Wouter M. Koolen

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	Toutes	Depuis 2019
Citations	2263	1722
indice h	27	23
indice i10	40	34

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Coauteurs

Tim van ErvenAssociate professor at the University of Amsterdam, the NetherlandsAdresse e-mail validée de uva.nl
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityAdresse e-mail validée de cwi.nl
Manfred K. Warmuthvisiting Google BrainAdresse e-mail validée de google.com
Johannes RufLondon School of EconomicsAdresse e-mail validée de lse.ac.uk
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityAdresse e-mail validée de stat.cmu.edu
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Adresse e-mail validée de inria.fr
Alan MalekMITAdresse e-mail validée de mit.edu
Vladimir VovkDepartment of Computer Science, Royal Holloway, University of LondonAdresse e-mail validée de rhul.ac.uk
Rémy DegenneInria LilleAdresse e-mail validée de inria.fr
Aurélien GarivierEcole Normale Supérieure de LyonAdresse e-mail validée de ens-lyon.fr
Wojciech KotłowskiPoznan University of TechnologyAdresse e-mail validée de cs.put.poznan.pl
Rianne de HeideAssistant professor, Mathematics department, Vrije Universiteit AmsterdamAdresse e-mail validée de utwente.nl
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Alexey ChernovLecturer in Statistics, University of BrightonAdresse e-mail validée de rhul.ac.uk
Sandeep JunejaTata Institute of Fundamental ResearchAdresse e-mail validée de tifr.res.in
Shubhada AgrawalCarnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Zakaria MhammediMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Jyrki KivinenProfessor of Computer Science, University of HelsinkiAdresse e-mail validée de cs.helsinki.fi
Dirk van der HoevenLeiden UniversityAdresse e-mail validée de dirkvanderhoeven.com
Pierre MénardOvGU MagdeburgAdresse e-mail validée de inria.fr

Suivre

Wouter M. Koolen

Centrum Wiskunde & Informatica; University of Twente

Adresse e-mail validée de cwi.nl - Page d'accueil

Machine Learning Online Learning Game Tree Search Learning Theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Follow the leader if you can, hedge if you must S De Rooij, T Van Erven, PD Grünwald, WM Koolen The Journal of Machine Learning Research 15 (1), 1281-1316, 2014	219	2014
Safe testing P Grünwald, R de Heide, WM Koolen 2020 Information Theory and Applications Workshop (ITA), 1-54, 2020	199	2020
Hedging Structured Concepts. WM Koolen, MK Warmuth, J Kivinen COLT, 93-105, 2010	130	2010
Mixture martingales revisited with applications to sequential tests and confidence intervals E Kaufmann, WM Koolen Journal of Machine Learning Research 22 (246), 1-44, 2021	122	2021
Second-order quantile methods for experts and combinatorial games WM Koolen, T Van Erven Conference on Learning Theory, 1155-1175, 2015	113	2015
Admissible anytime-valid sequential inference must rely on nonnegative martingales A Ramdas, J Ruf, M Larsson, W Koolen arXiv preprint arXiv:2009.03167, 2020	104	2020
Metagrad: Multiple learning rates in online learning T Van Erven, WM Koolen Advances in Neural Information Processing Systems 29, 2016	100	2016
Non-asymptotic pure exploration by solving games R Degenne, WM Koolen, P Ménard Advances in Neural Information Processing Systems 32, 2019	94	2019
Pure exploration with multiple correct answers R Degenne, WM Koolen Advances in Neural Information Processing Systems 32, 2019	75	2019
A closer look at adaptive regret D Adamskiy, WM Koolen, A Chernov, V Vovk Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012	69	2012
Universal codes from switching strategies WM Koolen, S de Rooij IEEE Transactions on Information Theory 59 (11), 7168-7185, 2013	67*	2013
Testing exchangeability: Fork-convexity, supermartingales and e-processes A Ramdas, J Ruf, M Larsson, WM Koolen International Journal of Approximate Reasoning 141, 83-109, 2022	62	2022
Adaptive hedge T Erven, WM Koolen, S Rooij, P Grünwald Advances in Neural Information Processing Systems 24, 2011	59	2011
Lipschitz and comparator-norm adaptivity in online learning Z Mhammedi, WM Koolen Conference on Learning Theory, 2858-2887, 2020	53	2020
Monte-Carlo tree search by best arm identification E Kaufmann, WM Koolen Advances in Neural Information Processing Systems 30, 2017	53	2017
A closer look at adaptive regret D Adamskiy, WM Koolen, A Chernov, V Vovk Journal of Machine Learning Research 17 (23), 1-21, 2016	49	2016
Combining adversarial guarantees and stochastic fast rates in online learning WM Koolen, P Grünwald, T Van Erven Advances in Neural Information Processing Systems 29, 2016	45	2016
Structure adaptive algorithms for stochastic bandits R Degenne, H Shao, W Koolen International Conference on Machine Learning, 2443-2452, 2020	39	2020
Sequential test for the lowest mean: From Thompson to Murphy sampling E Kaufmann, WM Koolen, A Garivier Advances in Neural Information Processing Systems 31, 2018	35	2018
Maximin action identification: A new bandit framework for games A Garivier, E Kaufmann, WM Koolen Conference on Learning Theory, 1028-1050, 2016	35	2016

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