Audra McMillan

activity

20162022

most citedPrivate Federated Statistics in an Interactive Setting

3 citations · 5 across the 3 of their papers we have counts for

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Showing math.STShow all

2 papers · 1 filter

math.ST2022

Instance-Optimal Differentially Private Estimation

Audra McMillan, Adam Smith, Jon Ullman

In this work, we study local minimax convergence estimation rates subject to $ε$ -differential privacy. Unlike worst-case rates, which may be conservative, algorithms that are local…

math.ST2016

When is Nontrivial Estimation Possible for Graphons and Stochastic Block Models?

Audra McMillan, Adam Smith

Block graphons (also called stochastic block models) are an important and widely-studied class of models for random networks. We provide a lower bound on the accuracy of estimators…