C. Malherbe, E. Contal, N. Vayatis.
A Ranking Approach to Global
Optimization.
Proceedings of ICML'16, 2016.
Emile
Contal, Cédric Malherbe, Nicolas Vayatis.
Optimization for Gaussian Processes
via Chaining.
NIPS workshop “Bayesian Optimization:
Scalability and Flexibility”, NIPS'15, 2015.
Emile
Contal, Vianney Perchet, Nicolas Vayatis.
Gaussian
Process Optimization with Mutual Information.
Proceedings
of ICML'14 and JMLR W&CP 32 (1) : 253–261, 2014.
A. Juditsky, A. Nazin, A.
Tsybakov, and N. Vayatis.
Gap-free bounds for stochastic multi-armed bandit.
Proceedings of
IFAC'08 , Seoul, Korea, 2007, 2007.
A. Juditsky, A. Nazin, A.
Tsybakov, and N. Vayatis.
Recursive Aggregation of Estimators
via the Mirror Descent Algorithm with averaging.
Problems of Information Transmission
, 41(4): 368-384, 2005.
A. Juditsky, A. Nazin, A. Tsybakov and N. Vayatis.
Generalization Error Bounds for
Aggregation by Mirror Descent With Averaging.
Proceedings of Neural Information
Processing Systems NIPS'2005 ,
MIT Press, 2005.