1 citations · 1 across the 4 of their papers we have counts for
4 papers
Posterior Contraction of Lévy Adaptive B-spline Regression in Besov Spaces
Jeunghun Oh, Sewon Park, Jaeyong Lee
We investigate the asymptotic properties of the Lévy Adaptive B-spline (LABS) regression model, a Bayesian nonparametric method that incorporates B-spline kernels into the Lévy Ada…
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
Jeunghun Oh, Kyeongwon Lee, Jaeyong Lee +1
We study posterior contraction rates for sparse Bayesian Kolmogorov-Arnold networks (KANs) over anisotropic Besov spaces, providing a statistical foundation of KANs from a Bayesian…
Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee, Jaeyong Lee
Neural networks have shown great predictive power when dealing with various unstructured data such as images and natural languages. The Bayesian neural network captures the uncerta…
Covariance Structure Estimation with Laplace Approximation
Bongjung Sung, Jaeyong Lee
Gaussian covariance graph model is a popular model in revealing underlying dependency structures among random variables. A Bayesian approach to the estimation of covariance structu…