8 citations · 22 across the 12 of their papers we have counts for
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math.ST2020★ 5 cited
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective
Daniel Sanz-Alonso, Ruiyi Yang
In this paper we analyze the graph-based approach to semi-supervised learning under a manifold assumption. We adopt a Bayesian perspective and demonstrate that, for a suitable choi…
stat.ME2020★ 1 cited
The SPDE Approach to Matérn Fields: Graph Representations
Daniel Sanz-Alonso, Ruiyi Yang
This paper investigates Gaussian Markov random field approximations to nonstationary Gaussian fields using graph representations of stochastic partial differential equations. We es…