Articles by Wouter M. Koolen | Synthical

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24

A Generalisation of Ville's Inequality to Monotonic Lower Bounds and Thresholds

22 February 2025 by Wouter Koolen and others

Statistics Theory, Probability

Accelerated Mirror Descent for Non-Euclidean Star-convex Functions

11 February 2025 by Clément Lezane and others

Optimization and Control

Supermartingales for One-Sided Tests: Sufficient Monotone Likelihood Ratios are Sufficient

7 February 2025 by Peter Grünwald and Wouter Koolen

Statistics Theory

Sequential Learning of the Pareto Front for Multi-objective Bandits

29 January 2025 by Elise Crépon and others

Machine Learning

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

2 November 2023 by Hédi Hadiji and others at

Computer Science and Game Theory, Optimization and Control

A composite generalization of Ville's martingale theorem

3 May 2023 by Johannes Ruf and others

Probability, Computer Science and Game Theory

MetaGrad: Adaptation using Multiple Learning Rates in Online Learning

30 August 2021 by Tim Van Erven and others

Machine Learning

Regret Minimization in Heavy-Tailed Bandits

7 February 2021 by Shubhada Agrawal and others

Machine Learning

Optimal Best-Arm Identification Methods for Tail-Risk Measures

1 February 2021 by Shubhada Agrawal and others

Machine Learning

Lipschitz and Comparator-Norm Adaptivity in Online Learning

8 August 2020 by Zakaria Mhammedi and Wouter Koolen

Machine Learning

Structure Adaptive Algorithms for Stochastic Bandits

2 July 2020 by Rémy Degenne and others

Machine Learning

Non-Asymptotic Pure Exploration by Solving Games

25 June 2019 by Rémy Degenne and others

Machine Learning

Lipschitz Adaptivity with Multiple Learning Rates in Online Learning

30 May 2019 by Zakaria Mhammedi and others

Machine Learning

Pure Exploration with Multiple Correct Answers

9 February 2019 by Rémy Degenne and Wouter Koolen

Machine Learning

Online Isotonic Regression

7 October 2016 by Wojciech Kotłowski and others

Machine Learning

MetaGrad: Multiple Learning Rates in Online Learning

23 June 2016 by Tim Van Erven and Wouter Koolen

Machine Learning

Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning

20 May 2016 by Wouter Koolen and others

Machine Learning

Robust Probability Updating

2 May 2016 by Thijs Van Ommen and others

Methodology, Computer Science and Game Theory

Second-order Quantile Methods for Experts and Combinatorial Games

27 February 2015 by Wouter Koolen and Tim Van Erven

Machine Learning

Universal Codes from Switching Strategies

26 November 2013 by Wouter Koolen and Steven Rooij

Information Theory, Machine Learning

Follow the Leader If You Can, Hedge If You Must

17 January 2013 by Steven Rooij and others

Machine Learning

28 October 2011 by Tim Van Erven and others

Machine Learning

Probability-free pricing of adjusted American lookbacks

20 August 2011 by A. Philip Dawid and others

Pricing of Securities

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

27 August 2010 by Wouter Koolen and Tim Van Erven

Machine Learning

Switching between Hidden Markov Models using Fixed Share

26 August 2010 by Wouter Koolen and Tim Van Erven

Machine Learning

Some mathematical refinements concerning error minimization in the genetic code

26 July 2010 by Harry Buhrman and others

Quantitative Methods, Genomics

Kolmogorov Complexity Theory over the Reals

28 March 2008 by Martin Ziegler and Wouter Koolen

Computational Complexity, Symbolic Computation

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Topics

Machine Learning Computer Science and Game Theory Optimization and Control Statistics Theory Information Theory Probability Methodology Pricing of Securities Quantitative Methods Genomics Computational Complexity Symbolic Computation