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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"

6 / 6 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
31
0
0
26 Oct 2024
A Unified Analysis of Multi-task Functional Linear Regression Models
  with Manifold Constraint and Composite Quadratic Penalty
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
Shiyuan He
Hanxuan Ye
Kejun He
23
0
0
09 Nov 2022
Lipschitz regularity of graph Laplacians on random data clouds
Lipschitz regularity of graph Laplacians on random data clouds
Jeff Calder
Nicolas García Trillos
M. Lewicka
25
30
0
13 Jul 2020
Bayesian nonparametric estimation in the current status continuous mark
  model
Bayesian nonparametric estimation in the current status continuous mark model
G. Jongbloed
Frank van der Meulen
L. Pang
30
1
0
23 Nov 2019
Improved spectral convergence rates for graph Laplacians on
  epsilon-graphs and k-NN graphs
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
Jeff Calder
Nicolas García Trillos
35
40
0
29 Oct 2019
Asymptotic frequentist coverage properties of Bayesian credible sets for
  sieve priors
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
26
22
0
16 Sep 2016
1