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econ.TH2026
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…
stat.ML2026
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…
stat.ML2026
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…