Speaker: Daniel Ramos Castro. Abstract: Probabilistic predictions are vital for decision-making in many applications of machine learning and AI, including medicine, forensics, security, and safety. However, many multiclass classifiers produce poorly calibrated outputs, leading to suboptimal decisions with potentially high… Read More
