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08/14/2020
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems
Industrial dynamical systems often exhibit multi-scale response due to m...
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08/08/2020
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes
Modern day engineering problems are ubiquitously characterized by sophis...
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08/05/2020
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes
We present a Bayesian approach to identify optimal transformations that ...
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03/26/2020
Advances in Bayesian Probabilistic Modeling for Industrial Applications
Industrial applications frequently pose a notorious challenge for state-...
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01/02/2020
Bayesian task embedding for few-shot Bayesian optimization
We describe a method for Bayesian optimization by which one may incorpor...
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07/26/2019
