A unified regularized MLE for generalized multi-response regression jointly exploits column homogeneity, low rank, and sparsity, with rates that improve as within-group column differences shrink.
Fast stagewise sparse factor regression
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Generalized Reduced-Rank Regression with Homogeneity Pursuit
A unified regularized MLE for generalized multi-response regression jointly exploits column homogeneity, low rank, and sparsity, with rates that improve as within-group column differences shrink.