A random sampling algorithm for fully-connected tensor network decomposition with applications

Author:

Wang Mengyu,Cui Honghua,Li HanyuORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission

Publisher

Springer Science and Business Media LLC

Reference37 articles.

1. Bader BW, Kolda TG et al (2021) Tensor toolbox for MATLAB. Version 3.2.1. https://www.tensortoolbox.org Accessed 05 Apr 2021

2. Bahadori MT, Yu QR, Liu Y (2014) Fast multivariate spatio-temporal analysis via low rank tensor learning. Adv Neural Inf Process Syst 27

3. Battaglino C, Ballard G, Kolda TG (2018) A practical randomized CP tensor decomposition. SIAM J Matrix Anal Appl 39(2):876–901

4. Drineas P, Mahoney MW, Muthukrishnan S (2011) Faster least squares approximation. Numer Math 117(2):219–249

5. Fahrbach M, Fu G, Ghadiri M (2022) Subquadratic Kronecker regression with applications to tensor decomposition. Adv Neural Inf Process Syst 35:28776–28789

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