Mastane Achab

According to our database, Mastane Achab authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating Regularization of Self-Play Language Models.

Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou

CoRR, 2024

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study.

Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis, Thierry Lestable

Proceedings of the IEEE International Conference on Communications Workshops, 2024

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

CoRR, 2023

Beyond Log-Concavity: Theory and Algorithm for Sum-Log-Concave Optimization.

Mastane Achab

CoRR, 2023

A Nested Matrix-Tensor Model for Noisy Multi-view Clustering.

Mohamed El Amine Seddik, Mastane Achab, Henrique Goulart, Mérouane Debbah

CoRR, 2023

A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits.

Réda Alami, Mohammed Mahfoud, Mastane Achab

Proceedings of the IEEE International Conference on Data Mining, 2023

2021

Robustness and risk management via distributional dynamic programming.

Mastane Achab, Gergely Neu

CoRR, 2021

2020

Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling.

Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier

CoRR, 2020

Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling.

Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach.

Mastane Achab, Anna Korba, Stéphan Clémençon

Proceedings of the Algorithmic Learning Theory, 2019

2018

Profitable Bandits.

Mastane Achab, Stéphan Clémençon, Aurélien Garivier

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond.

Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Ranking Data with Continuous Labels through Oriented Recursive Partitions.

Stéphan Clémençon, Mastane Achab

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017