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  4. Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization
 
conference paper

Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization

Barbier, Jean  
•
Luneau, Clement  
•
Macris, Nicolas  
January 1, 2019
2019 Ieee Information Theory Workshop (Itw)
IEEE Information Theory Workshop (ITW)

We consider a statistical model for finite-rank symmetric tensor factorization and prove a single-letter variational expression for its mutual information when the tensor is of even order. The proof uses the adaptive interpolation method, for which rank-one matrix factorization is one of the first problems to which it was successfully applied. We show how to extend the adaptive interpolation to finite-rank symmetric tensors of even order, which requires new ideas with respect to the proof for the rank-one case. We also underline where the proof falls short when dealing with odd-order tensors.

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Type
conference paper
DOI
10.1109/ITW44776.2019.8989408
Web of Science ID

WOS:000540384500016

Author(s)
Barbier, Jean  
Luneau, Clement  
Macris, Nicolas  
Date Issued

2019-01-01

Publisher

IEEE

Publisher place

New York

Published in
2019 Ieee Information Theory Workshop (Itw)
ISBN of the book

978-1-5386-6900-6

Series title/Series vol.

Information Theory Workshop

Start page

75

End page

79

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTHC  
Event nameEvent placeEvent date
IEEE Information Theory Workshop (ITW)

Visby, SWEDEN

Aug 25-28, 2019

Available on Infoscience
July 4, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/169803
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