1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2025
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park +1
This work establishes that sparse Bayesian neural networks achieve optimal posterior contraction rates over anisotropic Besov spaces and their hierarchical compositions. These stru…
cs.LG2025
Schreier-Coset Graph Propagation
Aryan Mishra, Lizhen Lin
Graph Neural Networks (GNNs) offer a principled framework for learning over graph-structured data, yet their expressive capacity is often hindered by over-squashing, wherein inform…
stat.ME2018★ 1 cited
Bounded Regression with Gaussian Process Projection
Jize Zhang, Lizhen Lin
Examples with bound information on the regression function and density abound in many real applications. We propose a novel approach for estimating such functions by incorporating…