Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning

Kernel ridge regression (KRR) is a foundational tool in machine learning, with recent work emphasizing its connections to neural networks. However, existing theory primarily addresses the i.i.d.