Author

Dvir Karni

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#machine learning Preprint Oct 2026

Private Component-by-Component Learning

The framework for restoring realizability of private component learners is applied to Boolean compositions and reduces the overhead on a common component sample bound from $\widetilde O(k/\varepsilon)$ to $\widetilde O(\sqrt{k}/\varepsilon)$.

Dvir Karni, Eliad Tsfadia · 0 citations