AI RESEARCH
Differentially Private Nonparametric Confidence Intervals Under Minimal Distributional Assumptions
arXiv CS.LG
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ArXi:2511.01303v2 Announce Type: replace-cross We consider the problem of constructing differentially private nonparametric confidence intervals (CIs) for an arbitrary quantity using resampling. A growing body of work has adapted resampling ideas to the private setting, including private bootstrap methods \cite{brawner2018bootstrap, wang2025differentially,dette2025gaussian} and BLB-based subsample-and-aggregate approaches \cite{covington2025unbiased, chadha2024resampling