Rademacher Observations, Private Data, and Boosting

Richard Nock, Giorgio Patrini, Arik Friedman

Abstract: The minimization of the logistic loss is a popular approach to batch supervised learning. Our paper starts from the surprising observation that, when fitting linear classifiers, the minimization of...