More from the Same Authors

• 2019 Poster: Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks »
  Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette
• 2017 : Neil Lawrence, Francis Bach and François Laviolette »
  Neil Lawrence · Francis Bach · Francois Laviolette
• 2017 Poster: Maximum Margin Interval Trees »
  Alexandre Drouin · Toby Hocking · Francois Laviolette
• 2012 Workshop: Multi-Trade-offs in Machine Learning »
  Yevgeny Seldin · Guy Lever · John Shawe-Taylor · Nicolò Cesa-Bianchi · Yacov Crammer · Francois Laviolette · Gabor Lugosi · Peter Bartlett
• 2011 Workshop: New Frontiers in Model Order Selection »
  Yevgeny Seldin · Yacov Crammer · Nicolò Cesa-Bianchi · Francois Laviolette · John Shawe-Taylor
• 2011 Poster: PAC-Bayesian Analysis of Contextual Bandits »
  Yevgeny Seldin · Peter Auer · Francois Laviolette · John Shawe-Taylor · Ronald Ortner
• 2009 Poster: From PAC-Bayes Bounds to KL Regularization »
  Pascal Germain · Alexandre Lacasse · Francois Laviolette · Mario Marchand · Sara Shanian
• 2008 Poster: A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning »
  Massih R Amini · Nicolas Usunier · Francois Laviolette
• 2008 Spotlight: A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning »
  Massih R Amini · Nicolas Usunier · Francois Laviolette
• 2006 Poster: A PAC-Bayes Risk Bound for General Loss Functions »
  Pascal Germain · Alexandre Lacasse · Francois Laviolette · Mario Marchand
• 2006 Poster: PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier »
  Alexandre Lacasse · Francois Laviolette · Mario Marchand · Pascal Germain · Nicolas Usunier
• 2006 Spotlight: PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier »
  Alexandre Lacasse · Francois Laviolette · Mario Marchand · Pascal Germain · Nicolas Usunier