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cs.LG2026
The power of small initialization in noisy low-tubal-rank tensor recovery
ZHiyu Liu, Haobo Geng, Xudong Wang +3
We study the problem of recovering a low-tubal-rank tensor from noisy linear measurements under the t-product framework. A…
cs.LG2025
Efficient Low-Tubal-Rank Tensor Estimation via Alternating Preconditioned Gradient Descent
Zhiyu Liu, Zhi Han, Yandong Tang +2
The problem of low-tubal-rank tensor estimation is a fundamental task with wide applications across high-dimensional signal processing, machine learning, and image science. Traditi…