
0
16 Oct 2013
Fast Computation of Wasserstein Barycenters
Fast Computation of Wasserstein Barycenters
Marco Cuturi
Arnaud Doucet
OT
121
743
0
16 Oct 2013
Bayes procedures for adaptive inference in inverse problems for the
  white noise model
Bayes procedures for adaptive inference in inverse problems for the white noise model
B. Knapik
Botond Szabó
A. van der Vaart
J. H. Zanten
71
81
0
17 Sep 2012
Honest adaptive confidence bands and self-similar functions
Honest adaptive confidence bands and self-similar functions
Adam D. Bull
83
68
0
22 Oct 2011
Bayesian inverse problems with Gaussian priors
Bayesian inverse problems with Gaussian priors
B. Knapik
A. van der Vaart
J. H. Zanten
114
228
0
14 Mar 2011
Confidence bands in density estimation
Confidence bands in density estimation
Evarist Giné
Richard Nickl
264
177
0
25 Feb 2010
Bayesian inference with rescaled Gaussian process priors
Bayesian inference with rescaled Gaussian process priors
A. van der Vaart
Harry Van Zanten
221
90
0
19 Oct 2007
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