Wouter M. Koolen
32 papers · 2011–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (15) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
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Keyword Pioneer
🌉
Interdisciplinary Bridge
🔬
Deep Specialist
(18)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(138)
📈
Trend Setter
💎
Century Club
(32)
🔥
Unstoppable
(13)
⚡
Prolific Year
(5)
Conferences
NIPS (18)
COLT (10)
JMLR (4)
Top co-authors
Research topics
Keywords
regret bound
(14)
online learning
(13)
multi-armed bandit
(10)
learning rate
(5)
expert advice
(4)
game theory
(4)
adversarial learning
(3)
sequential testing
(3)
regret minimization
(3)
online convex optimization
(3)
stochastic optimization
(3)
pure exploration
(3)
sample complexity
(2)
minimax regret
(2)
learning theory
(2)
hedge algorithm
(2)
minimax optimization
(2)
isotonic regression
(2)
minimax strategy
(2)
adaptive learning rate
(2)
Papers
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games
NIPS 2023
Luckiness in Multiscale Online Learning
NIPS 2022
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
JMLR 2021
A/B/n Testing with Control in the Presence of Subpopulations
NIPS 2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures
NIPS 2021
Regret Minimization in Heavy-Tailed Bandits
COLT 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
JMLR 2021
Lipschitz and Comparator-Norm Adaptivity in Online Learning
COLT 2020
Open Problem: Fast and Optimal Online Portfolio Selection
COLT 2020
Non-Asymptotic Pure Exploration by Solving Games
NIPS 2019
Pure Exploration with Multiple Correct Answers
NIPS 2019
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
NIPS 2018
Monte-Carlo Tree Search by Best Arm Identification
NIPS 2017
Random Permutation Online Isotonic Regression
NIPS 2017
Online Isotonic Regression
COLT 2016
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
NIPS 2016
MetaGrad: Multiple Learning Rates in Online Learning
NIPS 2016
A Closer Look at Adaptive Regret
JMLR 2016
Maximin Action Identification: A New Bandit Framework for Games
COLT 2016
Minimax Time Series Prediction
NIPS 2015
Open Problem: Online Sabotaged Shortest Path
COLT 2015
Minimax Fixed-Design Linear Regression
COLT 2015
Second-order Quantile Methods for Experts and Combinatorial Games
COLT 2015
Open Problem: Shifting Experts on Easy Data
COLT 2014
Efficient Minimax Strategies for Square Loss Games
NIPS 2014
Learning the Learning Rate for Prediction with Expert Advice
NIPS 2014
Follow the Leader If You Can, Hedge If You Must
JMLR 2014
The Pareto Regret Frontier
NIPS 2013
Learning a set of directions
COLT 2013
Putting Bayes to sleep
NIPS 2012
Learning Eigenvectors for Free
NIPS 2011
Adaptive Hedge
NIPS 2011