Convex regularization for low rank tensor estimation
- Series
- Stochastics Seminar
- Time
- Thursday, October 8, 2015 - 15:05 for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Ming Yuan – University of Wisconsin
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.