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Clement Canonne

2 accepted papers

2019

Communication-Constrained Inference and the Role of Shared Randomness

ICML 2019oral

A central server needs to perform statistical inference based on samples that are distributed over multiple users who can each send a message of limited length to the center. We study problems of distribution learning and identity testing in this distributed inference setting and examine the role of…

Cited by 7Source ↗PDF ↗Scholar ↗
2019

Test without Trust: Optimal Locally Private Distribution Testing

AISTATS 2019poster

We study the problem of distribution testing when the samples can only be accessed using a locally differentially private mechanism and focus on two representative testing questions of identity (goodness-of-fit) and independence testing for discrete distributions. First, we construct tests that use…

Cited by 75Source ↗PDF ↗Scholar ↗