Converting GMMs ↔ PEFs for fast KLD approximation
FrnkNlsn · x · 2026-08-24
Introduces two types of universal density approximators: Gaussian Mixtures Models (GMMs) and Exponential Families with polynomial sufficient statistics (PEFs).
The post links to methods for converting between GMMs and PEFs, enabling fast approximation of Kullback-Leibler divergences (KLDs) between GMMs. Authored by Frank Nielsen of Sony CSL, focusing on information geometry and ML.
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