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Efficient Robust Learning at the Information-Theoretic Limit

This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.17655v1 Announce Type: cross Abstract: In an important recent work, Blanc (2026) gave an algorithm for robustly learning Boolean concept classes with respect to a fixed distribution that outputs a (randomized) classifier achieving the optimal error of $\eta + \varepsilon$ where $\eta$ is…

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  1. 2026-09-17 04:00 · arXiv stat.ML
    Efficient Robust Learning at the Information-Theoretic Limit

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