Track: Full Paper (8 pages)
Keywords: magnitude, strict negative type, diversity, outliers
TL;DR: The paper details how to produce maximum-diversity subsets of, and outliers in, suitably nice finite metric spaces.
Abstract: We describe a unified and computationally tractable framework for finding outliers in, and maximum-diversity subsets of, finite metric spaces of strict negative type. Examples of such spaces include finite subsets of Euclidean space and finite subsets of a sphere without antipodal points. The latter accounts for state-of-the-art text embeddings, and we apply our framework in this context to sketch a hallucination mitigation strategy and separately to a class of path diversity optimization problems with a real-world example.
Supplementary Material: zip
Submission Number: 2
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