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

29 January 2019

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

8 / 8 papers shown

Title
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty Shiyuan He Hanxuan Ye Kejun He 21 0 0 09 Nov 2022
Rates of Convergence for Regression with the Graph Poly-Laplacian Nicolas García Trillos Ryan W. Murray Matthew Thorpe 32 4 0 06 Sep 2022
Eikonal depth: an optimal control approach to statistical depths M. Molina-Fructuoso Ryan W. Murray MDE 26 4 0 14 Jan 2022
Adversarial Classification: Necessary conditions and geometric flows Nicolas García Trillos Ryan W. Murray AAML 37 19 0 21 Nov 2020
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 25 30 0 13 Jul 2020
A continuum limit for the PageRank algorithm Amber Yuan Jeff Calder Braxton Osting 34 18 0 24 Jan 2020
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
Nonparametric sparsity and regularization Lorenzo Rosasco S. Villa S. Mosci M. Santoro A. Verri 93 102 0 13 Aug 2012