Mcmillan, Audra

7 publications

ICML 2025 Local Pan-Privacy for Federated Analytics Vitaly Feldman, Audra Mcmillan, Guy N. Rothblum, Kunal Talwar

NeurIPS 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar

ICMLW 2023 Differentially Private Heavy Hitters Using Federated Analytics Karan Chadha, Junye Chen, John Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar

NeurIPS 2022 Mean Estimation with User-Level Privacy Under Data Heterogeneity Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar

NeurIPSW 2021 Mean Estimation with User-Level Privacy Under Data Heterogeneity Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar

NeurIPS 2020 Private Identity Testing for High-Dimensional Distributions Clément L Canonne, Gautam Kamath, Audra McMillan, Jonathan Ullman, Lydia Zakynthinou

NeurIPS 2019 Online Learning via the Differential Privacy Lens Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari