Asoodeh, Shahab

9 publications

NeurIPS 2025 Locally Optimal Private Sampling: Beyond the Global Minimax Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh

AISTATS 2025 Locally Private Sampling with Public Data Behnoosh Zamanlooy, Mario Diaz, Shahab Asoodeh

ICML 2025 Optimizing Noise Distributions for Differential Privacy Atefeh Gilani, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar

NeurIPS 2024 Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee

COLT 2024 Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity Alireza F. Pour, Hassan Ashtiani, Shahab Asoodeh

ICML 2023 The Saddle-Point Method in Differential Privacy Wael Alghamdi, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar

NeurIPS 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak, Shahab Asoodeh, Flavio Calmon

AISTATS 2020 Obfuscation via Information Density Estimation Hsiang Hsu, Shahab Asoodeh, Flavio Calmon

AAAI 2019 Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds Tingran Gao, Shahab Asoodeh, Yi Huang, James A. Evans