Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
–Neural Information Processing Systems
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.
Neural Information Processing Systems
Jun-17-2026, 06:33:13 GMT
- Country:
- North America > United States (0.27)
- Genre:
- Research Report
- New Finding (1.00)
- Experimental Study (1.00)
- Research Report
- Technology:
- Information Technology
- Data Science (1.00)
- Artificial Intelligence > Machine Learning
- Statistical Learning (1.00)
- Neural Networks (1.00)
- Performance Analysis > Accuracy (0.34)
- Information Technology