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Matthew Regehr

1 accepted papers

2025

Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph

NeurIPS 2025poster

We propose an algorithm with improved query-complexity for the problem of hypothesis selection under local differential privacy constraints. Given a set of $k$ probability distributions $Q$, we describe an algorithm that satisfies local differential privacy, performs $\tilde{O}(k^{3/2})$ non-adaptiv…

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