1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2024
Fixed-budget optimal designs for multi-fidelity computer experiments
Gecheng Chen, Rui Tuo
This work focuses on the design of experiments of multi-fidelity computer experiments. We consider the autoregressive Gaussian process model proposed by Kennedy and O'Hagan (2000)…
cs.LG2022
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction
Gecheng Chen, Yu Zhou, Xudong Zhang +1
The area of transfer learning comprises supervised machine learning methods that cope with the issue when the training and testing data have different input feature spaces or distr…
stat.ML2020★ 1 cited
Projection Pursuit Gaussian Process Regression
Gecheng Chen, Rui Tuo
A primary goal of computer experiments is to reconstruct the function given by the computer code via scattered evaluations. Traditional isotropic Gaussian process models suffer fro…