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researcher

J. Calder

15 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author4
  • last author2

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • math.AP4
  • math.NA2
  • cs.CV1
  • math.OC1
  • math.PR1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedPoisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

29 citations · 44 across the 9 of their papers we have counts for

collaborators
Showing math.STShow all

1 paper · 1 filter

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.