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Wouter M. Koolen
Title
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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
2102014
Safe testing
P Grünwald, R de Heide, WM Koolen
2020 Information Theory and Applications Workshop (ITA), 1-54, 2020
1752020
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1252010
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
1122021
Second-order quantile methods for experts and combinatorial games
WM Koolen, T Van Erven
Conference on Learning Theory, 1155-1175, 2015
1122015
Metagrad: Multiple learning rates in online learning
T Van Erven, WM Koolen
Advances in Neural Information Processing Systems 29, 2016
982016
Admissible anytime-valid sequential inference must rely on nonnegative martingales
A Ramdas, J Ruf, M Larsson, W Koolen
arXiv preprint arXiv:2009.03167, 2020
882020
Non-asymptotic pure exploration by solving games
R Degenne, WM Koolen, P Ménard
Advances in Neural Information Processing Systems 32, 2019
872019
Pure exploration with multiple correct answers
R Degenne, WM Koolen
Advances in Neural Information Processing Systems 32, 2019
702019
A closer look at adaptive regret
D Adamskiy, WM Koolen, A Chernov, V Vovk
Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012
692012
Universal codes from switching strategies
WM Koolen, S de Rooij
IEEE Transactions on Information Theory 59 (11), 7168-7185, 2013
66*2013
Adaptive hedge
T Erven, WM Koolen, S Rooij, P Grünwald
Advances in Neural Information Processing Systems 24, 2011
572011
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
542022
Lipschitz and comparator-norm adaptivity in online learning
Z Mhammedi, WM Koolen
Conference on Learning Theory, 2858-2887, 2020
532020
Monte-Carlo tree search by best arm identification
E Kaufmann, WM Koolen
Advances in Neural Information Processing Systems 30, 2017
512017
A closer look at adaptive regret
D Adamskiy, WM Koolen, A Chernov, V Vovk
Journal of Machine Learning Research 17 (23), 1-21, 2016
492016
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
452016
Maximin action identification: A new bandit framework for games
A Garivier, E Kaufmann, WM Koolen
Conference on Learning Theory, 1028-1050, 2016
352016
Structure adaptive algorithms for stochastic bandits
R Degenne, H Shao, W Koolen
International Conference on Machine Learning, 2443-2452, 2020
342020
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
342018
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