Online Orthogonal Matching Pursuit. - El Mehdi Saad; Gilles Blanchard; Sylvain Arlot (CoRR, 2020)

Fast rates for prediction with limited expert advice. - El Mehdi Saad; Gilles Blanchard (NeurIPS, 2021)

Contributions to Frugal Learning. (Quelques contributions à l'apprentissage frugal). - El Mehdi Saad (2022)

Constant regret for sequence prediction with limited advice. - El Mehdi Saad; Gilles Blanchard (ALT, 2023)

Active Ranking of Experts Based on their Performances in Many Tasks. - El Mehdi Saad; Nicolas Verzelen; Alexandra Carpentier (ICML, 2023)

Covariance-adaptive best arm identification. - El Mehdi Saad; Gilles Blanchard; Nicolas Verzelen (NeurIPS, 2023)

On Weak Regret Analysis for Dueling Bandits. - El Mehdi Saad; Alexandra Carpentier; Tomás Kocák; Nicolas Verzelen (NeurIPS, 2024)

New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition. - El Mehdi Saad; Wei-Cheng Lee; Francesco Orabona (COLT, 2025)

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning. - Artavazd Maranjyan; El Mehdi Saad; Peter Richtárik; Francesco Orabona (CoRR, 2025)

New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Composition. - El Mehdi Saad; Weicheng Lee; Francesco Orabona (CoRR, 2025)