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Wouter M. Koolen

Orcid: 0000-0002-1053-6701

According to our database¹, Wouter M. Koolen authored at least 59 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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On csauthors.net:

Bibliography

2024

Sequential learning of the Pareto front for multi-objective bandits.

[BibT_eX]

[DOI]

,

Aurélien Garivier

,

Wouter M. Koolen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Hebbian learning inspired estimation of the linear regression parameters from queries.

[BibT_eX]

[DOI]

Johannes Schmidt-Hieber

,

Wouter M. Koolen

CoRR, 2023

Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games.

[BibT_eX]

[DOI]

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,

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Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Testing exchangeability: Fork-convexity, supermartingales and e-processes.

[BibT_eX]

[DOI]

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,

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Wouter M. Koolen

Int. J. Approx. Reason., 2022

Log-optimal anytime-valid E-values.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Peter Grünwald

Int. J. Approx. Reason., 2022

A composite generalization of Ville's martingale theorem.

[BibT_eX]

[DOI]

,

,

Wouter M. Koolen

,

CoRR, 2022

Luckiness in Multiscale Online Learning.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Muriel Felipe Pérez-Ortiz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals.

[BibT_eX]

[DOI]

Emilie Kaufmann

,

Wouter M. Koolen

J. Mach. Learn. Res., 2021

MetaGrad: Adaptation using Multiple Learning Rates in Online Learning.

[BibT_eX]

[DOI]

,

Wouter M. Koolen

,

Dirk van der Hoeven

J. Mach. Learn. Res., 2021

How can one test if a binary sequence is exchangeable? Fork-convex hulls, supermartingales, and Snell envelopes.

[BibT_eX]

[DOI]

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,

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Wouter M. Koolen

CoRR, 2021

A/B/n Testing with Control in the Presence of Subpopulations.

[BibT_eX]

[DOI]

,

Christina Katsimerou

,

,

,

Aurélien Garivier

,

Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Best-Arm Identification Methods for Tail-Risk Measures.

[BibT_eX]

[DOI]

Shubhada Agrawal

,

Wouter M. Koolen

,

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Online Convex Optimization in the Presence of Outliers.

[BibT_eX]

[DOI]

,

,

Wouter M. Koolen

,

Wojciech Kotlowski

Proceedings of the Conference on Learning Theory, 2021

Regret Minimization in Heavy-Tailed Bandits.

[BibT_eX]

[DOI]

Shubhada Agrawal

,

,

Wouter M. Koolen

Proceedings of the Conference on Learning Theory, 2021

2020

Safe Testing.

[BibT_eX]

[DOI]

Peter Grünwald

,

Rianne de Heide

,

Wouter M. Koolen

Proceedings of the Information Theory and Applications Workshop, 2020

Structure Adaptive Algorithms for Stochastic Bandits.

[BibT_eX]

[DOI]

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Wouter M. Koolen

Proceedings of the 37th International Conference on Machine Learning, 2020

Lipschitz and Comparator-Norm Adaptivity in Online Learning.

[BibT_eX]

[DOI]

Zakaria Mhammedi

,

Wouter M. Koolen

Proceedings of the Conference on Learning Theory, 2020

Open Problem: Fast and Optimal Online Portfolio Selection.

[BibT_eX]

[DOI]

,

Dirk van der Hoeven

,

Wojciech Kotlowski

,

Wouter M. Koolen

Proceedings of the Conference on Learning Theory, 2020

2019

Non-Asymptotic Pure Exploration by Solving Games.

[BibT_eX]

[DOI]

,

Wouter M. Koolen

,

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pure Exploration with Multiple Correct Answers.

[BibT_eX]

[DOI]

,

Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness.

[BibT_eX]

[DOI]

Thijs van Ommen

,

Wouter M. Koolen

,

Peter D. Grünwald

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

Lipschitz Adaptivity with Multiple Learning Rates in Online Learning.

[BibT_eX]

[DOI]

Zakaria Mhammedi

,

Wouter M. Koolen

,

Proceedings of the Conference on Learning Theory, 2019

2018

Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling.

[BibT_eX]

[DOI]

Emilie Kaufmann

,

Wouter M. Koolen

,

Aurélien Garivier

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Random Permutation Online Isotonic Regression.

[BibT_eX]

[DOI]

Wojciech Kotlowski

,

Wouter M. Koolen

,

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Monte-Carlo Tree Search by Best Arm Identification.

[BibT_eX]

[DOI]

Emilie Kaufmann

,

Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A Closer Look at Adaptive Regret.

[BibT_eX]

[DOI]

Dmitry Adamskiy

,

Wouter M. Koolen

,

Alexey V. Chernov

,

J. Mach. Learn. Res., 2016

Robust probability updating.

[BibT_eX]

[DOI]

Thijs van Ommen

,

Wouter M. Koolen

,

Thijs E. Feenstra

,

Peter D. Grünwald

Int. J. Approx. Reason., 2016

Robust and Adaptive Methods for Sequential Decision Making.

[BibT_eX]

[DOI]

Wouter M. Koolen

ERCIM News, 2016

Online Isotonic Regression.

[BibT_eX]

[DOI]

Wojciech Kotlowski

,

Wouter M. Koolen

,

CoRR, 2016

Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Peter Grünwald

,

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

MetaGrad: Multiple Learning Rates in Online Learning.

[BibT_eX]

[DOI]

,

Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Maximin Action Identification: A New Bandit Framework for Games.

[BibT_eX]

[DOI]

Aurélien Garivier

,

Emilie Kaufmann

,

Wouter M. Koolen

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Worst-case Optimal Probability Updating.

[BibT_eX]

[DOI]

Thijs van Ommen

,

Wouter M. Koolen

,

Thijs E. Feenstra

,

Peter D. Grünwald

CoRR, 2015

Minimax Time Series Prediction.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

,

Peter L. Bartlett

,

Yasin Abbasi-Yadkori

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Open Problem: Online Sabotaged Shortest Path.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Manfred K. Warmuth

,

Dmitry Adamskiy

Proceedings of The 28th Conference on Learning Theory, 2015

Second-order Quantile Methods for Experts and Combinatorial Games.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Proceedings of The 28th Conference on Learning Theory, 2015

Minimax Fixed-Design Linear Regression.

[BibT_eX]

[DOI]

Peter L. Bartlett

,

Wouter M. Koolen

,

,

,

Manfred K. Warmuth

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Combining initial segments of lists.

[BibT_eX]

[DOI]

Manfred K. Warmuth

,

Wouter M. Koolen

,

David P. Helmbold

Theor. Comput. Sci., 2014

Buy low, sell high.

[BibT_eX]

[DOI]

Wouter M. Koolen

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Theor. Comput. Sci., 2014

Follow the leader if you can, hedge if you must.

[BibT_eX]

[DOI]

Steven de Rooij

,

,

Peter D. Grünwald

,

Wouter M. Koolen

J. Mach. Learn. Res., 2014

Efficient Minimax Strategies for Square Loss Games.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

,

Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning the Learning Rate for Prediction with Expert Advice.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

,

Peter Grünwald

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Open Problem: Shifting Experts on Easy Data.

[BibT_eX]

[DOI]

Manfred K. Warmuth

,

Wouter M. Koolen

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Universal Codes From Switching Strategies.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Steven de Rooij

IEEE Trans. Inf. Theory, 2013

Switching investments.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Steven de Rooij

Theor. Comput. Sci., 2013

The Pareto Regret Frontier.

[BibT_eX]

[DOI]

Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Long-Range Self-similarity Approach to Segmenting DJ Mixed Music Streams.

[BibT_eX]

[DOI]

,

Wouter M. Koolen

,

Yuri Kalnishkan

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Learning a set of directions.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

,

Manfred K. Warmuth

Proceedings of the COLT 2013, 2013

2012

Putting Bayes to sleep.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Dmitry Adamskiy

,

Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Some Mathematical Refinements Concerning Error Minimization in the Genetic Code.

[BibT_eX]

[DOI]

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Peter T. S. van der Gulik

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Wouter M. Koolen

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IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Learning Eigenvectors for Free.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Wojciech Kotlowski

,

Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Adaptive Hedge.

[BibT_eX]

[DOI]

,

,

Wouter M. Koolen

,

Steven de Rooij

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors

[BibT_eX]

[DOI]

Wouter M. Koolen

,

CoRR, 2010

Switching between Hidden Markov Models using Fixed Share

[BibT_eX]

[DOI]

Wouter M. Koolen

,

CoRR, 2010

Hedging Structured Concepts.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Manfred K. Warmuth

,

Proceedings of the COLT 2010, 2010

2009

Time-bounded incompressibility of compressible strings and sequences.

[BibT_eX]

[DOI]

Edgar G. Daylight

,

Wouter M. Koolen

,

Paul M. B. Vitányi

Inf. Process. Lett., 2009

2008

Kolmogorov Complexity Theory over the Reals.

[BibT_eX]

[DOI]

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Wouter M. Koolen

Proceedings of the Fifth International Conference on Computability and Complexity in Analysis, 2008

On Time-Bounded Incompressibility of Compressible Strings

[BibT_eX]

[DOI]

Edgar G. Daylight

,

Wouter M. Koolen

,

Paul M. B. Vitányi

CoRR, 2008

Combining Expert Advice Efficiently.

[BibT_eX]

[DOI]

Wouter M. Koolen

,

Steven de Rooij

Proceedings of the 21st Annual Conference on Learning Theory, 2008

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