Stochastic Gradients for Large-Scale Tensor Decomposition

Tamara G. Kolda, David Hong

Tensor decomposition is a well-known tool for multiway data analysis. This work proposes using stochastic gradients for efficient generalized canonical polyadic (GCP) tensor decomp…