Interactive KL Divergence Visualisation [P]

Reddit r/MachineLearning / 5/9/2026

💬 OpinionIdeas & Deep AnalysisTools & Practical Usage

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Key Points

The article introduces an interactive tool to build intuition about KL（Kullback–Leibler）divergence using two skew-normal distributions.
Users can visualize both the KL integrand and the overall KL divergence metric while adjusting parameters.
The explorer lets users study how KL divergence changes with mean offset, skew, truncation, and discretization choices.
The author encourages feedback and notes that the tool runs entirely on the client side (locally in the browser).

I built a small interactive explorer for building intuition about KL divergence: https://robotchinwag.com/posts/kl-divergence-visualisation/

You control two skew-normal distributions and can see the KL integrand and the KL metric. It’s good for exploring how it changes with a mean offset, skew, truncation and discretisation.

It run entirely close side. Feedback is welcome.

submitted by /u/ancillia
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