Machine Learning, Generative Model, Bayesian Machine Learning.
restricting the sharpness of the model function by reducing the amount of “jumpiness” imposed by high-value weights. However, this has shown to be a sub-optimal way of enforcing this constraint, largely because doing so leads to bias. This recent paper tries a clever new idea that they call