Statistical inference of finite-rank tensors
[Inférence statistique de tenseurs de rang fini]
Annales Henri Lebesgue, Tome 5 (2022), pp. 1161-1189.

Nous considérons un modèle d’inférence statistique général de produits tensoriels de rang fini. Pour toute structure d’interaction et tout ordre de produits tensoriels, nous identifions l’énergie libre limite du modèle en termes d’une formule variationnelle. Notre approche consiste à montrer d’abord que l’énergie libre limite doit être la solution de viscosité d’une certaine équation de Hamilton–Jacobi.

We consider a general statistical inference model of finite-rank tensor products. For any interaction structure and any order of tensor products, we identify the limit free energy of the model in terms of a variational formula. Our approach consists of showing first that the limit free energy must be the viscosity solution to a certain Hamilton–Jacobi equation.

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Révisé le :
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DOI : 10.5802/ahl.146
Classification : 82B44, 82D30
Mots clés : inference problem, Hamilton–Jacobi equation, tensor
Chen, Hongbin 1 ; Mourrat, Jean-Christophe 2 ; Xia, Jiaming 3

1 Courant Institute of Mathematical Sciences, New York University, New York (USA)
2 Courant Institute of Mathematical Sciences, New York University, New York (USA); ENS Lyon and CNRS, Lyon (France)
3 Department of Mathematics, University of Pennsylvania, Philadelphia, Pennsylvania (USA)
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Chen, Hongbin; Mourrat, Jean-Christophe; Xia, Jiaming. Statistical inference of finite-rank tensors. Annales Henri Lebesgue, Tome 5 (2022), pp. 1161-1189. doi : 10.5802/ahl.146. http://archive.numdam.org/articles/10.5802/ahl.146/

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