A Multilevel Monte Carlo Estimator for Matrix Multiplication

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Inspired by recent developments in multilevel Monte Carlo (MLMC) methods and randomised sketching for linear algebra problems we propose a MLMC estimator for real-time processing of matrix structured random data. Our algorithm is particularly effective in handling high-dimensional inner products and matrix multiplication, and finds applications in computer vision and large-scale supervised learning.
Original languageEnglish
Pages (from-to)A2731-A2749
Number of pages19
JournalSIAM Journal on Scientific Computing
Volume42
Issue number5
DOIs
Publication statusPublished - 15 Sept 2020

Keywords / Materials (for Non-textual outputs)

  • randomised sampling
  • sketching
  • Machine Learning

Fingerprint

Dive into the research topics of 'A Multilevel Monte Carlo Estimator for Matrix Multiplication'. Together they form a unique fingerprint.

Cite this