Quasiprobabilistic Density Ratio Estimation with a Reverse Engineered Classification Loss Function

Matthew Drnevich, Stephen Jiggins, Kyle Cranmer

We consider a generalization of the classifier-based density-ratio estimation task to a quasiprobabilistic setting where probability densities can be negative. The problem with mos…