15 citations · 26 across the 4 of their papers we have counts for
3 papers · 1 filter
A Scalable Gaussian Process for Large-Scale Periodic Data
Yongxiang Li, Yuting Pu, Changming Cheng +1
The periodic Gaussian process (PGP) has been increasingly used to model periodic data due to its high accuracy. Yet, computing the likelihood of PGP has a high computational comple…
Modeling and Active Learning for Experiments with Quantitative-Sequence Factors
Qian Xiao, Yaping Wang, Abhyuday Mandal +1
A new type of experiment that aims to determine the optimal quantities of a sequence of factors is eliciting considerable attention in medical science, bioengineering, and many oth…
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors
Qian Xiao, Abhyuday Mandal, C. Devon Lin +1
Computer experiments with both quantitative and qualitative (QQ) inputs are commonly used in science and engineering applications. Constructing desirable emulators for such compute…