Gilles STOLTZ

Professor (Education Track)

Economics and Decision Sciences

stoltz@hec.fr http://stoltz.perso.math.cnrs.fr/
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Biography

Gilles Stoltz is an alumnus of the Ecole Normale Supérieure of Cachan and holds a Ph.D.from the University Paris-Sud Orsay since 2005.

His research interests focus on the sequential prediction of arbitrary sequences, both from an industrial viewpoint (prediction of electricity consumption or air-quality forecasting) and from a game-theoretic viewpoint (when players aim at forecasting each other's actions).

He is a researcher for CNRS at the GREGHEC laboratory. In addition, he is an affiliate professor at HEC, where he teaches the foundations of statistics in the bachelor programme.

He was awarded in 2008 the Marie-Jeanne Laurent-Duhamel prize of the young statistician by the French statistical society.

 

Personal web page: http://stoltz.perso.math.cnrs.fr/

Scientific articles

Diversity-Preserving K–Armed Bandits, Revisited

Transactions on Machine Learning Research, July 2024, vol. 07, pp 1-28, (in coll. with H. HADIJI, S. GERCHINOVITZ, J.-M. LOUBES)

Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness

Advances in Neural Information Processing Systems, 2023, vol. 36, pp 46737-46772, (in coll. with E. CHZHEN, C. GIRAUD, Z. LI)

Adaptation to the range in K-armed bandits

Journal of Machine Learning Research, 2023, vol. 24, n° 1, pp 450-482, (in coll. with H. HADIJI)

Contextual Bandits with Knapsacks for a Conversion Model

Advances in Neural Information Processing Systems, 2022, vol. 35, (in coll. with Z. LI)

KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints

Journal of Machine Learning Research, 2022, vol. 23, n° 179, pp 1-66, (in coll. with A. GARIVIER, H. HADIJI, P. MENARD)

Explore first, exploite next: the true shape of regret in bandit problems

Mathematics of Operations Research, december, 2 2019, vol. 44, n° 2, pp 377-399, (in coll. with A. GARIVIER, P. MENARD)

Fundamentals and exchange rate forecastability with simple machine learning methods

Journal of International Money and Finance, November 2018, vol. 88, pp 1-24, (in coll. with C. AMAT, T. K. MICHALSKI)

A primal condition for approachability with partial monitoring

Journal of Dynamics and Games, July 2014, vol. 1, n° 3, pp 447-469, (in coll. with S. MANNOR, V. PERCHET)

Set-Valued Approachability and Online Learning with Partial Monitoring

Journal of Machine Learning Research, October 2014, vol. 15, pp 3247-3295, (in coll. with S. MANNOR, V. PERCHET)

Forecasting electricity consumption by aggregating specialized experts

Machine Learning, February 2013, vol. 90, n° 2, pp 231-260, (in coll. with M. DEVAINE, P. GAILLARD, Y. GOUDE)

Books

Exercices d'oral de mathématiques BL - ECE - ECS corrigés et commentés par leurs auteurs

Ellipses (in coll. with S. ARLOT, A. GARIVIER )

Statistique mathématique en action

Vuibert (in coll. with V. Rivoirard )

Statistique mathématique en action

Vuibert (in coll. with V. Rivoirard )

Proceedings

A second-order bound with excess losses

Proceedings of The 27th Conference on Learning Theory , 2014 , 35 (P. GAILLARD, T. VAN ERVEN)

Approachability in unknown games: Online learning meets multi-objective optimization

Proceedings of The 27th Conference on Learning Theory , 2014 , 35 (S. MANNOR, V. PERCHET)

A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences

24th Annual Conference on Learning Theory : COLT11 , 2011 , Budapest (O.-A. Maillard R. Munos)

Lipschitz Bandits without the Lipschitz Constant

ALT 2011 - Proceedings of the 22nd International Conference on Algorithmic Learning Theory , 2011 (S. Bubeck, J. Yu)

Working papers

Forecasting Exchange Rates Better than the Random Walk Thanks to Machine Learning Techniques

Cahier de Recherche du Groupe HEC , 2014

A finite-time analysis of multiarmed bandits problems with Kullback-Leibler divergences

Mimeo , 2011

Robust approachability and regret minimization in games with partial monitoring

Mimeo , 2011

Do countries falsify economic date strategically? Some evidence that they do

Cahier de Recherche du Groupe HEC , 2010

Forecasting the electricity consumption by aggregation of specialized experts ; application to Slovakian and French country-wide hourly predictions

Mimeo , 2010

Scientific articles

Diversity-Preserving K–Armed Bandits, Revisited

Transactions on Machine Learning Research, July 2024, vol. 07, pp 1-28, (in coll. with H. HADIJI, S. GERCHINOVITZ, J.-M. LOUBES)

Adaptation to the range in K-armed bandits

Journal of Machine Learning Research, 2023, vol. 24, n° 1, pp 450-482, (in coll. with H. HADIJI)

Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness

Advances in Neural Information Processing Systems, 2023, vol. 36, pp 46737-46772, (in coll. with E. CHZHEN, C. GIRAUD, Z. LI)

Contextual Bandits with Knapsacks for a Conversion Model

Advances in Neural Information Processing Systems, 2022, vol. 35, (in coll. with Z. LI)

Books

Exercices d'oral de mathématiques BL - ECE - ECS corrigés et commentés par leurs auteurs

Ellipses (in coll. with S. ARLOT, A. GARIVIER )

Statistique mathématique en action

Vuibert (in coll. with V. Rivoirard )

Statistique mathématique en action

Vuibert (in coll. with V. Rivoirard )

Proceedings

A second-order bound with excess losses

Proceedings of The 27th Conference on Learning Theory , 2014 , 35 (P. GAILLARD, T. VAN ERVEN)

Approachability in unknown games: Online learning meets multi-objective optimization

Proceedings of The 27th Conference on Learning Theory , 2014 , 35 (S. MANNOR, V. PERCHET)

A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences

24th Annual Conference on Learning Theory : COLT11 , 2011 , Budapest (O.-A. Maillard R. Munos)

Lipschitz Bandits without the Lipschitz Constant

ALT 2011 - Proceedings of the 22nd International Conference on Algorithmic Learning Theory , 2011 (S. Bubeck, J. Yu)

Working papers

Forecasting Exchange Rates Better than the Random Walk Thanks to Machine Learning Techniques

Cahier de Recherche du Groupe HEC , 2014

A finite-time analysis of multiarmed bandits problems with Kullback-Leibler divergences

Mimeo , 2011

Robust approachability and regret minimization in games with partial monitoring

Mimeo , 2011

Do countries falsify economic date strategically? Some evidence that they do

Cahier de Recherche du Groupe HEC , 2010

Education

  • Habilitation a diriger des recherches en Mathematiques (Qualified Research Supervisor), Université Paris-Sud - France
  • Doctorat en mathematiques (Ph.D. in Mathematics), Université Paris-Sud - France
  • Competitive examination in Mathematics (rank: 30th), _ - France

Academic appointments

Academic Responsibilities at HEC

  • 2024- Professor (Education Track), Economics and Decision Science HEC Paris

Scientific Activities

Conference organisation

  • Co-organizer of the summer school "Stats in the Château", HEC Paris, 2009
  • Co-organizer of "Mathematical Foundations of Learning Theory - II", Ecole normale supérieure, Paris, 2006

    • Awards & honors

    • 2010 Best reviewer award among COLT'10 PC members
    • 2010 CNRS Excellency in research bonus 2010-13
    • 2008 Young statistician award (Marie-Jeanne Laurent-Duhamel Prize)