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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"

11 / 11 papers shown
Title
Adaptation using spatially distributed Gaussian Processes
Adaptation using spatially distributed Gaussian Processes
Botond Szabó
Amine Hadji
A. van der Vaart
59
2
0
21 Dec 2023
Optimal recovery and uncertainty quantification for distributed Gaussian
  process regression
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
Amine Hadji
Tammo Hesselink
Botond Szabó
72
3
0
06 May 2022
Spike and slab variational Bayes for high dimensional logistic
  regression
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
97
29
0
22 Oct 2020
Distributed function estimation: adaptation using minimal communication
Distributed function estimation: adaptation using minimal communication
Botond Szabó
Harry Van Zanten
66
13
0
28 Mar 2020
Distributed Gaussian Mean Estimation under Communication Constraints:
  Optimal Rates and Communication-Efficient Algorithms
Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
T. Tony Cai
Hongjie Wei
69
27
0
24 Jan 2020
Deep Structured Mixtures of Gaussian Processes
Deep Structured Mixtures of Gaussian Processes
Martin Trapp
Robert Peharz
Franz Pernkopf
C. Rasmussen
GPTPM
77
34
0
10 Oct 2019
Communication-Efficient Accurate Statistical Estimation
Communication-Efficient Accurate Statistical Estimation
Jianqing Fan
Yongyi Guo
Kaizheng Wang
61
114
0
12 Jun 2019
Understanding and Comparing Scalable Gaussian Process Regression for Big
  Data
Understanding and Comparing Scalable Gaussian Process Regression for Big Data
Haitao Liu
Jianfei Cai
Yew-Soon Ong
Yi Wang
75
26
0
03 Nov 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs
When Gaussian Process Meets Big Data: A Review of Scalable GPs
Haitao Liu
Yew-Soon Ong
Xiaobo Shen
Jianfei Cai
GP
144
697
0
03 Jul 2018
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
52
8
0
25 May 2018
Adaptive distributed methods under communication constraints
Adaptive distributed methods under communication constraints
Botond Szabó
Harry Van Zanten
80
24
0
03 Apr 2018
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