Machine Learning, Generative Model, Bayesian Machine Learning.
that, over all places in the function, the gradient of the discriminator is <= 1. This stops the loss function from becoming sharply discontinuous. The original suggestion to enforce theoretical constraint on actual, trained models was to clip individual weights when they got too large, indirectly