 | 2011 |
|---|
| 5 |       | Pascal Germain,
Alexandre Lacoste,
François Laviolette,
Mario Marchand,
Sara Shanian:
A PAC-Bayes Sample-compression Approach to Kernel Methods.
ICML 2011: 297-304 |
| 2009 |
|---|
| 4 |  | Pascal Germain,
Alexandre Lacasse,
François Laviolette,
Mario Marchand:
PAC-Bayesian learning of linear classifiers.
ICML 2009: 45 |
| 3 | | Pascal Germain,
Alexandre Lacasse,
François Laviolette,
Mario Marchand,
Sara Shanian:
From PAC-Bayes Bounds to KL Regularization.
NIPS 2009: 603-610 |
| 2006 |
|---|
| 2 | | Pascal Germain,
Alexandre Lacasse,
François Laviolette,
Mario Marchand:
A PAC-Bayes Risk Bound for General Loss Functions.
NIPS 2006: 449-456 |
| 1 | | Alexandre Lacasse,
François Laviolette,
Mario Marchand,
Pascal Germain,
Nicolas Usunier:
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier.
NIPS 2006: 769-776 |
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