arXiv stat.ML
· Papers
GEMSS: A Variational Method for Discovering Multiple Sparse Solutions in Classification and Regression Problems
arXiv:2602.08913v3 Announce Type: replace-cross Abstract: In underdetermined regression and classification problems, multiple feature subsets often yield equivalent predictive performance. In applied settings, especially with $n ll p$, high dimension or collinearities, it is valuable to provide a domain expert with a