Peter Grünwald

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33 件の論文

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共著者

Wouter M. KoolenCentrum Wiskunde & Informatica; University of Twente確認したメールアドレス: cwi.nl
Tim van ErvenAssociate professor at the University of Amsterdam, the Netherlands確認したメールアドレス: uva.nl
Petri MyllymakiProfessor of Computer Science, University of Helsinki確認したメールアドレス: helsinki.fi
Teemu RoosProfessor at University of Helsinki確認したメールアドレス: helsinki.fi
Rianne de HeideAssistant professor, Mathematics department, Vrije Universiteit Amsterdam確認したメールアドレス: utwente.nl
Alexander LyCentrum Wiskunde & Informatica確認したメールアドレス: cwi.nl
Nishant A. MehtaAssistant Professor, University of Victoria確認したメールアドレス: uvic.ca
Thijs van OmmenAssistant Professor at Utrecht University確認したメールアドレス: uu.nl
Judith ter SchureAmsterdam UMC確認したメールアドレス: amsterdamumc.nl
Mark PittProfessor, Ohio State University確認したメールアドレス: osu.edu
Paul VitanyiCWI and University of Amsterdam確認したメールアドレス: cwi.nl
Joseph HalpernProfessor of Computer Science, Cornell University確認したメールアドレス: cs.cornell.edu
Philip DawidEmeritus Professor of Statistics, University of Cambridge確認したメールアドレス: statslab.cam.ac.uk
Wojciech KotłowskiPoznan University of Technology確認したメールアドレス: cs.put.poznan.pl
Richard D. GillEmeritus professor of Mathematical Statistics, Leiden University確認したメールアドレス: math.leidenuniv.nl
Peter HarremoesLektor i matematik, Niels Brock確認したメールアドレス: niels.brock.dk
Glenn ShaferProfessor, Rutgers University確認したメールアドレス: business.rutgers.edu
Jay MyungProfessor, Department of Psychology, Ohio State University確認したメールアドレス: osu.edu
Eric-Jan WagenmakersUniversity of Amsterdam確認したメールアドレス: uva.nl
Muriel F. Pérez-OrtizEindhoven University of Technology (TU/e)確認したメールアドレス: tue.nl

フォロー

Peter Grünwald

Group Leader Machine Learning, CWI; Professor of Statistics, Leiden University

確認したメールアドレス: cwi.nl - ホームページ

machine learning statistics information theory foundations of statistics e-values


タイトル引用回数順公開年順タイトル順	引用先引用先	年
The minimum description length principle PD Grünwald The MIT Press, 2007	2060	2007
A tutorial introduction to the minimum description length principle P Grunwald Advances in Minimum Description Length - Theory and Methods, 2005	653*	2005
Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory PD Grünwald, AP Dawid	606	2004
Advances in Minimum Description Length: Theory and Applications PD Grünwald, J Myung, MA Pitt Advances in Minimum Description Length: Theory and Applications, 2005	510	2005
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it P Grünwald, T Van Ommen	314	2017
Shannon information and Kolmogorov complexity P Grunwald, P Vitányi arXiv preprint cs/0410002, 2004	230	2004
Model selection based on minimum description length P Grünwald Journal of mathematical psychology 44 (1), 133-152, 2000	228	2000
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, 2014	223	2014
Safe testing P Grünwald, R de Heide, WM Koolen arXiv preprint arxiv:1906.07801, 2020	209	2020
The safe Bayesian P Grünwald International Conference on Algorithmic Learning Theory, 169-183, 2012	176	2012
On discriminative Bayesian network classifiers and logistic regression T Roos, H Wettig, P Grünwald, P Myllymäki, H Tirri Machine Learning 59, 267-296, 2005	166	2005
The minimum description length principle and reasoning under uncertainty PD Grünwald Ph.D. thesis, University of Amsterdam, 1998	162	1998
A minimum description length approach to grammar inference P Grünwald International joint conference on artificial intelligence, 203-216, 1995	152	1995
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	145	2003
Game-theoretic statistics and safe anytime-valid inference A Ramdas, P Grünwald, V Vovk, G Shafer Statistical Science 38 (4), 576-601, 2023	140	2023
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	133	2006
Fast rates for general unbounded loss functions: from ERM to generalized Bayes PD Grünwald, NA Mehta Journal of Machine Learning Research 21 (56), 1-80, 2020	132*	2020
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	118	2015
Suboptimal behavior of Bayes and MDL in classification under misspecification P Grünwald, J Langford Machine Learning 66, 119-149, 2007	100*	2007
The statistical strength of nonlocality proofs W Van Dam, RD Gill, PD Grunwald IEEE transactions on information theory 51 (8), 2812-2835, 2005	100	2005

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