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researcher

Paz Fink Shustin

6 papers hereh-index 331 citations7 works total

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

author position
  • first author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • math.NA3
  • math.OC2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedPCENet: High Dimensional Surrogate Modeling for Learning Uncertainty

4 citations · 10 across the 6 of their papers we have counts for

collaborators
Showing 2021 · math.NAShow all

2 papers · 2 filters

math.NA2021

Semi-Infinite Linear Regression and Its Applications

Paz Fink Shustin, Haim Avron

Finite linear least squares is one of the core problems of numerical linear algebra, with countless applications across science and engineering. Consequently, there is a rich and o…

math.NA2021★ 3 cited

Gauss-Legendre Features for Gaussian Process Regression

Paz Fink Shustin, Haim Avron

Gaussian processes provide a powerful probabilistic kernel learning framework, which allows learning high quality nonparametric regression models via methods such as Gaussian proce…

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