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20122026
most citedPropose, Test, Release: Differentially private estimation with high probability

13 citations · 38 across the 12 of their papers we have counts for

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16 papers · 1 filter

math.ST2026

Bernstein-von Mises theorem for log-concave posteriors

Victor-Emmanuel Brunel

We prove new, general versions of Bernstein-von Mises theorem for both well-specified and misspecified models when the log-likelihood is concave in the parameter and the prior dist…

math.ST2025

Asymptotics of constrained -estimation under convexity

Victor-Emmanuel Brunel

M-estimation, aka empirical risk minimization, is at the heart of statistics and machine learning: Classification, regression, location estimation, etc. Asymptotic theory is well u…

math.ST20251 cited

Finite sample bounds for barycenter estimation in geodesic spaces

Victor-Emmanuel Brunel, Jordan Serres

We study the problem of estimating the barycenter of a distribution given i.i.d. data in a geodesic space. Assuming an upper curvature bound in Alexandrov's sense and a support con…

math.ST2023

Convex generalized Fréchet means in a metric tree

Gabriel Romon, Victor-Emmanuel Brunel

We are interested in measures of central tendency for a population on a network, which is modeled by a metric tree. The location parameters that we study are generalized Fréche…

math.ST2023

Geodesically convex -estimation in metric spaces

Victor-Emmanuel Brunel

We study the asymptotic properties of geodesically convex -estimation on non-linear spaces. Namely, we prove that under very minimal assumptions besides geodesic convexity of th…

math.ST2023

Concentration of empirical barycenters in metric spaces

Victor-Emmanuel Brunel, Jordan Serres

Barycenters (aka Fréchet means) were introduced in statistics in the 1940's and popularized in the fields of shape statistics and, later, in optimal transport and matrix analysis.…