title: Collective Output Distribution dependent Loss Function
body: <p>Most of the Machine Learning losses focus on making each prediction better (have contribution from each batch example). Is there a custom way to focus more on how the overall predictions look like (say I want a Poisson looking distribution, and I don’t care if the predictions are at either end of the distribution as long as the aggregated batch predictions look like Poisson)</p>