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Omar Montasser

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Preprint Aug 2026

Bagging Robustly Learns VC Classes with Linear Sample Complexity

It is proved that VC classes are adversarially robustly learnable with sample complexity linear in the VC dimension $d$, providing an exponential improvement over the previous upper bound of Montasser, Hanneke, and Srebro (2019).

Omar Montasser · 0 citations