Wouter M. Koolen

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Citations	1934	1497
h-index	25	21
i10-index	40	37

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Co-authors

Tim van ErvenAssociate professor at the University of Amsterdam, the NetherlandsVerified email at uva.nl
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
Manfred K. Warmuthvisiting Google BrainVerified email at google.com
Johannes RufLondon School of EconomicsVerified email at lse.ac.uk
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
Alan MalekMITVerified email at mit.edu
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Vladimir VovkDepartment of Computer Science, Royal Holloway, University of LondonVerified email at rhul.ac.uk
Rémy DegenneInria LilleVerified email at inria.fr
Wojciech KotłowskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Aurélien GarivierEcole Normale Supérieure de LyonVerified email at ens-lyon.fr
Jyrki KivinenProfessor of Computer Science, University of HelsinkiVerified email at cs.helsinki.fi
Alexey ChernovLecturer in Statistics, University of BrightonVerified email at rhul.ac.uk
Sandeep JunejaTata Institute of Fundamental ResearchVerified email at tifr.res.in
Shubhada AgrawalGeorgia Institute of TechnologyVerified email at gatech.edu
Zakaria MhammediMassachusetts Institute of TechnologyVerified email at mit.edu
Rianne de HeideAssistant professor, Mathematics department, Vrije Universiteit AmsterdamVerified email at vu.nl
Pierre MénardOvGU MagdeburgVerified email at inria.fr
Dirk van der HoevenUniversity of AmsterdamVerified email at dirkvanderhoeven.com

Wouter M. Koolen

Centrum Wiskunde & Informatica; University of Twente

Verified email at cwi.nl - Homepage

Machine Learning Online Learning Game Tree Search Learning Theory


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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	200	2014
Safe testing P Grünwald, R de Heide, WM Koolen 2020 Information Theory and Applications Workshop (ITA), 1-54, 2020	127	2020
Hedging Structured Concepts. WM Koolen, MK Warmuth, J Kivinen COLT, 93-105, 2010	122	2010
Second-order quantile methods for experts and combinatorial games WM Koolen, T Van Erven Conference on Learning Theory, 1155-1175, 2015	112	2015
Mixture martingales revisited with applications to sequential tests and confidence intervals E Kaufmann, WM Koolen The Journal of Machine Learning Research 22 (1), 11140-11183, 2021	101	2021
Metagrad: Multiple learning rates in online learning T Van Erven, WM Koolen Advances in Neural Information Processing Systems 29, 2016	89	2016
Non-asymptotic pure exploration by solving games R Degenne, WM Koolen, P Ménard Advances in Neural Information Processing Systems 32, 2019	77	2019
Admissible anytime-valid sequential inference must rely on nonnegative martingales A Ramdas, J Ruf, M Larsson, W Koolen arXiv preprint arXiv:2009.03167, 2020	71	2020
A closer look at adaptive regret D Adamskiy, WM Koolen, A Chernov, V Vovk Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012	68	2012
Universal codes from switching strategies WM Koolen, S de Rooij IEEE Transactions on Information Theory 59 (11), 7168-7185, 2013	65*	2013
Pure exploration with multiple correct answers R Degenne, WM Koolen Advances in Neural Information Processing Systems 32, 2019	64	2019
Adaptive hedge T Erven, WM Koolen, S Rooij, P Grünwald Advances in Neural Information Processing Systems 24, 2011	54	2011
Monte-Carlo tree search by best arm identification E Kaufmann, WM Koolen Advances in Neural Information Processing Systems 30, 2017	50	2017
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	47	2016
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	43	2022
A closer look at adaptive regret D Adamskiy, WM Koolen, A Chernov, V Vovk The Journal of Machine Learning Research 17 (1), 706-726, 2016	41	2016
Lipschitz and comparator-norm adaptivity in online learning Z Mhammedi, WM Koolen Conference on Learning Theory, 2858-2887, 2020	38	2020
Maximin action identification: A new bandit framework for games A Garivier, E Kaufmann, WM Koolen Conference on Learning Theory, 1028-1050, 2016	35	2016
Putting Bayes to sleep. WM Koolen, D Adamskiy, MK Warmuth NIPS, 135-143, 2012	35	2012
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	33	2018

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