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stat.ML2023
On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis
Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge +1
This work introduces an asymptotic study of Hotelling-type tensor deflation in the presence of noise, in the regime of large tensor dimensions. Specifically, we consider a low-rank…
stat.ML2023
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
Mohamed El Amine Seddik, Mohammed Mahfoud, Merouane Debbah
This paper tackles the problem of recovering a low-rank signal tensor with possibly correlated components from a random noisy tensor, or so-called spiked tensor model. When the und…