2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models
AISTATS 2024poster
Despite numerous years of research into the merits and trade-offs of various model selection criteria, obtaining robust results that elucidate the behavior of cross-validation remains a challenging endeavor. In this paper, we highlight the inherent limitations of cross-validation when employed to di…