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Abstract: In this work, we propose a framework for adapting the controller's parameters based on learning optimal solutions from contextual black-box optimization problems. We consider a class of ...

Abstract: In this study, we present an initial experimental design for Bayesian optimization (BO) applied to the semiconductor process development. For efficient BO, it can be effective to draw ...

THE American Thoracic Society (ATS) International Conference 2026, held in Orlando, Florida, USA, May 15–20, united the pulmonary medicine community for a week of discussion on the latest data, ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

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Reference: Garrido Torres, Jose A.; Lau, Sii Hong; Anchuri, Pranay; Stevens, Jason M.; Tabora, Jose E.; Li, Jun; Borovika, Alina; Adams, Ryan P.; Doyle, Abigail G. "A ...

In the shown examples from the field of shape optimization and parameter reconstruction, Bayesian optimization, mainly known from machine learning applications, obtains significantly better results in ...

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