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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