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The Indian Chefs Process

Jan 29, 2020
Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette

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Adaptive Deep Kernel Learning

May 28, 2019
Prudencio Tossou, Basile Dura, Francois Laviolette, Mario Marchand, Alexandre Lacoste

* Submitted at NeurIPS 2019 

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An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context

Jan 13, 2015
Pascal Germain, Amaury Habrard, Francois Laviolette, Emilie Morvant

* NIPS 2014 Workshop on Transfer and Multi-task learning: Theory Meets Practice, Dec 2014, Montr{\'e}al, Canada 

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

Jan 13, 2015
Francois Laviolette, Emilie Morvant, Liva Ralaivola, Jean-Francis Roy

* NIPS 2014 Workshop on Representation and Learning Methods for Complex Outputs, Dec 2014, Montr{\'e}al, Canada 

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