Search Results for author: Alireza F. Pour

Found 1 papers, 0 papers with code

Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity

no code implementations9 Dec 2023 Alireza F. Pour, Hassan Ashtiani, Shahab Asoodeh

Namely, it breaks the known lower bound of $\Omega\left(\frac{k\log k}{\alpha^2\min \{ \varepsilon^2 , 1\}} \right)$ for the sample complexity of non-interactive hypothesis selection.

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