Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously. - Karim Lounici; Katia Meziani; Benjamin Riu (CoRR, 2020)

Muddling Labels for Regularization, a novel approach to generalization. - Karim Lounici; Katia Meziani; Benjamin Riu (CoRR, 2021)

Muddling Label Regularization: Deep Learning for Tabular Datasets. - Karim Lounici; Katia Meziani; Benjamin Riu (CoRR, 2021)

AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks. - Katia Meziani; Karim Lounici; Benjamin Riu (CoRR, 2022)

MCD: Marginal Contrastive Discrimination for conditional density estimation. - Benjamin Riu (CoRR, 2022)