Peter Grünwald

Peter D. Grünwald, Peter Grunwald

	2012
48		Peter Grunwald, Peter Spirtes: Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010) CoRR abs/1205.2597: (2012)
	2011
47		Tim van Erven, Peter Grunwald, Wouter M. Koolen, Steven de Rooij: Adaptive Hedge. NIPS 2011: 1656-1664
46		Peter D. Grünwald, Joseph Y. Halpern: Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration. J. Artif. Intell. Res. (JAIR) 42: 393-426 (2011)
45		Peter Grünwald, John Smith Jones, Jane de Winter, Élouise Smith: Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity. Journal of Machine Learning Research - Proceedings Track 19: 397-420 (2011)
44		Wojciech Kotlowski, Peter Grünwald: Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation. Journal of Machine Learning Research - Proceedings Track 19: 457-476 (2011)
43		Peter D. Grünwald, Wojciech Kotlowski: Bounds on Individual Risk for Log-loss Predictors. Journal of Machine Learning Research - Proceedings Track 19: 813-816 (2011)
	2010
42		Peter Grünwald, Peter Spirtes: UAI 2010, Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, July 8-11, 2010 AUAI Press 2010
41		Wojciech Kotlowski, Peter Grünwald, Steven de Rooij: Following the Flattened Leader. COLT 2010: 106-118
40		Peter Grunwald, Wojciech Kotlowski: Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong. ISIT 2010: 1383-1387
39		Peter Grünwald, Wojciech Kotlowski: Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong CoRR abs/1002.0757: (2010)
	2009
38		Peter Grünwald, Peter Harremoës: Finiteness of redundancy, regret, Shtarkov sums, and Jeffreys integrals in exponential families. ISIT 2009: 714-718
37		Peter Grunwald, Peter Harremoës: Regret and Jeffreys Integrals in Exp. Families CoRR abs/0903.5399: (2009)
	2008
36		Peter Grunwald: The Catch-Up Phenomenon in Bayesian Inference. COLT 2008: 1-2
35		Peter Grünwald, Joseph Y. Halpern: A Game-Theoretic Analysis of Updating Sets of Probabilities. UAI 2008: 240-247
34		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)
33		Peter Grunwald: Entropy Concentration and the Empirical Coding Game CoRR abs/0809.1017: (2008)
32		Peter D. Grünwald, Paul M. B. Vitányi: Algorithmic information theory CoRR abs/0809.2754: (2008)
	2007
31		Tim van Erven, Peter Grunwald, Steven de Rooij: Catching Up Faster in Bayesian Model Selection and Model Averaging. NIPS 2007
30		Peter D. Grünwald, Joseph Y. Halpern: A Game-Theoretic Analysis of Updating Sets of Probabilities CoRR abs/0711.3235: (2007)
29		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)
28		Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu: Information Theoretic Methods for Bioinformatics. EURASIP J. Bioinformatics and Systems Biology 2007: (2007)
27		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		Peter Grünwald, Steven de Rooij: Asymptotic Log-Loss of Prequential Maximum Likelihood Codes. COLT 2005: 652-667
24		Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri: Generalization to Unseen Cases. NIPS 2005
23		Steven de Rooij, Peter Grünwald: An Empirical Study of MDL Model Selection with Infinite Parametric Complexity CoRR abs/cs/0501028: (2005)
22		Peter Grünwald, Steven de Rooij: Asymptotic Log-loss of Prequential Maximum Likelihood Codes CoRR abs/cs/0502004: (2005)
21		Peter D. Grünwald, Joseph Y. Halpern: When Ignorance is Bliss CoRR abs/cs/0510080: (2005)
20		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		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		Peter Grünwald, John Langford: Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification. COLT 2004: 331-347
17		Peter Grünwald, Joseph Y. Halpern: When Ignorance is Bliss. UAI 2004: 226-234
16		Peter Grünwald, Paul M. B. Vitányi: Shannon Information and Kolmogorov Complexity CoRR cs.IT/0410002: (2004)
15		Peter Grünwald: A tutorial introduction to the minimum description length principle CoRR math.ST/0406077: (2004)
14		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		Peter Grünwald, Joseph Y. Halpern: Updating Probabilities CoRR cs.AI/0306124: (2003)
10		Peter Grünwald, Joseph Y. Halpern: Updating Probabilities. J. Artif. Intell. Res. (JAIR) 19: 243-278 (2003)
9		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		Peter Grünwald: Strong Entropy Concentration, Game Theory, and Algorithmic Randomness. COLT/EuroCOLT 2001: 320-336
	2000
6		Peter Grünwald: Maximum Entropy and the Glasses You are Looking Through. UAI 2000: 238-246
	1999
5		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		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	[31] [34] [47]
3	Richard D. Gill	[20]
4	Joseph Y. Halpern	[8] [10] [11] [17] [21] [30] [35] [46]
5	Peter Harremoës	[37] [38]
6	Jukka Heikkonen	[28]
7	John Smith Jones	[45]
8	Petri Kontkanen	[3] [4]
9	Wouter M. Koolen	[47]
10	Wojciech Kotlowski	[39] [40] [41] [43] [44]
11	John Langford	[14] [18] [27]
12	Petri Myllymäki	[3] [4] [12] [19] [24] [26] [28]
13	Jorma Rissanen	[28]
14	Steven de Rooij	[22] [23] [25] [31] [34] [41] [47]
15	Teemu Roos	[12] [19] [24] [26] [28]
16	Juho Rousu	[28]
17	Tomi Silander	[3] [4]
18	Élouise Smith	[45]
19	Peter Spirtes	[42] [48]
20	Henry Tirri	[3] [4] [12] [19] [24] [26]
21	Paul M. B. Vitányi	[9] [16] [32]
22	Hannes Wettig	[12] [19]
23	Jane de Winter	[45]

Colors in the list of coauthors

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