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 dworketal






PAC-BayesLearningBoundsfor Sample-DependentPriors

Neural Information Processing Systems

Sample-dependent priors are also relevant in emerging scenarios such as adversarial training. A common practice here is to smooth a given classifier by injecting Gaussian noise into the inputs.