Sébastien Gerchinovitz
Sébastien Gerchinovitz
Research scientist, IRT Saint-Exupéry, Toulouse
Verified email at math.univ-toulouse.fr - Homepage
TitleCited byYear
Sparsity regret bounds for individual sequences in online linear regression
S Gerchinovitz
Journal of Machine Learning Research 14 (Mar), 729-769, 2013
Prediction of individual sequences and prediction in the statistical framework: some links around sparse regression and aggregation techniques
S Gerchinovitz
Université Paris-Sud XI, 2011
Refined lower bounds for adversarial bandits
S Gerchinovitz, T Lattimore
Advances in Neural Information Processing Systems, 1198-1206, 2016
Algorithmic chaining and the role of partial feedback in online nonparametric learning
N Cesa-Bianchi, P Gaillard, C Gentile, S Gerchinovitz
arXiv preprint arXiv:1702.08211, 2017
A multiple-play bandit algorithm applied to recommender systems
J Louëdec, M Chevalier, J Mothe, A Garivier, S Gerchinovitz
The Twenty-Eighth International Flairs Conference, 2015
A chaining algorithm for online nonparametric regression
P Gaillard, S Gerchinovitz
Conference on Learning Theory, 764-796, 2015
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
G Jauvion, N Grislain, P Dkengne Sielenou, A Garivier, S Gerchinovitz
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Adaptive and optimal online linear regression on ℓ1-balls
S Gerchinovitz, JY Yu
Theoretical Computer Science 519, 4-28, 2014
A further look at sequential aggregation rules for ozone ensemble forecasting
S Gerchinovitz, V Mallet, G Stoltz
Rapport technique, INRIA Paris-Rocquencourt et École normale supérieure, Paris, 2008
Fano's inequality for random variables
S Gerchinovitz, P Ménard, G Stoltz
arXiv preprint arXiv:1702.05985, 2017
Adaptive simulated annealing with homogenization for aircraft trajectory optimization
C Bouttier, O Babando, S Gadat, S Gerchinovitz, S Laporte, F Nicol
Operations Research Proceedings 2015, 569-574, 2017
Uniform regret bounds over for the sequential linear regression problem with the square loss
P Gaillard, S Gerchinovitz, M Huard, G Stoltz
arXiv preprint arXiv:1805.11386, 2018
Vitesse minimax du regret interne en prédiction de suites individuelles
S Gerchinovitz
Regret analysis of the Piyavskii-Shubert algorithm for global Lipschitz optimization
C Bouttier, T Cesari, S Gerchinovitz
arXiv preprint arXiv:2002.02390, 2020
Optimal functional supervised classification with separation condition
S Gadat, S Gerchinovitz, C Marteau
arXiv preprint arXiv:1801.03345, 2018
Optimisation de croisière sous incertitude de contrôle aérien ROADEF, congrès annuel
C Bouttier, S Gadat, S Gerchinovitz, F Nicol
Recuit simulé adaptatif pour l'optimisation de trajectoire d'avion
C Bouttier, S Gadat, S Gerchinovitz, F Nicol
Ensemble forecast with machine learning algorithms
V Mallet, G Stoltz, E Debry, B Mauricette, S Gerchinovitz
EGU General Assembly Conference Abstracts 11, 9974, 2009
Algorithmes de bandit pour les systèmes de recommandation: le cas de multiples recommandations simultanées (regular paper)
J Louëdec, M Chevalier, J Mothe, A Garivier, S Gerchinovitz
Conférence francophone en Recherche d’Information et Applications (CORIA …, 0
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Articles 1–19