Convex regularization for low rank tensor estimation

Series
Stochastics Seminar
Time
Thursday, October 8, 2015 - 3:05pm for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Ming Yuan – University of Wisconsin
Organizer
Vladimir Koltchinskii
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 introduce a general framework of convex regularization for low rank tensor estimation.