Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

Intrinsic-Dimensional Wasserstein Guarantees for Private Synthetic Measures

We study an $\varepsilon$-differentially private synthetic measure for $n$ points in $[0,1]^d$ by applying the existing PrivTree algorithm to construct an adaptive binary partition and then privately releasing its leaf masses. We consider the worst-case data model without any sampling or population-distribution assumpt...

Yi-Yun He · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.