CLIMB Evergreen talk with Rina Foygel Barber: Stability of black-box algorithms

Stability of black-box algorithms

Algorithmic stability is a framework for studying the properties of a model fitting algorithm, with many downstream implications for generalization, predictive inference, and other important statistical problems. Stability is often defined as the property that predictions on a new test point are not substantially altered by removing a single point at random...