Grunwald, Peter

37 publications

JMLR 2023 Minimax Risk Classifiers with 0-1 Loss Santiago Mazuelas, Mauricio Romero, Peter Grunwald

AISTATS 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data Rosanne Turner, Peter Grunwald

COLT 2021 PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast Rate Bounds That Handle General VC Classes Peter Grunwald, Thomas Steinke, Lydia Zakynthinou

AISTATS 2020 Safe-Bayesian Generalized Linear Regression Rianne Heide, Alisa Kirichenko, Peter Grunwald, Nishant Mehta

ECML-PKDD 2020 Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen

NeurIPS 2019 PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj

NeurIPS 2016 Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning Wouter M. Koolen, Peter Grünwald, Tim van Erven

COLT 2015 Conference on Learning Theory 2015: Preface Peter Grünwald, Elad Hazan

COLT 2015 Proceedings of the 28th Conference on Learning Theory, COLT 2015, Paris, France, July 3-6, 2015 Peter Grünwald, Elad Hazan, Satyen Kale

NeurIPS 2014 Learning the Learning Rate for Prediction with Expert Advice Wouter M. Koolen, Tim van Erven, Peter Grünwald

COLT 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski

NeurIPS 2012 Mixability in Statistical Learning Tim V. Erven, Peter Grünwald, Mark D. Reid, Robert C. Williamson

ALT 2012 The Safe Bayesian - Learning the Learning Rate via the Mixability Gap Peter Grünwald

NeurIPS 2011 Adaptive Hedge Tim V. Erven, Wouter M. Koolen, Steven D. Rooij, Peter Grünwald

COLT 2011 Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-Line Density Estimation Wojciech Kotłowski, Peter Grünwald

COLT 2011 Safe Learning: Bridging the Gap Between Bayes, MDL and Statistical Learning Theory via Empirical Convexity Peter Grünwald

COLT 2010 Following the Flattened Leader Wojciech Kotlowski, Peter Grünwald, Steven de Rooij

UAI 2010 UAI 2010, Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, July 8-11, 2010 Peter Grünwald, Peter Spirtes

UAI 2008 A Game-Theoretic Analysis of Updating Sets of Probabilities Peter Grünwald, Joseph Y. Halpern

COLT 2008 The Catch-up Phenomenon in Bayesian Inference Peter Grunwald

NeurIPS 2007 Catching up Faster in Bayesian Model Selection and Model Averaging Tim V. Erven, Steven D. Rooij, Peter Grünwald

MLJ 2007 Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification Peter Grünwald, John Langford

COLT 2005 Asymptotic Log-Loss of Prequential Maximum Likelihood Codes Peter Grünwald, Steven de Rooij

NeurIPS 2005 Generalization to Unseen Cases Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri

MLJ 2005 On Discriminative Bayesian Network Classifiers and Logistic Regression Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri

COLT 2004 Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification Peter Grünwald, John Langford

UAI 2004 When Ignorance Is Bliss Peter Grünwald, Joseph Y. Halpern

ECML-PKDD 2003 A Minimum Descriptipn Length Approach to Grammar Inference Peter Grünwald

JAIR 2003 Updating Probabilities Peter Grünwald, Joseph Y. Halpern

IJCAI 2003 When Discriminative Learning of Bayesian Network Parameters Is Easy Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri

UAI 2002 Updating Probabilities Peter Grünwald, Joseph Y. Halpern

COLT 2001 Strong Entropy Concentration, Game Theory, and Algorithmic Randomness Peter Grünwald

UAI 2000 Maximum Entropy and the Glasses You Are Looking Through Peter Grünwald

COLT 1999 Viewing All Models as "Probabilistic" Peter Grünwald

ECML-PKDD 1998 Bayesian and Information-Theories Priors for Bayesian Network Parameters Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

UAI 1998 Minimum Encoding Approaches for Predictive Modeling Peter Grünwald, Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

AISTATS 1997 Comparing Predictive Inference Methods for Discrete Domains Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald