246 citations · 543 across the 21 of their papers we have counts for
4 papers · 1 filter
On the String Kernel Pre-Image Problem with Applications in Drug Discovery
Sébastien Giguère, Amélie Rolland, François Laviolette +1
The pre-image problem has to be solved during inference by most structured output predictors. For string kernels, this problem corresponds to finding the string associated to a giv…
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
Alexandre Drouin, Sébastien Giguère, Vladana Sagatovich +4
The increased affordability of whole genome sequencing has motivated its use for phenotypic studies. We address the problem of learning interpretable models for discrete phenotypes…
Domain-Adversarial Neural Networks
Hana Ajakan, Pascal Germain, Hugo Larochelle +2
We introduce a new representation learning algorithm suited to the context of domain adaptation, in which data at training and test time come from similar but different distributio…
Sequential Model-Based Ensemble Optimization
Alexandre Lacoste, Hugo Larochelle, François Laviolette +1
One of the most tedious tasks in the application of machine learning is model selection, i.e. hyperparameter selection. Fortunately, recent progress has been made in the automation…