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11/17/2022
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
Bayesian optimization (BO) algorithms form a class of surrogate-based he...
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11/02/2022
PI is back! Switching Acquisition Functions in Bayesian Optimization
Bayesian Optimization (BO) is a powerful, sample-efficient technique to ...
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03/01/2021
Practices for Engineering Trustworthy Machine Learning Applications
Following the recent surge in adoption of machine learning (ML), the neg...
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11/11/2020
Identifying Properties of Real-World Optimisation Problems through a Questionnaire
Optimisation algorithms are commonly compared on benchmarks to get insig...
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07/28/2020
Adoption and Effects of Software Engineering Best Practices in Machine Learning
The increasing reliance on applications with machine learning (ML) compo...
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04/14/2020