Saturday, 8 August 2026

Statistical Similarity

KL divergence is a way to measure "closeness" of two probability distributions. It is used in the literature on model cloning/model distillation.

Another name for it is "relative entropy".

Its full form is Kullback-Leibler divergence. 
It is denoted D[KL]( P || Q ). P is the true probability distribution and Q is the approximating probability distribution.

Mathematically:

D[

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