Maximum-EntropyAdversarialDataAugmentation forImprovedGeneralizationandRobustness: SupplementaryMaterial
–Neural Information Processing Systems
LetZ bearandomvariable(continuousordiscrete), and Y be a random variable with a finite set of outcomesY. Following the guidance of [3], we first assume a family of probability densities over the latent variablesθparameterized byψ,i.e.,q(θ|ψ). We use SGD for both minimization and maximization.
Neural Information Processing Systems
Feb-9-2026, 16:45:00 GMT
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