Tim van Erven
Tim van Erven
Assistant professor at Leiden University, the Netherlands
Geverifieerd e-mailadres voor math.leidenuniv.nl - Homepage
TitelGeciteerd doorJaar
R\'enyi Divergence and Kullback-Leibler Divergence
T Van Erven, P Harremoës
IEEE Transactions on Information Theory 60 (7), 3797-3820, 2014
4952014
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
1032014
Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC-BIC dilemma [with Discussion]
T Van Erven, P Grünwald, S De Rooij
Journal of the Royal Statistical Society. Series B (Statistical Methodology …, 2012
642012
Second-order quantile methods for experts and combinatorial games
WM Koolen, T Van Erven
Conference on Learning Theory, 1155-1175, 2015
592015
A second-order bound with excess losses
P Gaillard, G Stoltz, T Van Erven
Conference on Learning Theory, 176-196, 2014
572014
Fast rates in statistical and online learning
T Van Erven, P Grunwald, NA Mehta, M Reid, R Williamson
MIT Press, 2015
452015
Rényi divergence and majorization
T van Erven, P Harremoës
2010 IEEE International Symposium on Information Theory, 1335-1339, 2010
442010
Follow the leader with dropout perturbations
T Van Erven, W Kotłowski, MK Warmuth
Conference on Learning Theory, 949-974, 2014
432014
Catching up faster in Bayesian model selection and model averaging
TV Erven, SD Rooij, P Grünwald
Advances in Neural Information Processing Systems, 417-424, 2008
432008
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
34*2012
Adaptive hedge
TV Erven, WM Koolen, SD Rooij, P Grünwald
Advances in Neural Information Processing Systems, 1656-1664, 2011
322011
Metagrad: Multiple learning rates in online learning
T van Erven, WM Koolen
Advances in Neural Information Processing Systems, 3666-3674, 2016
312016
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
192012
Combining adversarial guarantees and stochastic fast rates in online learning
WM Koolen, P Grünwald, T van Erven
Advances in Neural Information Processing Systems, 4457-4465, 2016
182016
Learning the learning rate for prediction with expert advice
WM Koolen, T Van Erven, P Grünwald
Advances in neural information processing systems, 2294-2302, 2014
182014
Learning the Switching Rate by Discretising Bernoulli Sources Online.
S de Rooij, T van Erven
AISTATS, 432-439, 2009
182009
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
172015
Mixability in statistical learning
TV Erven, P Grünwald, MD Reid, RC Williamson
Advances in Neural Information Processing Systems, 1691-1699, 2012
132012
When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
TAL van Erven
Mathematical Institute, Faculty of Science, Leiden, 2010
112010
Pac-bayes mini-tutorial: A continuous union bound
T van Erven
arXiv preprint arXiv:1405.1580, 2014
62014
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Artikelen 1–20