The Average Spectrum Norm and Near-Optimal Tensor Completion
The Average Spectrum Norm and Near-Optimal Tensor Completion
We introduce a new tensor norm, the average spectrum norm, to study sample complexity of tensor completion problems based on the canonical polyadic decomposition (CPD). Properties of the average spectrum norm and its dual norm are investigated, demonstrating their utility for low-rank tensor recovery analysis. Our novel approach significantly reduces …