Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes

NeurIPS 2019 Jun YangShengyang SunDaniel M. Roy

The developments of Rademacher complexity and PAC-Bayesian theory have been largely independent. One exception is the PAC-Bayes theorem of Kakade, Sridharan, and Tewari (2008), which is established via Rademacher complexity theory by viewing Gibbs classifiers as linear operators... (read more)

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