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Posterior Consistency of Semi-Supervised Regression on Graphs
v1v2 (latest)

Posterior Consistency of Semi-Supervised Regression on Graphs

25 July 2020
Andrea L. Bertozzi
Bamdad Hosseini
Hao Li
Kevin Miller
Andrew M. Stuart
ArXiv (abs)PDFHTML

Papers citing "Posterior Consistency of Semi-Supervised Regression on Graphs"

7 / 7 papers shown
Title
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Orazio Pinti
Jeremy M. Budd
Franca Hoffmann
Assad A. Oberai
86
1
0
12 Sep 2024
A few-shot graph Laplacian-based approach for improving the accuracy of
  low-fidelity data
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data
Orazio Pinti
Assad A. Oberai
55
0
0
29 Mar 2023
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised
  Learning
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning
Nicolas García Trillos
D. Sanz-Alonso
Ruiyi Yang
SSL
66
3
0
03 Jul 2022
Graph-based Active Learning for Semi-supervised Classification of SAR
  Data
Graph-based Active Learning for Semi-supervised Classification of SAR Data
Kevin Miller
John Mauro
Jason Setiadi
Xoaquin Baca
Zhan Shi
Jeff Calder
Andrea L. Bertozzi
72
22
0
31 Mar 2022
Model-Change Active Learning in Graph-Based Semi-Supervised Learning
Model-Change Active Learning in Graph-Based Semi-Supervised Learning
Kevin Miller
Andrea L. Bertozzi
SSL
51
12
0
14 Oct 2021
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian
  Nonparametrics Perspective
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective
D. Sanz-Alonso
Ruiyi Yang
SSL
86
10
0
26 Aug 2020
Consistency of semi-supervised learning algorithms on graphs: Probit and
  one-hot methods
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods
Franca Hoffmann
Bamdad Hosseini
Zhi Ren
Andrew M. Stuart
44
23
0
18 Jun 2019
1