Tag: hellinger

Hellinger loss function for Generative Adversarial Networks arXiv:2512.12267v1 Announce Type: new Abstract: We propose Hellinger-type loss functions for training Generative Adversarial Networks (GANs), motivated by the boundedness, symmetry, and robustness properties of the Hellinger distance. We define an adversarial objective based on this divergence and study its statistical properties within a general parametric framework. We…