2024
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
ICML 2024spotlight
Random feature (RF) mapping is an attractive and powerful technique for solving large-scale nonparametric regression. Yet, the existing theoretical analysis crucially relies on the i.i.d. assumption that individuals in the data are independent and identically distributed. It is still unclear whether…