Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression

ArXi:2505.11143v2 Announce Type: replace-cross Sparse linear regression is a fundamental tool in data analysis. However, traditional approaches often fall short when covariates exhibit structure or arise from heterogeneous sources. In biomedical applications, covariates may stem from distinct modalities or be structured according to an underlying graph. We