76 citations · 215 across the 31 of their papers we have counts for
4 papers · 1 filter
Fair Adversarial Gradient Tree Boosting
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
Fair classification has become an important topic in machine learning research. While most bias mitigation strategies focus on neural networks, we noticed a lack of work on fair cl…
Fairness-Aware Neural Réyni Minimization for Continuous Features
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
The past few years have seen a dramatic rise of academic and societal interest in fair machine learning. While plenty of fair algorithms have been proposed recently to tackle this…
Learning Dynamic Author Representations with Temporal Language Models
Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer
Language models are at the heart of numerous works, notably in the text mining and information retrieval communities. These statistical models aim at extracting word distributions,…
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski +1
Abstractive summarization approaches based on Reinforcement Learning (RL) have recently been proposed to overcome classical likelihood maximization. RL enables to consider complex,…