9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Scalable Bayesian Transformed Gaussian Processes
Xinran Zhu, Leo Huang, Cameron Ibrahim +2
The Bayesian transformed Gaussian process (BTG) model, proposed by Kedem and Oliviera, is a fully Bayesian counterpart to the warped Gaussian process (WGP) and marginalizes out a j…
cs.LG2021★ 9 cited
Scaling Gaussian Processes with Derivative Information Using Variational Inference
Misha Padidar, Xinran Zhu, Leo Huang +2
Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks…