Binary Stochastic Representations for Large Multi-class Classification

no code implementations • 24 Jun 2019 • Thomas Gerald, Aurélia Léon, Nicolas Baskiotis, Ludovic Denoyer

Different models based on the notion of binary codes have been proposed to overcome this limitation, achieving in a sublinear inference complexity.

Classification General Classification +1

Options Discovery with Budgeted Reinforcement Learning

no code implementations • 21 Nov 2016 • 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 actions.

reinforcement-learning Reinforcement Learning (RL)

Reinforced Decision Trees

no code implementations • 5 May 2015 • 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 structure being then used as a way to speed-up the prediction computation.