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20162023
most citedComputing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD

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

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Showing 2021Show all

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cs.LG2021

Large-Scale Learning with Fourier Features and Tensor Decompositions

Frederiek Wesel, Kim Batselier

Random Fourier features provide a way to tackle large-scale machine learning problems with kernel methods. Their slow Monte Carlo convergence rate has motivated the research of det…