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Found 6 papers, 1 papers with code
Sampling Humans for Optimizing Preferences in Coloring Artwork
Many circumstances of practical importance have performance or success metrics which exist implicitly---in the eye of the beholder, so to speak.
Sequential Preference-Based Optimization
Many real-world engineering problems rely on human preferences to guide their design and optimization.
Bayesian Optimization for Machine Learning : A Practical Guidebook
The engineering of machine learning systems is still a nascent field; relying on a seemingly daunting collection of quickly evolving tools and best practices.
Interactive Preference Learning of Utility Functions for Multi-Objective Optimization
Real-world engineering systems are typically compared and contrasted using multiple metrics.
Optimization and Control 90C29, 90B50
Evaluation System for a Bayesian Optimization Service
Bayesian optimization is an elegant solution to the hyperparameter optimization problem in machine learning.
A Stratified Analysis of Bayesian Optimization Methods
Empirical analysis serves as an important complement to theoretical analysis for studying practical Bayesian optimization.
