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RTSMS: Randomized Tucker with single-mode sketching

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Version 2 2025-07-30, 10:57
Version 1 2025-06-12, 15:04
journal contribution
posted on 2025-07-30, 10:57 authored by Behnam HashemiBehnam Hashemi, Yuji Nakatsukasa
<p dir="ltr">We propose RTSMS (Randomized Tucker with Single-Mode-Sketching), a randomized algorithm for approximately computing a low-rank Tucker decomposition of a given tensor. It uses sketching and the least-squares method to compute the Tucker decomposition in a sequentially truncated manner. RTSMS essentially only sketches one mode at a time, so the sketch matrices are significantly smaller than for alternative approaches. It uses a rank estimator to adaptively find an appropriate rank for the Tucker decomposition, without requiring it as input. RTSMS is demonstrated to be competitive with existing methods, sometimes outperforming them by a large margin.</p><p><br></p>

History

Related Materials

Author affiliation

College of Science & Engineering Comp' & Math' Sciences

Version

  • VoR (Version of Record)

Published in

Electronic Transactions on Numerical Analysis

Volume

63

Pagination

247–280

Publisher

Kent State University

issn

1068-9613

eissn

1097-4067

Copyright date

2025

Available date

2025-07-30

Language

en

Deposited by

Dr Behnam Hashemi

Deposit date

2025-06-10