3 citations · 5 across the 3 of their papers we have counts for
3 papers
math.ST2024
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
Hengrui Luo, Meng Li
Tree-based methods are powerful nonparametric techniques in statistics and machine learning. However, their effectiveness, particularly in finite-sample settings, is not fully unde…
stat.AP2021★ 2 cited
Computing with R-INLA: Accuracy and reproducibility with implications for the analysis of COVID-19 data
Kori Khan, Hengrui Luo, Wenna Xi
The statistical methods used to analyze medical data are becoming increasingly complex. Novel statistical methods increasingly rely on simulation studies to assess their validity.…
cs.LG2021★ 3 cited
Non-smooth Bayesian Optimization in Tuning Problems
Hengrui Luo, James W. Demmel, Younghyun Cho +2
Building surrogate models is one common approach when we attempt to learn unknown black-box functions. Bayesian optimization provides a framework which allows us to build surrogate…