39 citations · 70 across the 5 of their papers we have counts for
4 papers · 1 filter
Streaming Generalized Canonical Polyadic Tensor Decompositions
Eric Phipps, Nick Johnson, Tamara G. Kolda
In this paper, we develop a method which we call OnlineGCP for computing the Generalized Canonical Polyadic (GCP) tensor decomposition of streaming data. GCP differs from tradition…
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition
Samantha Sherman, Tamara G. Kolda
We consider the problem of decomposing higher-order moment tensors, i.e., the sum of symmetric outer products of data vectors. Such a decomposition can be used to estimate the mean…
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…
Symmetric Orthogonal Tensor Decomposition is Trivial
Tamara G. Kolda
We consider the problem of decomposing a real-valued symmetric tensor as the sum of outer products of real-valued, pairwise orthogonal vectors. Such decompositions do not generally…