Bregman divergences
August 29, 2023 — August 29, 2023
Bregman
functional analysis
optimization
statmech
In mathematics, specifically statistics and information geometry, a Bregman divergence or Bregman distance is a measure of difference between two points, defined in terms of a strictly convex function; they form an important class of divergences. When the points are interpreted as probability distributions – notably as either values of the parameter of a parametric model or as a data set of observed values – the resulting distance is a statistical distance. The most basic Bregman divergence is the squared Euclidean distance.
Useful in mirror descent.
- Meet the Bregman Divergences ← Inductio Ex Machina ← Mark Reid
- Bregman divergences, dual information geometry, and generalized convexity
- connection to score matching, contrastive divergence, mirror descent
1 References
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