NIPS Proceedingsβ

Pascal Germain

5 Papers

  • Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks (2019)
  • PAC-Bayesian Theory Meets Bayesian Inference (2016)
  • From PAC-Bayes Bounds to KL Regularization (2009)
  • A PAC-Bayes Risk Bound for General Loss Functions (2006)
  • PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier (2006)