Gilles Stoltz
Gilles Stoltz
CNRS / Université Paris-Saclay / HEC Paris
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Cited by
Cited by
Pure exploration in multi-armed bandits problems
S Bubeck, R Munos, G Stoltz
Algorithmic Learning Theory: 20th International Conference, ALT 2009, Porto …, 2009
X-Armed Bandits.
S Bubeck, R Munos, G Stoltz, C Szepesvári
Journal of Machine Learning Research 12 (5), 2011
Kullback-Leibler upper confidence bounds for optimal sequential allocation
O Cappé, A Garivier, OA Maillard, R Munos, G Stoltz
The Annals of Statistics, 1516-1541, 2013
Pure exploration in finitely-armed and continuous-armed bandits
S Bubeck, R Munos, G Stoltz
Theoretical Computer Science 412 (19), 1832-1852, 2011
Online optimization in X-armed bandits
S Bubeck, G Stoltz, C Szepesvári, R Munos
Advances in Neural Information Processing Systems 21, 2008
Improved second-order bounds for prediction with expert advice
N Cesa-Bianchi, Y Mansour, G Stoltz
Machine Learning 66, 321-352, 2007
Explore first, exploit next: The true shape of regret in bandit problems
A Garivier, P Ménard, G Stoltz
Mathematics of Operations Research 44 (2), 377-399, 2019
A second-order bound with excess losses
P Gaillard, G Stoltz, T Van Erven
Conference on Learning Theory, 176-196, 2014
A finite-time analysis of multi-armed bandits problems with kullback-leibler divergences
OA Maillard, R Munos, G Stoltz
Proceedings of the 24th annual Conference On Learning Theory, 497-514, 2011
Regret minimization under partial monitoring
N Cesa-Bianchi, G Lugosi, G Stoltz
Mathematics of Operations Research 31 (3), 562-580, 2006
Minimizing regret with label efficient prediction
N Cesa-Bianchi, G Lugosi, G Stoltz
IEEE Transactions on Information Theory 51 (6), 2152-2162, 2005
Forecasting electricity consumption by aggregating specialized experts: A review of the sequential aggregation of specialized experts, with an application to Slovakian and …
M Devaine, P Gaillard, Y Goude, G Stoltz
Machine Learning 90, 231-260, 2013
Learning correlated equilibria in games with compact sets of strategies
G Stoltz, G Lugosi
Games and Economic Behavior 59 (1), 187-208, 2007
Do countries falsify economic data strategically? Some evidence that they might
T Michalski, G Stoltz
Review of Economics and Statistics 95 (2), 591-616, 2013
Internal regret in on-line portfolio selection
G Stoltz, G Lugosi
Machine Learning 59, 125-159, 2005
Mirror descent meets fixed share (and feels no regret)
N Cesa-Bianchi, P Gaillard, G Lugosi, G Stoltz
Advances in Neural Information Processing Systems 25, 2012
Ozone ensemble forecast with machine learning algorithms
V Mallet, G Stoltz, B Mauricette
Journal of Geophysical Research: Atmospheres 114 (D5), 2009
Lipschitz bandits without the lipschitz constant
S Bubeck, G Stoltz, JY Yu
Algorithmic Learning Theory: 22nd International Conference, ALT 2011, Espoo …, 2011
Fundamentals and exchange rate forecastability with simple machine learning methods
C Amat, T Michalski, G Stoltz
Journal of International Money and Finance 88, 1-24, 2018
Incomplete information and internal regret in prediction of individual sequences
G Stoltz
Université Paris Sud-Paris XI, 2005
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