Wouter M. Koolen
32 papers · 2011–2023 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Deep Specialist
(18)
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Keyword Champion
(2)
📈
Trend Setter
🔥
Unstoppable · Silver
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Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(146)
Venues
Top co-authors
Research topics
Machine Learning
(32)
Optimization & Theory
(29)
Learning Types
(26)
Mathematics & Optimization
(25)
Optimization
(25)
Artificial Intelligence
(9)
Core AI
(8)
Core Methods
(5)
Data Science & Analytics
(2)
Application Areas
(2)
Mathematics
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Methods
(1)
Statistics
(1)
Keywords
online learning
(16)
regret bound
(15)
multi-armed bandit
(10)
learning rate
(5)
expert advice
(4)
game theory
(4)
adversarial learning
(3)
regret minimization
(3)
sequential testing
(3)
pure exploration
(3)
online convex optimization
(3)
stochastic optimization
(3)
exponential weight
(3)
prediction with expert advice
(3)
monte carlo tree search
(2)
minimax regret
(2)
best arm identification
(2)
learning theory
(2)
square loss
(2)
hedge algorithm
(2)
Papers
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games
NeurIPS 2023
Luckiness in Multiscale Online Learning
NeurIPS 2022
A/B/n Testing with Control in the Presence of Subpopulations
NeurIPS 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
JMLR 2021
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
JMLR 2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures
NeurIPS 2021
Regret Minimization in Heavy-Tailed Bandits
COLT 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
NeurIPS 2019
Pure Exploration with Multiple Correct Answers
NeurIPS 2019
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling
NeurIPS 2018
Monte-Carlo Tree Search by Best Arm Identification
NeurIPS 2017
Random Permutation Online Isotonic Regression
NeurIPS 2017
A Closer Look at Adaptive Regret
JMLR 2016
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
NeurIPS 2016
Maximin Action Identification: A New Bandit Framework for Games
COLT 2016
MetaGrad: Multiple Learning Rates in Online Learning
NeurIPS 2016
Online Isotonic Regression
COLT 2016
Minimax Fixed-Design Linear Regression
COLT 2015
Minimax Time Series Prediction
NeurIPS 2015
Open Problem: Online Sabotaged Shortest Path
COLT 2015
Second-order Quantile Methods for Experts and Combinatorial Games
COLT 2015
Efficient Minimax Strategies for Square Loss Games
NeurIPS 2014
Follow the Leader If You Can, Hedge If You Must
JMLR 2014
Learning the Learning Rate for Prediction with Expert Advice
NeurIPS 2014
Open Problem: Shifting Experts on Easy Data
COLT 2014
Learning a set of directions
COLT 2013
The Pareto Regret Frontier
NeurIPS 2013
Putting Bayes to sleep
NeurIPS 2012
Adaptive Hedge
NeurIPS 2011
Learning Eigenvectors for Free
NeurIPS 2011