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Xuedong Shang
Xuedong Shang
INRIA (SequeL -> SCOOL)
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Gamification of pure exploration for linear bandits
R Degenne, P Ménard, X Shang, M Valko
37th International Conference on Machine Learning, 2020
932020
Fixed-confidence guarantees for Bayesian best-arm identification
X Shang, R de Heide, E Kaufmann, P Ménard, M Valko
23rd International Conference on Artificial Intelligence and Statistics, 2020
702020
UCB momentum Q-learning: Correcting the bias without forgetting
P Ménard, OD Domingues, X Shang, M Valko
38th International Conference on Machine Learning, 2021
452021
General parallel optimization without a metric
X Shang, E Kaufmann, M Valko
30th International Conference on Algorithmic Learning Theory, 2019
342019
rlberry - A reinforcement learning library for research and education
rlberry Team
GitHub repository, 2021
19*2021
A simple dynamic bandit algorithm for hyper-parameter tuning
X Shang, E Kaufmann, M Valko
6th ICML Workshop on Automated Machine Learning, 2019
112019
Adaptive black-box optimization got easier: HCT only needs local smoothness
X Shang, E Kaufmann, M Valko
14th European Workshop on Reinforcement Learning, 2018
92018
Hierarchical Bandits for Black-Box Optimization and Monte-Carlo Tree Search
X Shang
Ecole normale supérieure de Cachan (Rennes), 2017
4*2017
Stochastic bandits with vector losses: Minimizing -norm of relative losses
X Shang, H Shao, J Qian
15th European Workshop on Reinforcement Learning, 2022
22022
Time series clustering
D Barbe, A Debant, X Shang
https://xuedong.github.io/static/documents/time_series.pdf, 2016
22016
Price of safety in linear best arm identification
X Shang, I Colin, M Barlier, H Cherkaoui
arXiv preprint arXiv:2309.08709, 2023
12023
Adaptive Methods for Optimisation in Stochastic Environments
X Shang
Université de Lille / Inria Lille, SequeL, 2021
2021
LinBAI.jl: Gamification of pure exploration for linear bandits
X Shang
GitHub repository, 2021
2021
Reinforcement Learning Summer School
N Carrara, OD Domingues, Y Flet-Berliac, E Kaufmann, E Leurent, ...
Scientific Event Organization, 2019
2019
Simple (dynamic) bandit algorithms for hyper-parameter optimization
X Shang, E Kaufmann, M Valko
https://xuedong.github.io/static/documents/dttts.pdf, 2019
2019
Optimal transport geometry for sentiment analysis
X Shang
Yamamoto-Cuturi Lab., Graduate School of Informatics, Kyoto University, 2016
2016
Recommandation personnalisée
X Shang
Team Magnet, Inria Lille - Nord Europe, 2015
2015
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Articles 1–17