High-Dimensional Slider-Based Preferential Bayesian Optimization With Mixed Local and Global Acquisition Strategies

Preferential Bayesian optimization (PBO) is a framework for human-in-the-loop optimization to maximize black-box human preference functions such as seeking perceptually good visual designs. It is advantageous when consistently providing a degree of preference is challenging, but selecting the best o...

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Principais autores:	Satoshi Koide, Ayano Okoso
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Blackbox function optimization Gaussian process high dimensional optimization machine learning preferential Bayesian optimization preference learning
גישה מקוונת:	https://ieeexplore.ieee.org/document/10577753/
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