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20172022
most citedPoisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

29 citations · 34 across the 6 of their papers we have counts for

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math.ST2020★ 4 cited

Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates

Jeff Calder, Dejan Slepčev, Matthew Thorpe

We study graph-based Laplacian semi-supervised learning at low labeling rates. Laplacian learning uses harmonic extension on a graph to propagate labels. At very low label rates, L…

math.ST2017

Analysis of -Laplacian Regularization in Semi-Supervised Learning

Dejan Slepčev, Matthew Thorpe

We investigate a family of regression problems in a semi-supervised setting. The task is to assign real-valued labels to a set of sample points, provided a small training subse…