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New Paper Extends Universal Law of Robustness to Broader Data Settings

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

A new arXiv paper presents four extensions of Bubeck and Sellke's universal law of robustness, covering log-concave covariates, heterogeneous mixtures, vector-valued predictors, and Markovian data.

Read the full story at arXiv cs.LG ↗

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  1. 2026-11-04 05:00 · arXiv cs.LG
    Four Extensions of the Universal Law of Robustness: Log-Concave Covariates, Heterogeneous Mixtures, Vector-Valued Predictors, and Markovian Data

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