2 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
WildWood: a new Random Forest algorithm
Stéphane Gaïffas, Ibrahim Merad, Yiyang Yu
We introduce WildWood (WW), a new ensemble algorithm for supervised learning of Random Forest (RF) type. While standard RF algorithms use bootstrap out-of-bag samples to compute ou…
About contrastive unsupervised representation learning for classification and its convergence
Ibrahim Merad, Yiyang Yu, Emmanuel Bacry +1
Contrastive representation learning has been recently proved to be very efficient for self-supervised training. These methods have been successfully used to train encoders which pe…
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data
Anastasiia Kabeshova, Yiyang Yu, Bertrand Lukacs +2
This paper considers the problems of modeling and predicting a long-term and ``blurry'' relapse that occurs after a medical act, such as a surgery. The relapse is observed only ind…