2 papers
stat.ML2026
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…
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…