research
∙
06/01/2023
Sharded Bayesian Additive Regression Trees
In this paper we develop the randomized Sharded Bayesian Additive Regres...
share
research
∙
04/07/2023
Estimating Shapley effects for moderate-to-large input dimensions
Sobol' indices and Shapley effects are attractive methods of assessing h...
research
∙
01/05/2023
Model Mixing Using Bayesian Additive Regression Trees
In modern computer experiment applications, one often encounters the sit...
research
∙
03/26/2022
Influential Observations in Bayesian Regression Tree Models
BCART (Bayesian Classification and Regression Trees) and BART (Bayesian ...
research
∙
01/04/2021
Using BART for Multiobjective Optimization of Noisy Multiple Objectives
Techniques to reduce the energy burden of an Industry 4.0 ecosystem ofte...
research
∙
05/27/2020
Assessing variable activity for Bayesian regression trees
Bayesian Additive Regression Trees (BART) are non-parametric models that...
research
∙
08/23/2019
Sparse Additive Gaussian Process Regression
In this paper we introduce a novel model for Gaussian process (GP) regre...
research
∙
04/06/2018