Harris Papadopoulos

Conformal prediction for multi-label learning: a review of methods and guarantees

Multi-label learning (MLL) is a machine learning paradigm that aims to predict a set of labels for each instance, rather than a single class. Such tasks arise in a wide range of real-world applications and pose significant challenges, including an exponentially large output space...