2025
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
NeurIPS 2025poster
This work establishes that sparse Bayesian neural networks achieve optimal posterior contraction rates over anisotropic Besov spaces and their hierarchical compositions. These structures reflect the intrinsic dimensionality of the underlying function, thereby mitigating the curse of dimensionality.…