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cs.LG2019
Binary Stochastic Representations for Large Multi-class Classification
Thomas Gerald, Aurélia Léon, Nicolas Baskiotis +1
Classification with a large number of classes is a key problem in machine learning and corresponds to many real-world applications like tagging of images or textual documents in so…
cs.LG2016★ 1 cited
Options Discovery with Budgeted Reinforcement Learning
Aurélia Léon, Ludovic Denoyer
We consider the problem of learning hierarchical policies for Reinforcement Learning able to discover options, an option corresponding to a sub-policy over a set of primitive actio…
cs.LG2015
Reinforced Decision Trees
Aurélia Léon, Ludovic Denoyer
In order to speed-up classification models when facing a large number of categories, one usual approach consists in organizing the categories in a particular structure, this struct…