Nathaniel Stromberg

Smoothly Giving up: Robustness for Simple Models

There is a growing need for models that are interpretable and have reduced energy/computational cost (e.g., in health care analytics and federated learning). Examples of algorithms to train such models include logistic regression and boosting. However, one challenge facing these algorithms is that t…