18 citations · 23 across the 6 of their papers we have counts for
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stat.ME2026
Heteroskedastic Canonical Polyadic Tensor Decomposition
Kyle Ritscher, Carlos Llosa-Vite
When minimizing the squared-error loss, the popular CP decomposition can be interpreted as parameter inference in a Gaussian model with a low-rank mean tensor and constant variance…
stat.ME2022
Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning
Carlos Llosa-Vite, Ranjan Maitra
Statistical analysis of tensor-valued data has largely used the tensor-variate normal (TVN) distribution that may be inadequate when data comes from distributions with heavier or l…
stat.ME2020★ 18 cited
Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance
Carlos Llosa-Vite, Ranjan Maitra
Fitting regression models with many multivariate responses and covariates can be challenging, but such responses and covariates sometimes have tensor-variate structure. We extend t…