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math.NA2019★ 20 cited
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…
math.NA2019★ 49 cited
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…