2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
A Perturbation-Based Kernel Approximation Framework
Roy Mitz, Yoel Shkolnisky
Kernel methods are powerful tools in various data analysis tasks. Yet, in many cases, their time and space complexity render them impractical for large datasets. Various kernel app…
cs.LG2019
ROIPCA: An online memory-restricted PCA algorithm based on rank-one updates
Roy Mitz, Yoel Shkolnisky
Principal components analysis (PCA) is a fundamental algorithm in data analysis. Its memory-restricted online versions are useful in many modern applications, where the data are to…
math.NA2017
Symmetric rank-one updates from partial spectrum with an application to out-of-sample extension
Roy Mitz, Nir Sharon, Yoel Shkolnisky
Rank-one update of the spectrum of a matrix is a fundamental problem in classical perturbation theory. In this paper, we consider its variant where only part of the spectrum is kno…