Search Results for author: Francois Laviolette

Found 4 papers, 0 papers with code

The Indian Chefs Process

no code implementations29 Jan 2020 Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette

This paper introduces the Indian Chefs Process (ICP), a Bayesian nonparametric prior on the joint space of infinite directed acyclic graphs (DAGs) and orders that generalizes Indian Buffet Processes.

Adaptive Deep Kernel Learning

no code implementations28 May 2019 Prudencio Tossou, Basile Dura, Francois Laviolette, Mario Marchand, Alexandre Lacoste

Deep kernel learning provides an elegant and principled framework for combining the structural properties of deep learning algorithms with the flexibility of kernel methods.

Drug Discovery Few-Shot Learning +1

On Generalizing the C-Bound to the Multiclass and Multi-label Settings

no code implementations13 Jan 2015 Francois Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy

The C-bound, introduced in Lacasse et al., gives a tight upper bound on the risk of a binary majority vote classifier.

Cannot find the paper you are looking for? You can Submit a new open access paper.