A variational approach to the consistency of spectral clustering

8 August 2015

Papers citing "A variational approach to the consistency of spectral clustering"

21 / 21 papers shown

Title
Graph Laplacian-based Bayesian Multi-fidelity Modeling Orazio Pinti Jeremy M. Budd Franca Hoffmann Assad A. Oberai 37 1 0 12 Sep 2024
Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser T. Chu Gary Miller N. Walkington 21 0 0 11 May 2023
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data Orazio Pinti Assad A. Oberai 23 0 0 29 Mar 2023
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels Adrien Weihs Matthew Thorpe 8 2 0 14 Mar 2023
Rates of Convergence for Regression with the Graph Poly-Laplacian Nicolas García Trillos Ryan W. Murray Matthew Thorpe 32 4 0 06 Sep 2022
Understanding the Generalization Performance of Spectral Clustering Algorithms Shaojie Li Shengqi Ouyang Yong Liu 28 2 0 30 Apr 2022
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 52 440 0 19 Aug 2021
Manifold learning with arbitrary norms Joe Kileel Amit Moscovich Nathan Zelesko A. Singer 44 25 0 28 Dec 2020
Product Manifold Learning Sharon Zhang Amit Moscovich A. Singer 39 14 0 19 Oct 2020
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 25 30 0 13 Jul 2020
A metric on directed graphs and Markov chains based on hitting probabilities Z. Boyd Nicolas Fraiman J. Marzuola P. Mucha Braxton Osting Jonathan Weare 21 9 0 25 Jun 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
Mumford-Shah functionals on graphs and their asymptotics M. Caroccia A. Chambolle D. Slepčev 22 21 0 22 Jun 2019
Geometric structure of graph Laplacian embeddings Nicolas García Trillos Franca Hoffmann Bamdad Hosseini 33 23 0 30 Jan 2019
Learning by Unsupervised Nonlinear Diffusion Mauro Maggioni James M. Murphy DiffM 30 40 0 15 Oct 2018
Properly-weighted graph Laplacian for semi-supervised learning Jeff Calder D. Slepčev SSL 22 57 0 10 Oct 2018
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 47 172 0 30 Jan 2018
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms Nicolas García Trillos Zachary T. Kaplan Thabo Samakhoana D. Sanz-Alonso 25 19 0 20 Oct 2017
Consistency of Dirichlet Partitions Braxton Osting Todd Harry Reeb 15 20 0 18 Aug 2017
Gromov-Hausdorff limit of Wasserstein spaces on point clouds Nicolás García Trillos 24 19 0 11 Feb 2017