Peter Grünwald
Orcid: 0000-0001-9832-9936Affiliations:
- National Research Institute for Mathematics and Computer Science, Amsterdam, Netherlands
According to our database1,
Peter Grünwald
authored at least 79 papers
between 1995 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
2021
CoRR, 2021
The Safe Logrank Test: Error Control under Optional Stopping, Continuation and Prior Misspecification.
Proceedings of AAAI Symposium on Survival Prediction, 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes.
Proceedings of the Conference on Learning Theory, 2021
2020
J. Mach. Learn. Res., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity.
Proceedings of the Algorithmic Learning Theory, 2019
2018
Optional Stopping with Bayes Factors: a categorization and extension of folklore results, with an application to invariant situations.
CoRR, 2018
2016
IEEE Trans. Inf. Theory, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Proceedings of The 28th Conference on Learning Theory, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
2013
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013
Proceedings of the COLT 2013, 2013
2012
Commentary on "The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators".
Proceedings of the COLT 2012, 2012
Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)
CoRR, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 2012 IEEE Information Theory Workshop, 2012
Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012
2011
Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation.
Proceedings of the COLT 2011, 2011
Proceedings of the COLT 2011, 2011
Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity.
Proceedings of the COLT 2011, 2011
Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration.
J. Artif. Intell. Res., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong.
Proceedings of the IEEE International Symposium on Information Theory, 2010
2009
Finiteness of redundancy, regret, Shtarkov sums, and Jeffreys integrals in exponential families.
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
Catching Up Faster by Switching Sooner: A Prequential Solution to the AIC-BIC Dilemma
CoRR, 2008
Proceedings of the UAI 2008, 2008
Proceedings of the 2008 IEEE Information Theory Workshop, 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
2007
Mach. Learn., 2007
EURASIP J. Bioinform. Syst. Biol., 2007
Christopher S. Wallace <i>Statistical and Inductive Inference by Minimum Message Length.</i> Springer (2005), ISBN 038723795X 432 pp, Hardbound.
Comput. J., 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2005
Mach. Learn., 2005
CoRR, 2005
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Generalization to Unseen Cases.
Proceedings of the BNAIC 2005, 2005
2004
CoRR, 2004
2003
Kolmogorov Complexity and Information Theory. With an Interpretation in Terms of Questions and Answers.
J. Log. Lang. Inf., 2003
Proceedings of the IJCAI-03, 2003
A Minimum Descriptipn Length Approach to Grammar Inference.
Proceedings of the Workshop and Tutorial on Learning Contex-Free Grammars, 2003
2002
Game theory, maximum generalized entropy, minimum discrepancy, robust Bayes and Pythagoras.
Proceedings of the 2002 IEEE Information Theory Workshop, 2002
2001
Proceedings of the Computational Learning Theory, 2001
2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
1999
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999
1998
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998
Proceedings of the Machine Learning: ECML-98, 1998
1997
Proceedings of the KI-97: Advances in Artificial Intelligence, 1997
1995
Proceedings of the Connectionist, 1995