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From graph cuts to isoperimetric inequalities: Convergence rates of
  Cheeger cuts on data clouds
v1v2 (latest)

From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds

Archive for Rational Mechanics and Analysis (ARMA), 2020
20 April 2020
Nicolas García Trillos
Ryan W. Murray
Matthew Thorpe
ArXiv (abs)PDFHTML

Papers citing "From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds"

8 / 8 papers shown
Higher-Order Regularization Learning on Hypergraphs
Higher-Order Regularization Learning on Hypergraphs
Adrien Weihs
Andrea Bertozzi
Matthew Thorpe
249
2
0
30 Oct 2025
Two-Sample Testing with a Graph-Based Total Variation Integral
  Probability Metric
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric
Alden Green
Sivaraman Balakrishnan
Robert Tibshirani
285
1
0
24 Sep 2024
On the existence of solutions to adversarial training in multiclass
  classification
On the existence of solutions to adversarial training in multiclass classificationEuropean journal of applied mathematics (EJAM), 2023
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
381
11
0
28 Apr 2023
Consistency of Fractional Graph-Laplacian Regularization in
  Semi-Supervised Learning with Finite Labels
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite LabelsSIAM Journal on Mathematical Analysis (SIAM J. Math. Anal.), 2023
Adrien Weihs
Matthew Thorpe
348
6
0
14 Mar 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine
  learning
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learningCalculus of Variations and Partial Differential Equations (CVPDE), 2022
Leon Bungert
Kerrek Stinson
358
16
0
28 Nov 2022
Rates of Convergence for Regression with the Graph Poly-Laplacian
Rates of Convergence for Regression with the Graph Poly-LaplacianSampling Theory, Signal Processing, and Data Analysis (TSPDA), 2022
Nicolas García Trillos
Ryan W. Murray
Matthew Thorpe
455
6
0
06 Sep 2022
Robust Certification for Laplace Learning on Geometric Graphs
Robust Certification for Laplace Learning on Geometric GraphsMathematical and Scientific Machine Learning (MSML), 2021
Matthew Thorpe
Bao Wang
OODAAML
252
1
0
22 Apr 2021
Adversarial Classification: Necessary conditions and geometric flows
Adversarial Classification: Necessary conditions and geometric flowsJournal of machine learning research (JMLR), 2020
Nicolas García Trillos
Ryan W. Murray
AAML
391
21
0
21 Nov 2020
1
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