Tag: classifier-based two-sample tests

  • The Long Walk Home: Statistical Distances, Part 2

    To recap, in the setting of implicit generative modeling (IGM), we wish to train a model to produce data that appears to be drawn from a target distribution $p$, which might be images of cats or whatever else we’re interested in. The distribution $p$ is unknown, and we only have indirect access to it through…