Fine-tuning Factor Augmented Neural Lasso for Heterogeneous Environments

ArXi:2604.12288v1 Announce Type: cross Fine-tuning is a widely used strategy for adapting pre-trained models to new tasks, yet its methodology and theoretical properties in high-dimensional nonparametric settings with variable selection have not yet been developed. This paper