| R\'enyi Divergence and Kullback-Leibler Divergence T Van Erven, P Harremoës IEEE Transactions on Information Theory 60 (7), 3797-3820, 2014 | 824 | 2014 |
| Follow the leader if you can, hedge if you must S de Rooij, T Van Erven, PD Grünwald, WM Koolen Journal of Machine Learning Research 15, 1281-1316, 2014 | 157 | 2014 |
| Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC–BIC dilemma T Erven, P Grünwald, S De Rooij Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012 | 104* | 2012 |
| A second-order bound with excess losses P Gaillard, G Stoltz, T Van Erven Conference on Learning Theory, 176-196, 2014 | 87 | 2014 |
| Second-order quantile methods for experts and combinatorial games WM Koolen, T Van Erven Conference on Learning Theory, 1155-1175, 2015 | 79 | 2015 |
| Fast rates in statistical and online learning T Van Erven, P Grunwald, NA Mehta, M Reid, R Williamson MIT Press, 2015 | 69 | 2015 |
| Rényi divergence and majorization T van Erven, P Harremoës 2010 IEEE International Symposium on Information Theory, 1335-1339, 2010 | 54 | 2010 |
| Metagrad: Multiple learning rates in online learning T van Erven, WM Koolen arXiv preprint arXiv:1604.08740, 2016 | 53 | 2016 |
| Follow the leader with dropout perturbations T Van Erven, W Kotłowski, MK Warmuth Conference on Learning Theory, 949-974, 2014 | 53 | 2014 |
| Catching Up Faster in Bayesian Model Selection and Model Averaging. T Van Erven, P Grunwald, S De Rooij NIPS 20, 417-424, 2007 | 50 | 2007 |
| Game-theoretically optimal reconciliation of contemporaneous hierarchical time series forecasts T Van Erven, J Cugliari Modeling and stochastic learning for forecasting in high dimensions, 297-317, 2015 | 35 | 2015 |
| Combining adversarial guarantees and stochastic fast rates in online learning WM Koolen, P Grünwald, T van Erven Advances in Neural Information Processing Systems 29, 4457-4465, 2016 | 32 | 2016 |
| Adaptive hedge T Erven, WM Koolen, S Rooij, P Grünwald Advances in Neural Information Processing Systems 24, 1656-1664, 2011 | 32 | 2011 |
| 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 | 27 | 2014 |
| Mixability is Bayes Risk Curvature Relative to Log Loss T van Erven, MD Reid, RC Williamson The Journal of Machine Learning Research, 1639-1663, 2012 | 21* | 2012 |
| Mixability in statistical learning T Van Erven, PD Grünwald, MD Reid, RC Williamson Advances in Neural Information Processing Systems 25 (NIPS 2012), 2012 | 19 | 2012 |
| Learning the switching rate by discretising Bernoulli sources online S Rooij, T Erven Artificial Intelligence and Statistics, 432-439, 2009 | 19 | 2009 |
| Pac-bayes mini-tutorial: A continuous union bound T van Erven arXiv preprint arXiv:1405.1580, 2014 | 13 | 2014 |
| Adaptive hedge T Van Erven, P Grünwald, WM Koolen, S De Rooij arXiv preprint arXiv:1110.6416, 2011 | 12 | 2011 |
| The many faces of exponential weights in online learning D Hoeven, T Erven, W Kotłowski Conference On Learning Theory, 2067-2092, 2018 | 11 | 2018 |
Wouter M. KoolenCentrum Wiskunde & InformaticaVerified email at cwi.nl
