Konstantinos Chatzikokolakis

Exact Optimization of Conformal Predictors via Incremental and Decremental Learning

Conformal Predictors (CP) are wrappers around ML models, providing error guarantees under weak assumptions on the data distribution. They are suitable for a wide range of problems, from classification and regression to anomaly detection. Unfortunately, their very high computational complexity limits…