ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.10089
  4. Cited By
A maximum principle argument for the uniform convergence of graph
  Laplacian regressors

A maximum principle argument for the uniform convergence of graph Laplacian regressors

29 January 2019
Nicolas García Trillos
Ryan W. Murray
ArXivPDFHTML

Papers citing "A maximum principle argument for the uniform convergence of graph Laplacian regressors"

22 / 22 papers shown
Title
Properly-weighted graph Laplacian for semi-supervised learning
Properly-weighted graph Laplacian for semi-supervised learning
Jeff Calder
D. Slepčev
SSL
38
57
0
10 Oct 2018
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning
  Algorithms
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms
Matthew M. Dunlop
D. Slepčev
Andrew M. Stuart
Matthew Thorpe
30
60
0
23 May 2018
Error estimates for spectral convergence of the graph Laplacian on
  random geometric graphs towards the Laplace--Beltrami operator
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator
Nicolas García Trillos
Moritz Gerlach
Matthias Hein
D. Slepčev
83
172
0
30 Jan 2018
The game theoretic p-Laplacian and semi-supervised learning with few
  labels
The game theoretic p-Laplacian and semi-supervised learning with few labels
Jeff Calder
47
75
0
28 Nov 2017
Analysis of $p$-Laplacian Regularization in Semi-Supervised Learning
Analysis of ppp-Laplacian Regularization in Semi-Supervised Learning
D. Slepčev
Matthew Thorpe
32
114
0
19 Jul 2017
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems
Nicolas García Trillos
D. Sanz-Alonso
34
28
0
22 Jun 2017
A Transportation $L^p$ Distance for Signal Analysis
A Transportation LpL^pLp Distance for Signal Analysis
Matthew Thorpe
Serim Park
Soheil Kolouri
Gustavo K. Rohde
D. Slepčev
OT
51
40
0
27 Sep 2016
A new analytical approach to consistency and overfitting in regularized
  empirical risk minimization
A new analytical approach to consistency and overfitting in regularized empirical risk minimization
Nicolas García Trillos
Ryan W. Murray
23
20
0
01 Jul 2016
Kernel-based Reconstruction of Graph Signals
Kernel-based Reconstruction of Graph Signals
Daniel Romero
Meng Ma
G. Giannakis
49
182
0
23 May 2016
On the measure of Voronoi cells
On the measure of Voronoi cells
Luc Devroye
László Gyorfi
Gábor Lugosi
Harro Walk
OT
24
24
0
14 Dec 2015
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
34
32
0
08 Nov 2015
A variational approach to the consistency of spectral clustering
A variational approach to the consistency of spectral clustering
Nicolas García Trillos
D. Slepčev
59
128
0
08 Aug 2015
Consistency of Cheeger and Ratio Graph Cuts
Consistency of Cheeger and Ratio Graph Cuts
Nicolas García Trillos
D. Slepčev
J. V. Brecht
T. Laurent
Xavier Bresson
38
83
0
24 Nov 2014
Trend Filtering on Graphs
Trend Filtering on Graphs
Yu Wang
James Sharpnack
Alex Smola
Robert Tibshirani
50
243
0
28 Oct 2014
Rates of Convergence for Nearest Neighbor Classification
Rates of Convergence for Nearest Neighbor Classification
Kamalika Chaudhuri
S. Dasgupta
125
147
0
30 Jun 2014
Continuum limit of total variation on point clouds
Continuum limit of total variation on point clouds
Nicolás García Trillos
D. Slepčev
3DPC
53
146
0
25 Mar 2014
Minimal Dirichlet energy partitions for graphs
Minimal Dirichlet energy partitions for graphs
Braxton Osting
Christopher D. White
É. Oudet
62
42
0
22 Aug 2013
Adaptive piecewise polynomial estimation via trend filtering
Adaptive piecewise polynomial estimation via trend filtering
Robert Tibshirani
63
395
0
10 Apr 2013
Nonparametric sparsity and regularization
Nonparametric sparsity and regularization
Lorenzo Rosasco
S. Villa
S. Mosci
M. Santoro
A. Verri
103
102
0
13 Aug 2012
k-NN Regression Adapts to Local Intrinsic Dimension
k-NN Regression Adapts to Local Intrinsic Dimension
Samory Kpotufe
271
128
0
19 Oct 2011
Spectral clustering and the high-dimensional stochastic blockmodel
Spectral clustering and the high-dimensional stochastic blockmodel
Karl Rohe
S. Chatterjee
Bin Yu
199
931
0
09 Jul 2010
Consistency of spectral clustering
Consistency of spectral clustering
U. V. Luxburg
M. Belkin
Olivier Bousquet
118
417
0
04 Apr 2008
1