Mutual information for low-rank even-order symmetric tensor estimation

DOI10.1093/imaiai/iaaa022zbMath1490.62034arXiv1904.04565OpenAlexW3088176352MaRDI QIDQ5033273

Jean Barbier, Clément Luneau, Nicolas Macris

Publication date: 22 February 2022

Published in: Information and Inference: A Journal of the IMA (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.04565

zbMATH Keywords

mutual informationtensor decompositionconcentrationadaptive interpolation methodreplica formula

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Information theory (general) (94A15) Statistical aspects of information-theoretic topics (62B10)

Related Items (6)

Sparse high-dimensional linear regression. Estimating squared error and a phase transition ⋮ Hamilton-Jacobi equations for inference of matrix tensor products ⋮ Mutual information for the sparse stochastic block model ⋮ Free energy of multi-layer generalized linear models ⋮ Statistical inference of finite-rank tensors ⋮ Hamilton-Jacobi equations for nonsymmetric matrix inference

This page was built for publication: Mutual information for low-rank even-order symmetric tensor estimation