Haobo Zhang

According to our database, Haobo Zhang authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions.

Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

J. Mach. Learn. Res., 2025

2024

On the Optimality of Misspecified Spectral Algorithms.

Haobo Zhang, Yicheng Li, Qian Lin

J. Mach. Learn. Res., 2024

Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories.

Haobo Zhang, Jianfa Lai, Yicheng Li, Qian Lin, Jun S. Liu

CoRR, 2024

The phase diagram of kernel interpolation in large dimensions.

Haobo Zhang, Weihao Lu, Qian Lin

CoRR, 2024

On the Saturation Effects of Spectral Algorithms in Large Dimensions.

Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Optimal Rate of Kernel Regression in Large Dimensions.

Weihao Lu, Haobo Zhang, Yicheng Li, Manyun Xu, Qian Lin

CoRR, 2023

Kernel interpolation generalizes poorly.

Yicheng Li, Haobo Zhang, Qian Lin

CoRR, 2023

On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay.

Yicheng Li, Haobo Zhang, Qian Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Optimality of Misspecified Kernel Ridge Regression.

Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

Proceedings of the International Conference on Machine Learning, 2023

On the Saturation Effect of Kernel Ridge Regression.

Yicheng Li, Haobo Zhang, Qian Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023