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Title: The Hanson–Wright inequality for random tensors
Abstract

We provide moment bounds for expressions of the type$$(X^{(1)} \otimes \cdots \otimes X^{(d)})^T A (X^{(1)} \otimes \cdots \otimes X^{(d)})$$(X(1)X(d))TA(X(1)X(d))where$$\otimes $$denotes the Kronecker product and$$X^{(1)}, \ldots , X^{(d)}$$X(1),,X(d)are random vectors with independent, mean 0, variance 1, subgaussian entries. The bounds are tight up to constants depending ondfor the case of Gaussian random vectors. Our proof also provides a decoupling inequality for expressions of this type. Using these bounds, we obtain new, improved concentration inequalities for expressions of the form$$\Vert B (X^{(1)} \otimes \cdots \otimes X^{(d)})\Vert _2$$B(X(1)X(d))2.

 
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NSF-PAR ID:
10370354
Author(s) / Creator(s):
; ;
Publisher / Repository:
Springer Science + Business Media
Date Published:
Journal Name:
Sampling Theory, Signal Processing, and Data Analysis
Volume:
20
Issue:
2
ISSN:
2730-5716
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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