Diameter-based Interactive Structure Discovery

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Christopher Tosh, Daniel Hsu ;
Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:580-590, 2020.

Abstract

We introduce interactive structure discovery, a generic framework that encompasses many interactive learning settings, including active learning, top-k item identification, interactive drug discovery, and others. We adapt a recently developed active learning algorithm of Tosh and Dasgupta for interactive structure discovery, and show that the new algorithm can be made noise-tolerant and enjoys favorable query complexity bounds.

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