In this paper, we provide a theoretical justification to this for the matrix sensing problem, which aims to recover a low-rank matrix from a small number of ...

Compared to the Procrustes Flow (PF) algorithm in [8], which minimizes the regularized loss function in (5), the new algorithm does not include the balancing ...

Recently, nonconvex formulations based on matrix factorization are provably solved by simple gradient descent algorithms with strong computational and ...

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Beyond Procrustes: Balancing-free gradient descent for asymmetric low-rank matrix sensing. Ma, C., Li, Y., & Chi, Y. IEEE Transactions on Signal Processing ...

Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing C. Ma, Y. Li, Y. Chi IEEE Transactions on Signal Processing, 2021 ...

Beyond procrustes: Balancing-free gradient descent for asymmetric low-rank matrix sensing. IEEE Transactions on Signal Processing, 69:867–877,. 2021. [24] ...

Beyond Procrustes: Balancing-free gradient descent for asymmetric low-rank matrix sensing. C Ma, Y Li, Y Chi. IEEE Transactions on Signal Processing 69, 867-877 ...

Nov 24, 2023 · Beyond procrustes: Balancing-free gradient descent for asymmetric low-rank matrix sensing. IEEE Transactions on Signal Processing, 69:867 ...

Beyond Procrustes: Balancing- free gradient descent for asymmetric low-rank matrix sensing. IEEE Transactions on Signal Processing, 69: 867–877, 2021. Ma, J ...