2 papers
stat.ML2026
A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1
Gaussian process (GP) modeling is widely used in computational science and engineering. However, fitting a GP to high-dimensional inputs remains challenging due to the curse of dim…
stat.ML2025
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
Stamatina Lamprinakou, Huiyan Sang, Bledar A. Konomi +1
Bayesian Additive Regression Trees [BART, Chipman et al., 2010] have gained significant popularity due to their remarkable predictive performance and ability to quantify uncertaint…