# Mining gold from implicit models to improve likelihood-free inference

Contribution: observation that additional information can be extracted from the simulator, and loss functions to more efficiently learn approximations to the likelihood function. The “augmented” data can be used to define locally optimal summary statistics, which can then be used for inference.