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Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games

 Hédi Hadiji , Sarah Sachs , Tim van Erven , Wouter M. Koolen
Advances in Neural Information Processing Systems, 2023
Proceedings/Recueil des communications hal-04079773v2
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On some adaptivity question in stochastic multi-armed bandits problems

 Hédi Hadiji
Statistics [math.ST]. Université Paris-Saclay, 2020. English. ⟨NNT : ⟩
Thèse tel-02941801v1
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Diversity-Preserving K-Armed Bandits, Revisited

 Hédi Hadiji , Sébastien Gerchinovitz , Jean-Michel Loubes , Gilles Stoltz
2024
Pré-publication, Document de travail hal-02957485v2
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KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints

 Aurélien Garivier , Hédi Hadiji , Pierre Ménard , Gilles Stoltz
Journal of Machine Learning Research, 2022, 23 (179), pp.1-66
Article dans une revue hal-01785705v3
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Polynomial Cost of Adaptation for X -Armed Bandits

 Hédi Hadiji
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02138492v2
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Adaptation to the Range in $K$-Armed Bandits

 Hédi Hadiji , Gilles Stoltz
Journal of Machine Learning Research, 2023, 24 (13), pp.1-33
Article dans une revue hal-02794382v3
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