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…
cs.LG2024
Thompson Sampling Itself is Differentially Private
Tingting Ou, Marco Avella Medina, Rachel Cummings
In this work we first show that the classical Thompson sampling algorithm for multi-arm bandits is differentially private as-is, without any modification. We provide per-round priv…