4 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion
Jean-Samuel Leboeuf, Frédéric LeBlanc, Mario Marchand
We significantly improve the generalization bounds for VC classes by using two main ideas. First, we consider the hypergeometric tail inversion to obtain a very tight non-uniform d…
Decision trees as partitioning machines to characterize their generalization properties
Jean-Samuel Leboeuf, Frédéric LeBlanc, Mario Marchand
Decision trees are popular machine learning models that are simple to build and easy to interpret. Even though algorithms to learn decision trees date back to almost 50 years, key…
Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations
Nicolas Garneau, Jean-Samuel Leboeuf, Yuval Pinter +1
We propose a new contextual-compositional neural network layer that handles out-of-vocabulary (OOV) words in natural language processing (NLP) tagging tasks. This layer consists of…