Michael Jacob Feldman

Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms

Many applications seek to recover low-rank approximations of noisy tensor data. We consider several practical and effective matricization strategies which construct specific matrices from such tensors and then apply spectral methods; the strategies include tensor unfolding, partial tracing, power it…