Brett C. Mullins

Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data

Mechanisms for generating differentially private synthetic data based on marginals and graphical models have been successful in a wide range of settings. However, one limitation of these methods is their inability to incorporate public data. Initializing a data generating model by pre-training on pu…