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Efficient quadratic entropy with distance sketches

We detail scalable methods for approximating the quadratic entropy $p^T d p$ for arbitrary distributions $p$ and common distances $d$ of negative type. We focus on the Euclidean and spherical geodesic cases, which both use random feature embeddings and projections to dramatically improve…

By Steve HuntsmanarXiv - stat.ML

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Originally published by arXiv - stat.ML on Oct 9, 2026.

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