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Germain et al., 2016 - Google Patents

PAC-Bayesian theory meets Bayesian inference

Germain et al., 2016

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Document ID
16391430069914305742
Author
Germain P
Bach F
Lacoste A
Lacoste-Julien S
Publication year
Publication venue
Advances in Neural Information Processing Systems

External Links

Snippet

We exhibit a strong link between frequentist PAC-Bayesian bounds and the Bayesian marginal likelihood. That is, for the negative log-likelihood loss function, we show that the minimization of PAC-Bayesian generalization bounds maximizes the Bayesian marginal …
Continue reading at proceedings.neurips.cc (PDF) (other versions)

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