Web: http://arxiv.org/abs/2010.02469

Jan. 28, 2022, 2:11 a.m. | Łukasz Kidziński, Francis K.C. Hui, David I. Warton, Trevor Hastie

cs.LG updates on arXiv.org arxiv.org

Unmeasured or latent variables are often the cause of correlations between
multivariate measurements, which are studied in a variety of fields such as
psychology, ecology, and medicine. For Gaussian measurements, there are
classical tools such as factor analysis or principal component analysis with a
well-established theory and fast algorithms. Generalized Linear Latent Variable
models (GLLVMs) generalize such factor models to non-Gaussian responses.
However, current algorithms for estimating model parameters in GLLVMs require
intensive computation and do not scale to large …

algorithms arxiv data factorization models

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