Peter D. Grünwald

27 papers A* 1B 2C 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
The no-free-lunch theorems of supervised learning.
CoRR
Tom F. Sterkenburg, Peter D. Grünwald
2020 J jnl
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes.
J. Mach. Learn. Res.
Peter D. Grünwald, Nishant A. Mehta
2019 B conf
A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity.
ALT
Peter D. Grünwald, Nishant A. Mehta
2019 C conf
Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness.
ECSQARU
Thijs van Ommen, Wouter M. Koolen, Peter D. Grünwald
2019 J jnl
PAC-Bayes Un-Expected Bernstein Inequality.
CoRR
Zakaria Mhammedi, Peter D. Grünwald, Benjamin Guedj
2017 J jnl
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity.
CoRR
Peter D. Grünwald, Nishant A. Mehta
2016 J jnl
Explicit Bounds for Entropy Concentration Under Linear Constraints.
IEEE Trans. Inf. Theory
Kostas N. Oikonomou, Peter D. Grünwald
2016 J jnl
Fast Rates with Unbounded Losses.
CoRR
Peter D. Grünwald, Nishant A. Mehta
2016 J jnl
Robust probability updating.
Int. J. Approx. Reason.
Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald
2015 J jnl
Fast rates in statistical and online learning.
CoRR
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
2015 J jnl
Fast rates in statistical and online learning.
J. Mach. Learn. Res.
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
2015 J jnl
Worst-case Optimal Probability Updating.
CoRR
Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald
2014 J jnl
A Game-Theoretic Analysis of Updating Sets of Probabilities.
CoRR
Peter D. Grünwald, Joseph Y. Halpern
2014 J jnl
Follow the leader if you can, hedge if you must.
J. Mach. Learn. Res.
Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen
2014 J jnl
Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration.
CoRR
Peter D. Grünwald, Joseph Y. Halpern
2014 J jnl
Updating Probabilities.
CoRR
Peter D. Grünwald, Joseph Y. Halpern
2014 J jnl
When Ignorance is Bliss.
CoRR
Peter D. Grünwald, Joseph Y. Halpern
2013 J jnl
Follow the Leader If You Can, Hedge If You Must
CoRR
Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen
2013 J jnl
Maximum Entropy and the Glasses You Are Looking Through
CoRR
Peter D. Grünwald
2012 — conf
Mixability in Statistical Learning.
NIPS
Tim van Erven, Peter D. Grünwald, Mark D. Reid, Robert C. Williamson
2011 A* conf
Bounds on Individual Risk for Log-loss Predictors.
COLT
Peter D. Grünwald, Wojciech Kotlowski
2011 J jnl
Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration.
J. Artif. Intell. Res.
Peter D. Grünwald, Joseph Y. Halpern
2008 J jnl
Algorithmic information theory
CoRR
Peter D. Grünwald, Paul M. B. Vitányi
2007 J jnl
A Game-Theoretic Analysis of Updating Sets of Probabilities
CoRR
Peter D. Grünwald, Joseph Y. Halpern
2007 J jnl
Information Theoretic Methods for Bioinformatics.
EURASIP J. Bioinform. Syst. Biol.
Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu
2005 J jnl
When Ignorance is Bliss
CoRR
Peter D. Grünwald, Joseph Y. Halpern
2002 B conf
Game theory, maximum generalized entropy, minimum discrepancy, robust Bayes and Pythagoras.
ITW
Peter D. Grünwald, A. Philip Dawid