Learning Heteroscedastic Models by Convex Programming under Group Sparsity. - Arnak S. Dalalyan; Mohamed Hebiri; Katia Meziani; Joseph Salmon (ICML (3), 2013)

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)

CoHiRF: A Scalable and Interpretable Clustering Framework for High-Dimensional Data. - Bruno Belucci; Karim Lounici; Katia Meziani (CoRR, 2025)