12 citations · 15 across the 2 of their papers we have counts for
2 papers
stat.ME2020★ 3 cited
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Jialei Chen, Zhehui Chen, Chuck Zhang +1
Kriging (or Gaussian process regression) is a popular machine learning method for its flexibility and closed-form prediction expressions. However, one of the key challenges in appl…
stat.ME2019★ 12 cited
A hierarchical expected improvement method for Bayesian optimization
Zhehui Chen, Simon Mak, C. F. Jeff Wu
The Expected Improvement (EI) method, proposed by Jones et al. (1998), is a widely-used Bayesian optimization method, which makes use of a fitted Gaussian process model for efficie…