scientific article; zbMATH DE number 7306882
From MaRDI portal
Publication:5148978
Bamdad Hosseini, Franca Hoffmann, Zhi Ren, Andrew M. Stuart
Publication date: 5 February 2021
Full work available at URL: https://arxiv.org/abs/1906.07658
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Related Items
Spectral analysis of weighted Laplacians arising in data clustering ⋮ Posterior consistency of semi-supervised regression on graphs
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Log-concavity and strong log-concavity: a review
- A variational approach to the consistency of spectral clustering
- Large data and zero noise limits of graph-based semi-supervised learning algorithms
- Spectral partitioning works: planar graphs and finite element meshes
- On a kernel-based method for pattern recognition, regression, approximation, and operator inversion
- The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression
- Consistency of spectral clustering in stochastic block models
- Consistency of spectral clustering
- Log-concave probability and its applications
- Diffusion maps
- 10.1162/153244302760185252
- Uncertainty Quantification in Graph-Based Classification of High Dimensional Data
- Consistency of Support Vector Machines and Other Regularized Kernel Classifiers
- Learning Theory
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Diffuse Interface Models on Graphs for Classification of High Dimensional Data
- A modern maximum-likelihood theory for high-dimensional logistic regression
- Analysis of $p$-Laplacian Regularization in Semisupervised Learning
