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Nicholas Sterge

3 papers hereh-index 6103 citations8 works total

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

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ML3

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedApproximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off

14 citations · 17 across the 3 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

stat.ML2019★ 2 cited

Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling

Nicholas Sterge, Bharath Sriperumbudur, Lorenzo Rosasco +1

In this paper, we propose and study a Nyström based approach to efficient large scale kernel principal component analysis (PCA). The latter is a natural nonlinear extension of clas…

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