arXiv stat.ML
· Papers
Nonlinear multi-study sparse factor analysis
arXiv:2601.18128v2 Announce Type: replace Abstract: High-dimensional data often exhibit variation that can be captured by lower-dimensional factors. For high-dimensional data from multiple studies, one goal is to understand which underlying factors are common to all studies, and which factors are study-specific. As a p