Wouter M. Koolen

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Citations	2275	1734
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i10-index	40	34

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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
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
Alan MalekMITVerified email at mit.edu
Vladimir VovkDepartment of Computer Science, Royal Holloway, University of LondonVerified email at rhul.ac.uk
Rémy DegenneInria LilleVerified email at inria.fr
Aurélien GarivierEcole Normale Supérieure de LyonVerified email at ens-lyon.fr
Wojciech KotłowskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Rianne de HeideAssistant professor, Mathematics department, Vrije Universiteit AmsterdamVerified email at utwente.nl
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Alexey ChernovLecturer in Statistics, University of BrightonVerified email at rhul.ac.uk
Sandeep JunejaTata Institute of Fundamental ResearchVerified email at tifr.res.in
Shubhada AgrawalCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Zakaria MhammediMassachusetts Institute of TechnologyVerified email at mit.edu
Jyrki KivinenProfessor of Computer Science, University of HelsinkiVerified email at cs.helsinki.fi
Dirk van der HoevenLeiden UniversityVerified email at dirkvanderhoeven.com
Pierre MénardOvGU MagdeburgVerified email at inria.fr

Wouter M. Koolen

Centrum Wiskunde & Informatica; University of Twente

Verified email at cwi.nl - Homepage

Machine Learning Online Learning Game Tree Search Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	220	2014
Safe testing P Grünwald, R de Heide, WM Koolen 2020 Information Theory and Applications Workshop (ITA), 1-54, 2020	202	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	123	2021
Second-order quantile methods for experts and combinatorial games WM Koolen, T Van Erven Conference on Learning Theory, 1155-1175, 2015	114	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	103	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	96	2019
Pure exploration with multiple correct answers R Degenne, WM Koolen Advances in Neural Information Processing Systems 32, 2019	76	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	60	2011
Lipschitz and comparator-norm adaptivity in online learning Z Mhammedi, WM Koolen Conference on Learning Theory, 2858-2887, 2020	54	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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