2 papers
cs.LG2026
Revisiting GAN with Bayes-Optimal Discrimination
Mohammadreza Tavasoli Naeini, Ali Bereyhi, Morteza Noshad +2
We propose an alternative to the standard GAN training approach, in which the discriminator is a binary classifier trained by cross-entropy to distinguish real samples from generat…
cs.LG2025
Universal Training of Neural Networks to Achieve Bayes Optimal Classification Accuracy
Mohammadreza Tavasoli Naeini, Ali Bereyhi, Morteza Noshad +2
This work invokes the notion of -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 com…