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Estimating a smooth function on a large graph by Bayesian Laplacian
  regularisation

Estimating a smooth function on a large graph by Bayesian Laplacian regularisation

8 November 2015
A. Kirichenko
Harry Van Zanten
    BDL
ArXivPDFHTML

Papers citing "Estimating a smooth function on a large graph by Bayesian Laplacian regularisation"

8 / 8 papers shown
Title
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
57
0
0
26 Oct 2024
Minimax lower bounds for function estimation on graphs
Minimax lower bounds for function estimation on graphs
A. Kirichenko
Harry Van Zanten
44
10
0
19 Sep 2017
Asymptotic behaviour of the empirical Bayes posteriors associated to
  maximum marginal likelihood estimator
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
Judith Rousseau
Botond Szabó
55
56
0
19 Apr 2015
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Botond Szabó
Van der Vaart
V. Zanten
69
159
0
16 Oct 2013
Thomas Bayes' walk on manifolds
Thomas Bayes' walk on manifolds
I. Castillo
G. Kerkyacharian
D. Picard
278
46
0
03 Jun 2012
The sparse Laplacian shrinkage estimator for high-dimensional regression
The sparse Laplacian shrinkage estimator for high-dimensional regression
Jian Huang
Shuangge Ma
Hongzhe Li
Cun-Hui Zhang
83
104
0
15 Dec 2011
Rates of contraction of posterior distributions based on Gaussian
  process priors
Rates of contraction of posterior distributions based on Gaussian process priors
Van der Vaart
V. Zanten
168
427
0
18 Jun 2008
Reproducing kernel Hilbert spaces of Gaussian priors
Reproducing kernel Hilbert spaces of Gaussian priors
Van der Vaart
V. Zanten
90
224
0
21 May 2008
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