640 citations · 3.8k across the 44 of their papers we have counts for
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stat.ML2022★ 4 cited
Tensor Moments of Gaussian Mixture Models: Theory and Applications
João M. Pereira, Joe Kileel, Tamara G. Kolda
Gaussian mixture models (GMMs) are fundamental tools in statistical and data sciences. We study the moments of multivariate Gaussians and GMMs. The -th moment of an -dimensio…
stat.ML2018★ 8 cited
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…