Peter Grünwald
Peter Grünwald
Group Leader Machine Learning, CWI; Professor of Statistics, Leiden University
Verified email at cwi.nl - Homepage
Title
Cited by
Cited by
Year
The minimum description length principle
PD Grünwald
The MIT Press, 2007
15282007
A tutorial introduction to the minimum description length principle
P Grunwald
arXiv preprint math/0406077, 2004
5312004
Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
PD Grünwald, AP Dawid
Annals of statistics 32 (4), 1367-1433, 2004
4502004
Advances in Minimum Description Length: Theory and Applications
PD Grünwald, J Myung, MA Pitt
Advances in Minimum Description Length: Theory and Applications, 2005
4222005
Model selection based on minimum description length
P Grünwald
Journal of mathematical psychology 44 (1), 133-152, 2000
1962000
Shannon information and Kolmogorov complexity
P Grunwald, P Vitányi
arXiv preprint cs/0410002, 2004
1642004
The minimum description length principle and reasoning under uncertainty
PD Grünwald
Ph.D. thesis, University of Amsterdam, 1998
1591998
On discriminative Bayesian network classifiers and logistic regression
T Roos, H Wettig, P Grünwald, P Myllymäki, H Tirri
Machine Learning 59 (3), 267-296, 2005
1452005
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 (JMLR) 15, 1281-1315, 2013
1372013
A minimum description length approach to grammar inference
P Grünwald
International Joint Conference on Artificial Intelligence, 203-216, 1995
1371995
Kolmogorov complexity and information theory. With an interpretation in terms of questions and answers
PD Grünwald, PMB Vitányi
Journal of Logic, Language and Information 12 (4), 497-529, 2003
1122003
Accumulative prediction error and the selection of time series models
EJ Wagenmakers, P Grünwald, M Steyvers
Journal of Mathematical Psychology 50 (2), 149-166, 2006
1102006
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
P Grünwald, T Van Ommen
Bayesian Analysis 12 (4), 1069-1103, 2017
1092017
Updating probabilities
P Grünwald, JY Halpern
J. Artif. Intell. Res.(JAIR) 19, 243-278, 2003
842003
Catching Up Faster by Switching Sooner: A predictive approach to adaptive estimation with an application to the AIC-BIC Dilemma
T van Erven, P Grünwald, S de Rooij
Journal of the Royal Statistical Society, Series B, 2011
83*2011
Suboptimal behavior of Bayes and MDL in classification under misspecification
P Grünwald, J Langford
Machine Learning 66 (2-3), 119-149, 2007
83*2007
The statistical strength of nonlocality proofs
W Van Dam, RD Gill, PD Grunwald
IEEE transactions on information theory 51 (8), 2812-2835, 2005
832005
The safe bayesian
P Grünwald
International Conference on Algorithmic Learning Theory, 169-183, 2012
772012
Comparing predictive inference methods for discrete domains
P Kontkanen, P Myllymäki, T Silander, H Tirri, P Grunwald
In Proceedings of the sixth international workshop on artificial …, 1997
631997
Fast rates in statistical and online learning
T Van Erven, P Grunwald, NA Mehta, M Reid, R Williamson
MIT Press, 2015
622015
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