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Its defining equation is equivalent to Z 1 −1 gp(u)µ t∗(p)(du) =g p(t∗(p)), equivalently, Z 1 −1 r(u)p µt∗(p)(du) 1/p =r t∗(p) · 1993

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Differentially Private Sampling from Distributions via Wasserstein Projection

stat.ML · 2026-05-11 · unverdicted · novelty 7.0

Proposes Wasserstein Projection Mechanism for differentially private sampling that optimizes Wasserstein distance utility and provides convergence guarantees for approximate computation.

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Differentially Private Sampling from Distributions via Wasserstein Projection stat.ML · 2026-05-11 · unverdicted · none · ref 10
Proposes Wasserstein Projection Mechanism for differentially private sampling that optimizes Wasserstein distance utility and provides convergence guarantees for approximate computation.

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