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Jérémie Decock
Jérémie Decock
INRIA, Research Centre Saclay – Île-de-France
Verified email at cea.fr - Homepage
Title
Cited by
Cited by
Year
Noisy optimization complexity under locality assumption
J Decock, O Teytaud
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII …, 2013
162013
Learning cost-efficient control policies with XCSF: Generalization capabilities and further improvement
D Marin, J Decock, L Rigoux, O Sigaud
Proceedings of the 13th annual Conference on Genetic and Evolutionary …, 2011
162011
Noisy optimization complexity
O Teytaud, J Decock
FOGA-Foundations of Genetic Algorithms XII-2013, Adelaide, Australie, 837-857, 2013
82013
Direct model predictive control
JJ Christophe, J Decock, O Teytaud
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2014
52014
Variance reduction in population-based optimization: application to unit commitment
JJ Christophe, J Decock, J Liu, O Teytaud
Artificial Evolution: 12th International Conference, Evolution Artificielle …, 2016
42016
Variance reduction in population-based optimization: Application to unit commitment
J Decock, J Liu, O Tetaud
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
32015
Hybridization of dynamic optimization methodologies
J Decock
Paris 11, 2014
32014
Linear Convergence of Evolution Strategies with Derandomized Sampling Beyond Quasi-Convex Functions
J Decock, O Teytaud
International Conference on Artificial Evolution (Evolution Artificielle), 53-64, 2013
22013
Direct model predictive control: A theoretical and numerical analysis
ML Cauwet, J Decock, J Liu, O Teytaud
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
12018
Noisy optimization
S Astete-Morales, ML Cauwet, A Couetoux, J Decock, J Liu, O Teytaud
Dagstuhl seminar 13271, 2013
12013
Evolutionary Cutting Planes
J Decock, DL Saint-Pierre, O Teytaud
Artificial Evolution (EA2015), 2015
2015
Linear Convergence of Evolution Strategies with Derandomized Sampling
J Decock, O Teytaud
2014
Optimization of Energy Policies Using Direct Value Search
J Decock, JJ Christophe, O Teytaud
9èmes Journées Francophones de Planification, Décision et Apprentissage …, 2014
2014
Noisy Optimization Complexity
UL Assumption, J Decock, O Teytaud
2014
Learning Cost-Efficient Control Policies with XCSF
J Decock
2013
Apprentissage de politiques efficaces avec XCSF et CEPS
D Marin, J Decock, L Rigoux, O Sigaud
JFPDA 2011, 298-310, 2011
2011
Présentation de l’article An efficient boosting algorithm for combining preferences (Y. Freund et al., 1998)
F Rousseau, J Decock
2010
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Articles 1–17