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11/16/2021
Bayesian Optimization for Cascade-type Multi-stage Processes
Complex processes in science and engineering are often formulated as mul...
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02/08/2021
Active learning for distributionally robust level-set estimation
Many cases exist in which a black-box function f with high evaluation co...
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10/05/2020
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference
In the past few years, various approaches have been developed to explain...
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09/17/2020
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
We consider active learning (AL) in an uncertain environment in which tr...
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06/22/2020
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
In many product development problems, the performance of the product is ...
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10/26/2019
