About contrastive unsupervised representation learning for classification and its convergence. - Ibrahim Merad; Yiyang Yu; Emmanuel Bacry; Stéphane Gaïffas (CoRR, 2020)

Convergence and concentration properties of constant step-size SGD through Markov chains. - Ibrahim Merad; Stéphane Gaïffas (CoRR, 2023)

Robust Methods for High-Dimensional Linear Learning. - Ibrahim Merad; Stéphane Gaïffas (J. Mach. Learn. Res., 2023)

Robust supervised learning with coordinate gradient descent. - Ibrahim Merad; Stéphane Gaïffas (Stat. Comput., 2023)

WildWood: A New Random Forest Algorithm. - Stéphane Gaïffas; Ibrahim Merad; Yiyang Yu (IEEE Trans. Inf. Theory, 2023)

Robust Stochastic Optimization via Gradient Quantile Clipping. - Ibrahim Merad; Stéphane Gaïffas (Trans. Mach. Learn. Res., 2024)

Language verY Rare for All. - Ibrahim Merad; Amos Wolf; Ziad Mazzawi; Yannick Léo (COLING Workshops, 2025)