Bayesian Optimal Active Search and Surveying

Understand

We consider two active binary-classification problems with atypical objectives.

• In the first, active search, our goal is to actively uncover as many members of a given class as possible.
• In the second, active surveying, our goal is to actively query points to ultimately predict the proportion of a given class.
• Numerous real-world problems can be framed in these terms, and in either case typical model-based concerns such as generalization error are only of secondary importance.