Low Rank Tensor Completion

Wednesday, September 14, 2016 - 2:00pm - 2:50pm
Keller 3-180
Ming Yuan (University of Wisconsin, Madison)
Many problems can be formulated as recovering a low-rank tensor. Although an increasingly common task, tensor recovery remains a challenging problem because of the delicacy associated with the decomposition of higher order tensors. We investigate several convex optimization approaches to low rank tensor completion.