Finite-time Analysis of the Multiarmed Bandit Problem, Machine Learning, vol.47, issue.2/3, pp.235-256, 2002. ,
DOI : 10.1023/A:1013689704352
Online Optimization of X-armed Bandits, Advances in Neural Information Processing Systems, pp.201-208, 2008. ,
Pure Exploration in Multi-armed Bandits Problems. Algorithmic Learning Theory, pp.23-37, 2009. ,
X-armed bandits, Journal of Machine Learning Research, vol.12, pp.1587-1627, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00450235
Lipschitz Bandits without the Lipschitz Constant, Algorithmic Learning Theory, pp.144-158, 2011. ,
DOI : 10.1007/978-3-642-24412-4_14
URL : https://hal.archives-ouvertes.fr/hal-00595692
Convergence rates of efficient global optimization algorithms, The Journal of Machine Learning Research, vol.12, pp.2879-2904, 2011. ,
Bandit Algorithms for Tree Search, Uncertainty in Artificial Intelligence, pp.67-74, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00150207
The grand challenge of computer Go, Communications of the ACM, vol.55, issue.3, pp.106-113, 2012. ,
DOI : 10.1145/2093548.2093574
URL : https://hal.archives-ouvertes.fr/hal-00695370
Global Optimization Using Interval Analysis: Revised and Expanded, Pure and Applied Mathematics Series. Marcel Dekker, 2004. ,
Optimistic Planning of Deterministic Systems, European Workshop on Reinforcement Learning, pp.151-164, 2008. ,
DOI : 10.1007/978-3-540-89722-4_12
URL : https://hal.archives-ouvertes.fr/hal-00830182
Lipschitzian optimization without the Lipschitz constant, Journal of Optimization Theory and Applications, vol.20, issue.1, pp.157-181, 1993. ,
DOI : 10.1007/BF00941892
Rigorous Global Search: Continuous Problems. Nonconvex Optimization and Its Applications, 1996. ,
DOI : 10.1007/978-1-4757-2495-0
Multi-armed bandit problems in metric spaces, Proceedings of the 40th ACM symposium on Theory Of Computing, pp.681-690, 2008. ,
Bandit Based Monte-Carlo Planning, Proceedings of the 15th European Conference on Machine Learning, pp.282-293, 2006. ,
DOI : 10.1007/11871842_29
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.1296
Optimistic Optimization of Deterministic Functions without the Knowledge of its Smoothness, Advances in Neural Information Processing Systems, pp.783-791, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00830143
Interval Methods for Systems of Equations. Encyclopedia of Mathematics and its Applications, 2008. ,
Bayesian Gaussian processes for sequential prediction, optimisation and quadrature, 2010. ,
Global Optimization in Action: Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications. Nonconvex Optimization and Its Applications, 1995. ,
DOI : 10.1007/978-1-4757-2502-5
Multi-armed bandits on implicit metric spaces, Advances in Neural Information Processing Systems 24, pp.1602-1610, 2011. ,
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design, Proceedings of International Conference on Machine Learning, pp.1015-1022, 2010. ,
Global Optimization with Non-Convex Constraints: Sequential and Parallel Algorithms. Nonconvex Optimization and Its Applications, 2000. ,
DOI : 10.1007/978-1-4615-4677-1