What is Maximum Mean Discrepancy (MMD) in model evaluation?

MMD measures distance between two probability distributions.

MMD compares distributions by mapping them into a reproducing kernel Hilbert space and computing mean differences. It is widely used in generative model evaluation and domain adaptation to detect distribution mismatch.