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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
17972007
A tutorial introduction to the minimum description length principle
P Grunwald
Advances in Minimum Description Length - Theory and Methods, 2005
572*2005
Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
PD Grünwald, AP Dawid
5262004
Advances in Minimum Description Length: Theory and Applications
PD Grünwald, J Myung, MA Pitt
Advances in Minimum Description Length: Theory and Applications, 2005
4722005
Model selection based on minimum description length
P Grünwald
Journal of mathematical psychology 44 (1), 133-152, 2000
2122000
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
P Grünwald, T Van Ommen
2072017
Shannon information and Kolmogorov complexity
P Grunwald, P Vitányi
arXiv preprint cs/0410002, 2004
1992004
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
1862013
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, 2005
1522005
A minimum description length approach to grammar inference
P Grünwald
Connectionist, Statistical and Symbolic Approaches to Learning for Natural …, 1996
1481996
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
1322003
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
1192006
The safe Bayesian
P Grünwald
International Conference on Algorithmic Learning Theory, 169-183, 2012
113*2012
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
922012
The statistical strength of nonlocality proofs
W Van Dam, RD Gill, PD Grunwald
IEEE transactions on information theory 51 (8), 2812-2835, 2005
892005
Safe testing
P Grünwald, R de Heide, WM Koolen
arXiv preprint arxiv:1906.07801, 2020
882020
Fast rates in statistical and online learning
T Van Erven, P Grunwald, NA Mehta, M Reid, R Williamson
Journal of Machine Learning Research 16, 1793-1861, 2015
832015
Updating probabilities
P Grünwald, JY Halpern
J. Artif. Intell. Res.(JAIR) 19, 243-278, 2003
832003
Fast rates for general unbounded loss functions: from ERM to generalized Bayes
PD Grünwald, NA Mehta
The Journal of Machine Learning Research 21 (1), 2040-2119, 2020
79*2020
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