Frank Nielsen maintains a comprehensive research hub on Bregman divergences for ML
FrnkNlsn · x · 2026-09-06
Frank Nielsen (Sony CSL) maintains a long-running resource page on statistical divergences central to ML/AI, updated through September 2023.
- Bregman divergences and generalizations: the core divergence family in ML, with collected papers.
- Jensen-Shannon divergence: multiple Entropy papers on symmetrization and generalizations (2010–2021).
- f-divergences: IEEE IT papers on f-divergences between Cauchy distributions and between hyperboloid/Poincaré distributions.
- α-divergences: generalizations via quasi-arithmetic and comparable weighted means, plus clustering applications.
- Also covers Fisher-Rao distance approximation, optimal transport, and information geometry.
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