PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Peter Grünwald

Click here to see user's record.

Number of EPrints submitted by this user: 39

When ignorance is bliss
Peter Grünwald and Joe Halpern
In: UAI 2004, 9-14 July 2004, Banff, Canada.

A Tutorial Introduction to the Minimum Description Length Principle
Peter Grünwald
In: Advances in Minimum Description Length: Theory and Applications (2005) MIT Press , Cambridge, MA, USA .

Suboptimal behaviour of Bayes and MDL in classification under misspecification
Peter Grünwald and John Langford
In: Seventeenth Annual Conference on Computational Learning Theory (COLT 2004), 8-11 July 2004, Banff, Canada.

An algorithmic and a geometric characterizatoin of coarsening at random.
Richard Gill and Peter Grünwald
(2005) Math ArXiv, Math ArXiV, section statistics, math.ST/0510276.

The statistical strength of nonlocality proofs
Wim Van Dam, Richard Gill and Peter Grünwald
IEEE Transactions on Information Theory 2004.

Shannon Information and Kolmogorov Complexity
Peter Grünwald and Paul Vitányi
submitted 2004.

Generalization to Unseen Cases
Teemu Roos, Peter Grünwald, Petri Myllymäki and Henry Tirri
In: NIPS 2005, 5-11 Dec 2005, Vancouver, Canada.

The statistical strength of nonlocality proofs
Wim Van Dam, Richard Gill and Peter Grünwald
IEEE Transactions on Information Theory Volume 51, Number 8, pp. 2812-2835, 2005.

Accumulative prediction error and the selection of time series models
Eric-Jan Wagenmakers, Peter Grünwald and Mark Steijvers
Journal of Mathematical Psychology Volume (under submission), Number -, 2005.

A First Look at the Minimum Description Length Principle
Peter Grünwald
In: Intelligent Algorithms Philips Research Book Series . (2005) Springer Verlag , Berlin .

Advances in Minimum Description Length
Peter Grünwald, In Jae Myung and Mark Pitt, ed. (2005) Neural Information Processing Series . MIT Press , Cambridge, MA, USA .

Suboptimal behaviour of Bayes and MDL in classification under misspecification
Peter Grünwald and John Langford
under submission 2005.

A Bayesian Perspective on Hypothesis Testing - comment on Killeen (2005)
Peter Grünwald and Eric-Jan Wagenmakers
under submission 2005.

An Algorithmic and a Geometric Characterization of Coarsening at Random
Richard Gill and Peter Grünwald
Annals of Statistics 2007.

Review of the book 'statistical and inductive inference by Minimum Message Length', by C. Wallace
Peter Grünwald
(2006) Oxford Journals.

An empirical study of MDL Model Selection with infinite parametric complexity
Steven de Rooij and Peter Grünwald
Journal of Mathematical Psychology Volume 50, Number 2, pp. 180-192, 2006.

Bayesian inconsistency under misspecification
Peter Grünwald
In: Valencia VIII, Benidorm, Spain(2006).

A Bayesian Perspective on Hypothesis Testing - comment on Killeen (2005)
Peter Grünwald and Eric-Jan Wagenmakers
Psychological Science 17(7) Volume 17, Number 7, pp. 641-642, 2006.

Suboptimal behaviour of Bayes and MDL in classification under misspecification
Peter Grünwald and John Langford
Machine Learning Volume 66, Number 2-3, pp. 119-149, 2007.

The Minimum Description Length Principle
Peter Grünwald
(2007) MIT Press , Cambridge, MA, USA . ISBN 978-0-262-07281-6

A Game-Theoretic Characterization of Updating Sets of Probabilities
Peter Grünwald and Joe Halpern
(2007) arXiv.org.

Caveats on Bayesian Derivations of NML Probabilities: A Comment on Karabatsos and Walker (2006)
Peter Grünwald and Daniel Navarro
Mathematical Psychology Volume 53, pp. 43-51, 2009.

That simple device already used by Gauss
Peter Grünwald
In: Festschrift in Honor of Jorma Rissanen on the Occasion of his 75th Birthday (2008) Tampere University Press , Tampere, Finland .

A game-theoretic analysis of updating sets of probabilities
Peter Grünwald and Joseph Halpern
In: UAI 2008, Helsinki, Finland(2008).

Entropy concentration and the empirical coding game
Peter Grünwald
Statistica Neerlandica Volume 62, Number 3, pp. 374-392, 2008.

Algorithmic Information Theory
Peter Grünwald and Paul Vitányi
In: Handbook of the Philosophy of Science, Volume 8: Philosophy of Information (2008) Elsevier Science .

Festschrift in Honor of Jorma Rissanen on the Occasion of his 75th Birthday
Peter Grünwald, Petri Myllymäki, Ioan Tabus, Marcelo Weinberger and Bin Yu, ed. (2008) Tampere University Press .

Catching up Faster in Bayesian Model Selection and Model Averaging
Tim Erven, van, Peter Grünwald and Steven De Rooij
In: NIPS 2007, Vancouver(2008).

A general definition of conditional information and its application to ergodic decomposition
Lukasz Debowski
Statistics and Probability Letters 2008. ISSN 0167-7152

Following the Flattened Leader
Wojciech Kotlowski, Peter Grünwald and Steven De Rooij
(2010) COLT conference.

Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong
Peter Grünwald and Wojciech Kotlowski
(2010) ISIT conference Texas.

Decision Rule-based Algorithm for Ordinal Classification based on Rank Loss Minimization
Wojciech Kotlowski
In: Preference Learning, ECML/PKDD Workshop 2009(2009).

Computable Bayesian Compression for Uniformly Discretizable Statistical Models
Lukasz Debowski
In: ALT 2009, Porto, Portugal(2009).

Jeffreys vs. Shtarkov Distributions Associated with Some Natural Exponential Families
S.K. Bar-Lev, D. Bshouty, Peter Grünwald and P. Harremoes
Statistical Methodology 2010.

Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration
Peter Grünwald and Joseph Halpern
Journal of Artificial Intelligence Research (JAIR) Volume 42, pp. 393-426, 2011.

Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity
Peter Grünwald
In: COLT 2011, 9-11 July 2011, Budapest, Hungary.

Mixability in statistical learning
Tim Erven, van, Peter Grünwald, Mark Reid and Bob Williamson
In: NIPS 2012, Lake Tahoe, CA, USA(2012).

The Safe Bayesian: learning the learning rate via the mixability gap
Peter Grünwald
In: ALT 2012, Lyon, France(2012).

Commentary on "The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators" by F. Hedayati and P. Bartlett
Peter Grünwald
(2012) JMLR Proceedings.