Peter Grünwald

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	전체	2020년 이후
서지정보	9231	3876
h-index	42	31
i10-index	85	56

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Wouter M. KoolenCentrum Wiskunde & Informatica; University of Twentecwi.nl의 이메일 확인됨
Tim van ErvenAssociate professor at the University of Amsterdam, the Netherlandsuva.nl의 이메일 확인됨
Petri MyllymakiProfessor of Computer Science, University of Helsinkihelsinki.fi의 이메일 확인됨
Teemu RoosProfessor at University of Helsinkihelsinki.fi의 이메일 확인됨
Rianne de HeideAssistant professor, Department of Applied Mathematics, University of Twenteutwente.nl의 이메일 확인됨
Nishant A. MehtaAssistant Professor, University of Victoriauvic.ca의 이메일 확인됨
Alexander LyCentrum Wiskunde & Informaticacwi.nl의 이메일 확인됨
Thijs van OmmenAssistant Professor at Utrecht Universityuu.nl의 이메일 확인됨
Judith ter SchureAmsterdam UMCamsterdamumc.nl의 이메일 확인됨
Mark PittProfessor, Ohio State Universityosu.edu의 이메일 확인됨
Paul VitanyiCWI and University of Amsterdamcwi.nl의 이메일 확인됨
Joseph HalpernProfessor of Computer Science, Cornell Universitycs.cornell.edu의 이메일 확인됨
Philip DawidEmeritus Professor of Statistics, University of Cambridgestatslab.cam.ac.uk의 이메일 확인됨
Wojciech KotłowskiPoznan University of Technologycs.put.poznan.pl의 이메일 확인됨
Eric-Jan WagenmakersUniversity of Amsterdamuva.nl의 이메일 확인됨
Peter HarremoesLektor i matematik, Niels Brockniels.brock.dk의 이메일 확인됨
Richard D. GillEmeritus professor of Mathematical Statistics, Leiden Universitymath.leidenuniv.nl의 이메일 확인됨
Glenn ShaferProfessor, Rutgers Universitybusiness.rutgers.edu의 이메일 확인됨
Aaditya RamdasAssociate Professor (with tenure), Carnegie Mellon Universitystat.cmu.edu의 이메일 확인됨
Jay MyungProfessor, Department of Psychology, Ohio State Universityosu.edu의 이메일 확인됨

팔로우

Peter Grünwald

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

cwi.nl의 이메일 확인됨 - 홈페이지

machine learning statistics information theory foundations of statistics e-values


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
The minimum description length principle PD Grünwald The MIT Press, 2007	2108	2007
A tutorial introduction to the minimum description length principle P Grunwald Advances in Minimum Description Length - Theory and Methods, 2005	656*	2005
Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory PD Grünwald, AP Dawid	613	2004
Advances in Minimum Description Length: Theory and Applications PD Grünwald, J Myung, MA Pitt Advances in Minimum Description Length: Theory and Applications, 2005	514	2005
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it P Grünwald, T Van Ommen	326	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	229	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	227	2014
Safe testing P Grünwald, R de Heide, WM Koolen arXiv preprint arxiv:1906.07801, 2020	222	2020
The safe Bayesian P Grünwald International Conference on Algorithmic Learning Theory, 169-183, 2012	181	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	167	2005
The minimum description length principle and reasoning under uncertainty PD Grünwald Ph.D. thesis, University of Amsterdam, 1998	162	1998
Game-theoretic statistics and safe anytime-valid inference A Ramdas, P Grünwald, V Vovk, G Shafer Statistical Science 38 (4), 576-601, 2023	154	2023
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
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	139*	2020
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 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	123	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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