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Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian
  Nonparametrics Perspective
v1v2v3 (latest)

Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective

Journal of machine learning research (JMLR), 2020
26 August 2020
D. Sanz-Alonso
Ruiyi Yang
    SSL
ArXiv (abs)PDFHTML

Papers citing "Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective"

7 / 7 papers shown
Nonparametric regression on random geometric graphs sampled from
  submanifolds
Nonparametric regression on random geometric graphs sampled from submanifolds
Paul Rosa
Judith Rousseau
343
3
0
31 May 2024
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble
  Kalman Filters
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman FiltersBernoulli (Bernoulli), 2023
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
337
8
0
25 Oct 2023
Posterior Contraction Rates for Matérn Gaussian Processes on
  Riemannian Manifolds
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian ManifoldsNeural Information Processing Systems (NeurIPS), 2023
Paul Rosa
Viacheslav Borovitskiy
Alexander Terenin
Judith Rousseau
424
14
0
19 Sep 2023
Optimization on Manifolds via Graph Gaussian Processes
Optimization on Manifolds via Graph Gaussian ProcessesSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Hwanwoo Kim
D. Sanz-Alonso
Ruiyi Yang
469
8
0
20 Oct 2022
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised
  Learning
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised LearningNotices of the American Mathematical Society (Notices of the AMS), 2022
Nicolas García Trillos
D. Sanz-Alonso
Ruiyi Yang
SSL
287
4
0
03 Jul 2022
Finite Element Representations of Gaussian Processes: Balancing
  Numerical and Statistical Accuracy
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy
D. Sanz-Alonso
Ruiyi Yang
267
15
0
06 Sep 2021
Graph-based Prior and Forward Models for Inverse Problems on Manifolds
  with Boundaries
Graph-based Prior and Forward Models for Inverse Problems on Manifolds with BoundariesInverse Problems (IP), 2021
J. Harlim
Shixiao W. Jiang
Hwanwoo Kim
D. Sanz-Alonso
290
10
0
12 Jun 2021
1
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