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2020 – today
- 2024
[c7]Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis, Thierry Lestable:
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. ICC Workshops 2024: 1956-1961- [i11]Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou:
Investigating Regularization of Self-Play Language Models. CoRR abs/2404.04291 (2024) - 2023
- [j1]Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines:
One-Step Distributional Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Réda Alami, Mohammed Mahfoud, Mastane Achab:
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. ICDM (Workshops) 2023: 272-280 - [i10]Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines:
One-Step Distributional Reinforcement Learning. CoRR abs/2304.14421 (2023) - [i9]Mohamed El Amine Seddik, Mastane Achab, Henrique Goulart, Mérouane Debbah:
A Nested Matrix-Tensor Model for Noisy Multi-view Clustering. CoRR abs/2305.19992 (2023) - [i8]Mastane Achab:
Beyond Log-Concavity: Theory and Algorithm for Sum-Log-Concave Optimization. CoRR abs/2309.15298 (2023) - [i7]Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis:
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. CoRR abs/2310.03767 (2023) - [i6]Réda Alami, Mohammed Mahfoud, Mastane Achab:
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. CoRR abs/2310.19821 (2023) - 2021
- [i5]Mastane Achab, Gergely Neu:
Robustness and risk management via distributional dynamic programming. CoRR abs/2112.15430 (2021) - 2020
- [c5]Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier:
Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling. ESANN 2020: 515-520 - [i4]Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier:
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling. CoRR abs/2002.05145 (2020)
2010 – 2019
- 2019
- [c4]Mastane Achab, Anna Korba, Stéphan Clémençon:
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. ALT 2019: 64-93 - 2018
- [c3]Mastane Achab, Stéphan Clémençon, Aurélien Garivier:
Profitable Bandits. ACML 2018: 694-709 - [i3]Mastane Achab, Stéphan Clémençon, Aurélien Garivier:
Profitable Bandits. CoRR abs/1805.02908 (2018) - [i2]Mastane Achab, Anna Korba, Stéphan Clémençon:
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. CoRR abs/1810.06291 (2018) - 2017
- [c2]Stéphan Clémençon, Mastane Achab:
Ranking Data with Continuous Labels through Oriented Recursive Partitions. NIPS 2017: 4600-4608 - [c1]Mastane Achab
, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade:
Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. ECML/PKDD (2) 2017: 389-404 - [i1]Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade:
Max K-armed bandit: On the ExtremeHunter algorithm and beyond. CoRR abs/1707.08820 (2017)
Coauthor Index
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last updated on 2024-08-22 19:43 CEST by the dblp team
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