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New paper argues SVMs directly minimise KL divergence, offering probabilistic interpretation

This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.

An arXiv paper (2611.05557) claims support vector machines, traditionally grounded in geometric margin maximisation, directly minimise KL divergence, providing a probabilistic interpretation the method has lacked.

Read the full story at arXiv stat.ML ↗

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

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