Search Results for author: Daniel Apley

Found 3 papers, 0 papers with code

Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors

no code implementations26 Jun 2021 LiWei Wang, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, Wei Chen

In addition, an interpretable latent space is obtained to draw insights into the effect of categorical factors, such as those associated with building blocks of architectures and element choices in metamaterial and materials design.

Gaussian Processes Variational Inference

Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

no code implementations3 Oct 2019 Yichi Zhang, Daniel Apley, Wei Chen

We present in this paper the integration of a novel latent-variable (LV) approach for mixed-variable GP modeling with the BO framework for materials design.

Bayesian Optimization

Patchwork Kriging for Large-scale Gaussian Process Regression

no code implementations23 Jan 2017 Chiwoo Park, Daniel Apley

Unlike existing local partitioned GP approaches, we introduce a technique for patching together the local GP models nearly seamlessly to ensure that the local GP models for two neighboring regions produce nearly the same response prediction and prediction error variance on the boundary between the two regions.

regression Uncertainty Quantification

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