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stat.ML2025
A Connection Between Learning to Reject and Bhattacharyya Divergences
Alexander Soen
Learning to reject provide a learning paradigm which allows for our models to abstain from making predictions. One way to learn the rejector is to learn an ideal marginal distribut…
cs.LG2025
Domain Adaptation and Entanglement: an Optimal Transport Perspective
Okan Koç, Alexander Soen, Chao-Kai Chiang +1
Current machine learning systems are brittle in the face of distribution shifts (DS), where the target distribution that the system is tested on differs from the source distributio…