random feature model

Learning Expressive Random Feature Models via Parametrized Activations UAI 2026 Weak-to-Strong Generalization Even in Random Feature Networks, Provably ICML 2025 A Dynamical Model of Neural Scaling Laws ICML 2024 A Rainbow in Deep Network Black Boxes JMLR 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024 Multiple Descent in the Multiple Random Feature Model JMLR 2024 On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions ICML 2024 Bayes-optimal Learning of Deep Random Networks of Extensive-width ICML 2023 Deterministic equivalent and error universality of deep random features learning ICML 2023 Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023 Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023 Sampling weights of deep neural networks NeurIPS 2023 Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models ICML 2021 Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NeurIPS 2021 On the Inherent Regularization Effects of Noise Injection During Training ICML 2021 Implicit Regularization of Random Feature Models ICML 2020