most citedLow-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

9 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent

Zhiyu Liu, Zhi Han, Yandong Tang +2

We consider the noisy matrix sensing problem in the over-parameterization setting, where the estimated rank is larger than the true rank of the target matrix $X_\star…

cs.LG2024★ 9 cited

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

Zhiyu Liu, Zhi Han, Yandong Tang +2

This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tac…