Ranking Data with Continuous Labels through Oriented Recursive Partitions. - Stéphan Clémençon; Mastane Achab (NIPS, 2017)

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. - Mastane Achab; Stéphan Clémençon; Aurélien Garivier; Anne Sabourin; Claire Vernade (ECML/PKDD (2), 2017)

Profitable Bandits. - Mastane Achab; Stéphan Clémençon; Aurélien Garivier (ACML, 2018)

Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. - Mastane Achab; Anna Korba; Stéphan Clémençon (ALT, 2019)

Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling. - Robin Vogel; Mastane Achab; Stéphan Clémençon; Charles Tillier (ESANN, 2020)

Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling. - Robin Vogel; Mastane Achab; Stéphan Clémençon; Charles Tillier (CoRR, 2020)

Robustness and risk management via distributional dynamic programming. - Mastane Achab; Gergely Neu (CoRR, 2021)

A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. - Réda Alami; Mohammed Mahfoud; Mastane Achab (ICDM (Workshops), 2023)

A Nested Matrix-Tensor Model for Noisy Multi-view Clustering. - Mohamed El Amine Seddik; Mastane Achab; Henrique Goulart; Mérouane Debbah (CoRR, 2023)

Beyond Log-Concavity: Theory and Algorithm for Sum-Log-Concave Optimization. - Mastane Achab (CoRR, 2023)

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. - Fouzi Boukhalfa; Réda Alami; Mastane Achab; Eric Moulines; Mehdi Bennis (CoRR, 2023)

One-Step Distributional Reinforcement Learning. - Mastane Achab; Réda Alami; Yasser Abdelaziz Dahou Djilali; Kirill Fedyanin; Eric Moulines (Trans. Mach. Learn. Res., 2023)

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. - Fouzi Boukhalfa; Réda Alami; Mastane Achab; Eric Moulines; Mehdi Bennis; Thierry Lestable (ICC Workshops, 2024)

Investigating Regularization of Self-Play Language Models. - Réda Alami; Abdalgader Abubaker; Mastane Achab; Mohamed El Amine Seddik; Salem Lahlou (CoRR, 2024)

A Bregman firmly nonexpansive proximal operator for baryconvex optimization. - Mastane Achab (CoRR, 2024)