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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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