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cs.LG2025
On the Generalization Properties of Learning the Random Feature Models with Learnable Activation Functions
Zailin Ma, Jiansheng Yang, Yaodong Yang
This paper studies the generalization properties of a recently proposed kernel method, the Random Feature models with Learnable Activation Functions (RFLAF). By applying a data-dep…
cs.LG2024
Learning Expressive Random Feature Models via Parametrized Activations
Zailin Ma, Jiansheng Yang, Yaodong Yang
The random feature (RF) method is a powerful kernel approximation technique, but it typically uses fixed activation functions, limiting its adaptability across diverse tasks. To ov…