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Nonparametric Bayesian label prediction on a large graph using truncated
  Laplacian regularization

Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization

13 April 2018
Jarno Hartog
Harry Van Zanten
ArXivPDFHTML

Papers citing "Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization"

7 / 7 papers shown
Title
Uncertainty quantification in graph-based classification of high
  dimensional data
Uncertainty quantification in graph-based classification of high dimensional data
Andrea L. Bertozzi
Xiyang Luo
Andrew M. Stuart
K. Zygalakis
UQCV
28
21
0
26 Mar 2017
Nonparametric Bayesian label prediction on a graph
Nonparametric Bayesian label prediction on a graph
Jarno Hartog
Harry Van Zanten
18
14
0
06 Dec 2016
Full adaptation to smoothness using randomly truncated series priors
  with Gaussian coefficients and inverse gamma scaling
Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling
J. van Waaij
Harry Van Zanten
31
3
0
06 Sep 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of
  Linear Smoothers
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Veeranjaneyulu Sadhanala
Yu Wang
Robert Tibshirani
49
74
0
26 May 2016
Estimating a smooth function on a large graph by Bayesian Laplacian
  regularisation
Estimating a smooth function on a large graph by Bayesian Laplacian regularisation
A. Kirichenko
Harry Van Zanten
BDL
29
32
0
08 Nov 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
285
3,278
0
09 Jun 2012
Fast simulation of truncated Gaussian distributions
Fast simulation of truncated Gaussian distributions
Nicolas Chopin
52
138
0
30 Jan 2012
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