← Authors

Peter Grünwald

14 papers · 2007–2023 · 4 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (13) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (16) 🏆 Keyword Champion (3) 🗃️ Keyword Collector (64) 💎 Century Club (14) 🔥 Unstoppable (6) 🚀 Conference Pioneer

Conferences

NIPS (6) COLT (5) AISTATS (2) JMLR (1)

Top co-authors

Wouter M. Koolen (3) Tim V. Erven (3) Steven D. Rooij (2) Tim van Erven (2) Peter Bartlett (1) Elad Hazan (1) Wojciech Kotłowski (1) Rosanne Turner (1) Peter Harremoës (1) Zakaria Mhammedi (1)

Research topics

Statistics (3)

Keywords

fast rate (3) regret bound (3) online learning (3) learning rate (3) convergence rate (2) generalization bound (2) bernstein condition (2) model selection (1) statistical consistency (1) causal inference (1) regret minimization (1) bayesian estimation (1) universal consistency (1) mutual information (1) hedge algorithm (1) cross-validation (1) adversarial learning (1) switch-distribution (1) excess risk (1) exponential family (1)

Papers

Minimax Risk Classifiers with 0-1 Loss JMLR 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021
Safe-Bayesian Generalized Linear Regression AISTATS 2020
PAC-Bayes Un-Expected Bernstein Inequality NIPS 2019
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning NIPS 2016
Conference on Learning Theory 2015: Preface COLT 2015
Learning the Learning Rate for Prediction with Expert Advice NIPS 2014
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
Mixability in Statistical Learning NIPS 2012
Adaptive Hedge NIPS 2011
Safe Learning: bridging the gap between Bayes, MDL and statistical learning theory via empirical convexity COLT 2011
Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation COLT 2011
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007