papersSEP 11 04:00 UTC
Study Links Zero Pattern of Design Matrix to Multiple Descent in Over-parameterized Regression
A new arXiv paper examines multiple descent phenomena in over-parameterized linear regression, a setting where prior work typically assumed independent covariates and non-degenerate covariance matrices. The authors relax both assumptions, showing that the zero pattern of the design matrix governs this behavior. The result offers a more general theoretical account of how model complexity affects prediction error.