39 citations · 71 across the 9 of their papers we have counts for
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cs.MS2018
Software for Sparse Tensor Decomposition on Emerging Computing Architectures
Eric Phipps, Tamara G. Kolda
In this paper, we develop software for decomposing sparse tensors that is portable to and performant on a variety of multicore, manycore, and GPU computing architectures. The resul…
stat.ML2018
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables
Clifford Anderson-Bergman, Tamara G. Kolda, Kina Kincher-Winoto
Principal component analysis (PCA) is arguably the most popular tool in multivariate exploratory data analysis. In this paper, we consider the question of how to handle heterogeneo…