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Study argues support vector machines directly minimise KL divergence

This story is from 2026-11-06. It is preserved in the archive; the latest stories are on the live feed.

A new arXiv paper proposes a probabilistic interpretation of SVMs, arguing they can be viewed as directly minimising KL divergence rather than relying solely on geometric margin maximisation.

Read the full story at arXiv stat.ML ↗

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  1. 2026-11-06 05:00 · arXiv stat.ML
    Support Vector Machines Directly Minimise KL Divergence

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