Wouter M. Koolen
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
1452014
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1072010
Second-order quantile methods for experts and combinatorial games
WM Koolen, T Van Erven
Conference on Learning Theory, 1155-1175, 2015
752015
A closer look at adaptive regret
D Adamskiy, WM Koolen, A Chernov, V Vovk
International Conference on Algorithmic Learning Theory, 290-304, 2012
572012
Universal codes from switching strategies
WM Koolen, S de Rooij
IEEE Transactions on Information Theory 59 (11), 7168-7185, 2013
54*2013
Metagrad: Multiple learning rates in online learning
T van Erven, WM Koolen
arXiv preprint arXiv:1604.08740, 2016
492016
Mixture martingales revisited with applications to sequential tests and confidence intervals
E Kaufmann, W Koolen
arXiv preprint arXiv:1811.11419, 2018
392018
Safe testing
P Grünwald, R de Heide, WM Koolen
2020 Information Theory and Applications Workshop (ITA), 1-54, 2020
362020
Maximin action identification: A new bandit framework for games
A Garivier, E Kaufmann, WM Koolen
Conference on Learning Theory, 1028-1050, 2016
332016
Monte-Carlo tree search by best arm identification
E Kaufmann, W Koolen
arXiv preprint arXiv:1706.02986, 2017
322017
Combining adversarial guarantees and stochastic fast rates in online learning
WM Koolen, P Grünwald, T van Erven
arXiv preprint arXiv:1605.06439, 2016
302016
Putting Bayes to sleep.
WM Koolen, D Adamskiy, MK Warmuth
NIPS, 135-143, 2012
302012
Adaptive hedge
T Erven, WM Koolen, S Rooij, P Grünwald
Advances in Neural Information Processing Systems 24, 1656-1664, 2011
282011
Learning the learning rate for prediction with expert advice
W Koolen, T Van Erven, P Grunwald
Advances in Neural Information Processing Systems 27 (NIPS 2014), 2294-2302, 2014
272014
Non-asymptotic pure exploration by solving games
R Degenne, WM Koolen, P Ménard
arXiv preprint arXiv:1906.10431, 2019
212019
Minimax Time Series Prediction.
WM Koolen, A Malek, PL Bartlett, Y Abbasi-Yadkori
NIPS, 2557-2565, 2015
212015
Pure exploration with multiple correct answers
R Degenne, WM Koolen
arXiv preprint arXiv:1902.03475, 2019
202019
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
202016
Sequential test for the lowest mean: From Thompson to Murphy sampling
E Kaufmann, W Koolen, A Garivier
arXiv preprint arXiv:1806.00973, 2018
192018
Minimax fixed-design linear regression
PL Bartlett, WM Koolen, A Malek, E Takimoto, MK Warmuth
Conference on Learning Theory, 226-239, 2015
192015
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Articles 1–20