Peter Grünwald
14 papers · 2007–2023 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (16)
🌍
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
Research topics
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