Mohammadreza Tavasoli Naeini

Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy

This work invokes the notion of f-divergence to introduce a novel upper bound on the Bayes error rate of a general classification task. We show that the proposed bound can be computed by sampling from the output of a parameterized model. Using this practical interpretation, we introduce the Bayes op…