Peter Grünwald

Peter D. Grünwald, Peter Grunwald

2009
36	EE	Peter Grunwald, Peter Harremoës: Regret and Jeffreys Integrals in Exp. Families CoRR abs/0903.5399: (2009)
2008
35	EE	Peter Grunwald: The Catch-Up Phenomenon in Bayesian Inference. COLT 2008: 1-2
34	EE	Peter Grünwald, Joseph Y. Halpern: A Game-Theoretic Analysis of Updating Sets of Probabilities. UAI 2008: 240-247
33	EE	Tim van Erven, Peter Grünwald, Steven de Rooij: Catching Up Faster by Switching Sooner: A Prequential Solution to the AIC-BIC Dilemma CoRR abs/0807.1005: (2008)
32	EE	Peter Grunwald: Entropy Concentration and the Empirical Coding Game CoRR abs/0809.1017: (2008)
31	EE	Peter D. Grünwald, Paul M. B. Vitányi: Algorithmic information theory CoRR abs/0809.2754: (2008)
2007
30	EE	Tim van Erven, Peter Grunwald, Steven de Rooij: Catching Up Faster in Bayesian Model Selection and Model Averaging. NIPS 2007
29	EE	Peter D. Grünwald, Joseph Y. Halpern: A Game-Theoretic Analysis of Updating Sets of Probabilities CoRR abs/0711.3235: (2007)
28	EE	Peter Grünwald: Christopher S. Wallace Statistical and Inductive Inference by Minimum Message Length. Springer (2005), ISBN 038723795X 432 pp, Hardbound. Comput. J. 50(3): 369-370 (2007)
27	EE	Peter Grünwald, John Langford: Suboptimal behavior of Bayes and MDL in classification under misspecification. Machine Learning 66(2-3): 119-149 (2007)
2005
26		Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri: Generalization to Unseen Cases. BNAIC 2005: 194-201
25	EE	Peter Grünwald, Steven de Rooij: Asymptotic Log-Loss of Prequential Maximum Likelihood Codes. COLT 2005: 652-667
24	EE	Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri: Generalization to Unseen Cases. NIPS 2005
23	EE	Steven de Rooij, Peter Grünwald: An Empirical Study of MDL Model Selection with Infinite Parametric Complexity CoRR abs/cs/0501028: (2005)
22	EE	Peter Grünwald, Steven de Rooij: Asymptotic Log-loss of Prequential Maximum Likelihood Codes CoRR abs/cs/0502004: (2005)
21	EE	Peter D. Grünwald, Joseph Y. Halpern: When Ignorance is Bliss CoRR abs/cs/0510080: (2005)
20	EE	Wim van Dam, Richard D. Gill, Peter Grünwald: The statistical strength of nonlocality proofs. IEEE Transactions on Information Theory 51(8): 2812-2835 (2005)
19	EE	Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri: On Discriminative Bayesian Network Classifiers and Logistic Regression. Machine Learning 59(3): 267-296 (2005)
2004
18	EE	Peter Grünwald, John Langford: Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification. COLT 2004: 331-347
17	EE	Peter Grünwald, Joseph Y. Halpern: When Ignorance is Bliss. UAI 2004: 226-234
16	EE	Peter Grünwald, Paul M. B. Vitányi: Shannon Information and Kolmogorov Complexity CoRR cs.IT/0410002: (2004)
15	EE	Peter Grünwald: A tutorial introduction to the minimum description length principle CoRR math.ST/0406077: (2004)
14	EE	Peter Grünwald, John Langford: Suboptimal behaviour of Bayes and MDL in classification under misspecification CoRR math.ST/0406221: (2004)
2003
13		Peter Grünwald: A Minimum Descriptipn Length Approach to Grammar Inference. ECML Workshop on Learning Contex-Free Grammars 2003
12		Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri: When Discriminative Learning of Bayesian Network Parameters Is Easy. IJCAI 2003: 491-498
11	EE	Peter Grünwald, Joseph Y. Halpern: Updating Probabilities CoRR cs.AI/0306124: (2003)
10	EE	Peter Grünwald, Joseph Y. Halpern: Updating Probabilities. J. Artif. Intell. Res. (JAIR) 19: 243-278 (2003)
9	EE	Peter Grünwald, Paul M. B. Vitányi: Kolmogorov Complexity and Information Theory. With an Interpretation in Terms of Questions and Answers. Journal of Logic, Language and Information 12(4): 497-529 (2003)
2002
8		Peter Grünwald, Joseph Y. Halpern: Updating Probabilities. UAI 2002: 187-196
2001
7	EE	Peter Grünwald: Strong Entropy Concentration, Game Theory, and Algorithmic Randomness. COLT/EuroCOLT 2001: 320-336
2000
6	EE	Peter Grünwald: Maximum Entropy and the Glasses You are Looking Through. UAI 2000: 238-246
1999
5	EE	Peter Grünwald: Viewing all Models as ``Probabilistic''. COLT 1999: 171-182
1998
4		Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald: Bayesian and Information-Theories Priors for Bayesian Network Parameters. ECML 1998: 89-94
3	EE	Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri: Minimum Encoding Approaches for Predictive Modeling. UAI 1998: 183-192
1997
2		Peter Grünwald: Causation and Nonmonotonic Temporal Reasoning. KI 1997: 159-170
1995
1		Peter Grünwald: A minimum description length approach to grammar inference. Learning for Natural Language Processing 1995: 203-216

Coauthor Index

1	Wim van Dam	[20]
2	Tim van Erven	[30] [33]
3	Richard D. Gill	[20]
4	Joseph Y. Halpern	[8] [10] [11] [17] [21] [29] [34]
5	Peter Harremoës	[36]
6	Petri Kontkanen	[3] [4]
7	John Langford	[14] [18] [27]
8	Petri Myllymäki	[3] [4] [12] [19] [24] [26]
9	Steven de Rooij	[22] [23] [25] [30] [33]
10	Teemu Roos	[12] [19] [24] [26]
11	Tomi Silander	[3] [4]
12	Henry Tirri	[3] [4] [12] [19] [24] [26]
13	Paul M. B. Vitányi	[9] [16] [31]
14	Hannes Wettig	[12] [19]

Colors in the list of coauthors