Liza Rebrova, Princeton University, USA
Title: ``Modewise methods for tensor compression and recovery'' Abstract: Among the most widely used random matrix measurement models are (a) independent sub-gaussian models and (b) randomized Fourier-based models, allowing for the efficient computation of the measurements. My talk will be…