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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
1812014
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1122010
Second-order quantile methods for experts and combinatorial games
WM Koolen, T Van Erven
Conference on Learning Theory, 1155-1175, 2015
982015
Safe testing
P Grünwald, R de Heide, WM Koolen
2020 Information Theory and Applications Workshop (ITA), 1-54, 2020
852020
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals.
E Kaufmann, WM Koolen
J. Mach. Learn. Res. 22, 246:1-246:44, 2021
702021
Metagrad: Multiple learning rates in online learning
T Van Erven, WM Koolen
Advances in Neural Information Processing Systems 29, 2016
702016
A closer look at adaptive regret
D Adamskiy, WM Koolen, A Chernov, V Vovk
International Conference on Algorithmic Learning Theory, 290-304, 2012
652012
Universal codes from switching strategies
WM Koolen, S de Rooij
IEEE Transactions on Information Theory 59 (11), 7168-7185, 2013
60*2013
Non-asymptotic pure exploration by solving games
R Degenne, WM Koolen, P Ménard
Advances in Neural Information Processing Systems 32, 2019
542019
Adaptive hedge
T Erven, WM Koolen, S Rooij, P Grünwald
Advances in Neural Information Processing Systems 24, 2011
512011
Monte-Carlo tree search by best arm identification
E Kaufmann, WM Koolen
Advances in Neural Information Processing Systems 30, 2017
502017
Pure exploration with multiple correct answers
R Degenne, WM Koolen
Advances in Neural Information Processing Systems 32, 2019
402019
Admissible anytime-valid sequential inference must rely on nonnegative martingales
A Ramdas, J Ruf, M Larsson, W Koolen
arXiv preprint arXiv:2009.03167, 2020
392020
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
372016
Maximin action identification: A new bandit framework for games
A Garivier, E Kaufmann, WM Koolen
Conference on Learning Theory, 1028-1050, 2016
362016
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
342016
Putting Bayes to sleep.
WM Koolen, D Adamskiy, MK Warmuth
NIPS, 135-143, 2012
312012
Learning the learning rate for prediction with expert advice
WM Koolen, T Van Erven, P Grünwald
Advances in neural information processing systems 27, 2014
302014
Lipschitz and comparator-norm adaptivity in online learning
Z Mhammedi, WM Koolen
Conference on Learning Theory, 2858-2887, 2020
262020
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
262018
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