A joint Kronecker-structured Inverse-Wishart variational approximation, optimized with an orthogonalized pullback metric, outperforms mean-field variational Bayes for Gaussian multiway covariances.
Separable covariance arrays via the Tucker product, with applications to mul- tivariate relational data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.CO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Geodesic Variational Bayes for Multiway Covariances
A joint Kronecker-structured Inverse-Wishart variational approximation, optimized with an orthogonalized pullback metric, outperforms mean-field variational Bayes for Gaussian multiway covariances.