2 papers
math.ST2026
Differentially Private Inference for Longitudinal Linear Regression
Getoar Sopa, Marco Avella Medina, Cynthia Rush
Differential Privacy (DP) provides a rigorous framework for releasing statistics while protecting individual information present in a dataset. Although substantial progress has bee…
stat.ML2025
Differentially Private Hyperparameter Tuning using Local Bayesian Optimization
Getoar Sopa, Juraj Marusic, Marco Avella Medina +1
Hyperparameter tuning is a key component of machine learning procedures, but when validation data contain sensitive user information, search mechanisms can leak private information…