activity
20172022
most citedLocally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms

13 citations · 22 across the 5 of their papers we have counts for

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8 papers · 1 filter

math.ST2022

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility

Thomas B Berrett, Richard J Samworth

Given a set of incomplete observations, we study the nonparametric problem of testing whether data are Missing Completely At Random (MCAR). Our first contribution is to characteris…

math.ST2022

Discussion of 'Multivariate Fisher's independence test for multivariate dependence'

Thomas B Berrett

Invited discussion for Biometrika of 'Multivariate Fisher's independence test for multivariate dependence' by Gorsky and Ma (2022).

math.ST2021

Goodness-of-fit testing for Hölder continuous densities under local differential privacy

Amandine Dubois, Thomas Berrett, Cristina Butucea

We address the problem of goodness-of-fit testing for Hölder continuous densities under local differential privacy constraints. We study minimax separation rates when only non-inte…

math.ST2021

Locally private online change point detection

Thomas Berrett, Yi Yu

We study online change point detection problems under the constraint of local differential privacy (LDP) where, in particular, the statistician does not have access to the raw data…

math.ST2020

Strongly universally consistent nonparametric regression and classification with privatised data

Thomas Berrett, László Györfi, Harro Walk

In this paper we revisit the classical problem of nonparametric regression, but impose local differential privacy constraints. Under such constraints, the raw data $(X_1,Y_1),\ldot…

math.ST202013 cited

Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms

Thomas B. Berrett, Cristina Butucea

We find separation rates for testing multinomial or more general discrete distributions under the constraint of local differential privacy. We construct efficient randomized algori…