Jordan Awan

10 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-9404-7499

University of Pittsburgh

Publications

• Particle Filter for Bayesian Inference on Privatized Data — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Simulation-Based, Finite-Sample Inference for Privatized Data — Journal of the American Statistical Association 2025 (name-matched, not ORCID-linked)
• Locally Private Causal Inference for Randomized Experiments — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Best Linear Unbiased Estimate from Privatized Contingency Tables — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Differentially Private Topological Data Analysis — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Privacy-Aware Rejection Sampling — Journal of Machine Learning Research 2023
• Canonical noise distributions and private hypothesis tests — The Annals of Statistics 2023
• Structure and Sensitivity in Differential Privacy: ComparingK-Norm Mechanisms — Journal of the American Statistical Association 2021 (name-matched, not ORCID-linked)