A New Convex Relaxation for Tensor Completion

NeurIPS 2013 Bernardino Romera-ParedesMassimiliano Pontil

We study the problem of learning a tensor from a set of linear measurements. A prominent methodology for this problem is based on a generalization of trace norm regularization, which has been used extensively for learning low rank matrices, to the tensor setting... (read more)

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