45 citations · 184 across the 21 of their papers we have counts for
3 papers · 1 filter
Fully Bayesian inference for latent variable Gaussian process models
Suraj Yerramilli, Akshay Iyer, Wei Chen +1
Real engineering and scientific applications often involve one or more qualitative inputs. Standard Gaussian processes (GPs), however, cannot directly accommodate qualitative input…
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang, Wei Wayne Chen, Akshay Iyer +2
Data-driven design shows the promise of accelerating materials discovery but is challenging due to the prohibitive cost of searching the vast design space of chemistry, structure,…
Diversity Subsampling: Custom Subsamples from Large Data Sets
Boyang Shang, Daniel W. Apley, Sanjay Mehrotra
Subsampling from a large data set is useful in many supervised learning contexts to provide a global view of the data based on only a fraction of the observations. Diverse (or spac…