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Hédi Hadiji
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2020 – today
- 2024
- [j3]Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz:
Diversity-Preserving K-Armed Bandits, Revisited. Trans. Mach. Learn. Res. 2024 (2024) - [i9]Hédi Hadiji, Sarah Sachs, Cristóbal Guzmán:
Tracking solutions of time-varying variational inequalities. CoRR abs/2406.14059 (2024) - 2023
- [j2]Hédi Hadiji, Gilles Stoltz:
Adaptation to the Range in K-Armed Bandits. J. Mach. Learn. Res. 24: 13:1-13:33 (2023) - [c5]Hédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen:
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. NeurIPS 2023 - [i8]Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Accelerated Rates between Stochastic and Adversarial Online Convex Optimization. CoRR abs/2303.03272 (2023) - [i7]Hédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen:
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. CoRR abs/2304.12768 (2023) - 2022
- [j1]Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz:
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints. J. Mach. Learn. Res. 23: 179:1-179:66 (2022) - [c4]Dirk van der Hoeven, Hédi Hadiji, Tim van Erven:
Distributed Online Learning for Joint Regret with Communication Constraints. ALT 2022: 1003-1042 - [c3]Jack J. Mayo, Hédi Hadiji, Tim van Erven:
Scale-free Unconstrained Online Learning for Curved Losses. COLT 2022: 4464-4497 - [c2]Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness. NeurIPS 2022 - [i6]Jack J. Mayo, Hédi Hadiji, Tim van Erven:
Scale-free Unconstrained Online Learning for Curved Losses. CoRR abs/2202.05630 (2022) - [i5]Sarah Sachs, Hédi Hadiji, Tim van Erven, Cristóbal Guzmán:
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness. CoRR abs/2202.07554 (2022) - 2021
- [i4]Dirk van der Hoeven, Hédi Hadiji, Tim van Erven:
Distributed Online Learning for Joint Regret with Communication Constraints. CoRR abs/2102.07521 (2021) - 2020
- [i3]Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz:
Diversity-Preserving K-Armed Bandits, Revisited. CoRR abs/2010.01874 (2020)
2010 – 2019
- 2019
- [c1]Hédi Hadiji:
Polynomial Cost of Adaptation for X-Armed Bandits. NeurIPS 2019: 1027-1036 - [i2]Hédi Hadiji:
Polynomial Cost of Adaptation for X -Armed Bandits. CoRR abs/1905.10221 (2019) - 2018
- [i1]Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz:
KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints. CoRR abs/1805.05071 (2018)
Coauthor Index
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last updated on 2024-08-10 01:27 CEST by the dblp team
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