Are Humans Bayesian in the Optimization of Black-Box Functions?

DOI10.1007/978-3-030-40616-5_3OpenAlexW3006592782MaRDI QIDQ5122270

I. Giordani, A. Candelieri, Francesco Archetti, R. Perego

Publication date: 22 September 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-40616-5_3

zbMATH Keywords

cognitive modelssearch strategyBayesian optimization

Mathematics Subject Classification ID

Numerical analysis (65-XX)

Related Items (1)

Modelling human active search in optimizing black-box functions

Uses Software

• EGO
• GenericWrapper4AC

Cites Work

• Unnamed Item
• Efficient global optimization of expensive black-box functions
• A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions
• Bayesian optimization of pump operations in water distribution systems
• No free lunch theorem: a review
• Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study
• Pitfalls and Best Practices in Algorithm Configuration
• Finite-time analysis of the multiarmed bandit problem

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