1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Using BART to Perform Pareto Optimization and Quantify its Uncertainties
Akira Horiguchi, Thomas J. Santner, Ying Sun +1
Techniques to reduce the energy burden of an industrial ecosystem often require solving a multiobjective optimization problem. However, collecting experimental data can often be ei…
stat.ME2020★ 1 cited
Assessing variable activity for Bayesian regression trees
Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner
Bayesian Additive Regression Trees (BART) are non-parametric models that can capture complex exogenous variable effects. In any regression problem, it is often of interest to learn…