640 citations · 3.8k across the 44 of their papers we have counts for
4 papers · 1 filter
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…
Faster Johnson-Lindenstrauss Transforms via Kronecker Products
Ruhui Jin, Tamara G. Kolda, Rachel Ward
The Kronecker product is an important matrix operation with a wide range of applications in supporting fast linear transforms, including signal processing, graph theory, quantum co…
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…
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition
Grey Ballard, Alicia Klinvex, Tamara G. Kolda
Our goal is compression of massive-scale grid-structured data, such as the multi-terabyte output of a high-fidelity computational simulation. For such data sets, we have developed…