From the 1 of 8 linked papers with an AI index.
8 papers
Incomplete U-Statistics of Equireplicate Designs: Berry-Esseen Bound and Efficient Construction
Cesare Miglioli, Jordan Awan
The paper develops a hypergraph‑based framework for incomplete U‑statistics, proving a Berry‑Esseen bound that allows Gaussian approximations even in degenerate cases, and provides…
Public Good Provision under Locally Private Signals
Behrooz Moosavi Ramezanzadeh, Jordan Awan
We study public-good provision when a planner observes agents' preferences only through a fixed local-privacy channel that randomizes each report before it reaches the planner. We…
Near-Optimal Private Tests for Simple and MLR Hypotheses
Yu-Wei Chen, Raghu Pasupathy, Jordan Awan
We develop a near-optimal testing procedure under the framework of Gaussian differential privacy for simple as well as one- and two-sided tests under monotone likelihood ratio cond…
Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy
Young Hyun Cho, Jordan Awan
Privacy protection and uncertainty quantification are increasingly important in data-driven decision making. Conformal prediction provides finite-sample marginal coverage, but exis…
Differentially Private Covariate Balancing Causal Inference
Yuki Ohnishi, Jordan Awan
Differential privacy is the leading mathematical framework for privacy protection, providing a probabilistic guarantee that safeguards individuals' private information when publish…
Optimal Survey Design for Private Mean Estimation
Yu-Wei Chen, Raghu Pasupathy, Jordan A. Awan
This work identifies the first privacy-aware stratified sampling scheme that minimizes the variance for general private mean estimation under the Laplace, Discrete Laplace (DLap) a…