Wouter M. Koolen

88 papers A* 21A 1B 4C 2Misc 2Journal 47Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Robustness of Kernel Ridge Regression Using the Cauchy Loss Function. CoRR Hongwei Wen, Annika Betken, Wouter M. Koolen
2025	J	`jnl`	Sequential Learning of the Pareto Front for Multi-objective Bandits. CoRR Élise Crepon, Aurélien Garivier, Wouter M. Koolen
2024	A	`conf`	Sequential learning of the Pareto front for multi-objective bandits. AISTATS Élise Crepon, Aurélien Garivier, Wouter M. Koolen
2023	J	`jnl`	Hebbian learning inspired estimation of the linear regression parameters from queries. CoRR Johannes Schmidt-Hieber, Wouter M. Koolen
2023	A*	`conf`	Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. NeurIPS Hédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen
2023	J	`jnl`	Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games. CoRR Hédi Hadiji, Sarah Sachs, Tim van Erven, Wouter M. Koolen
2022	J	`jnl`	A composite generalization of Ville's martingale theorem. CoRR Johannes Ruf, Martin Larsson, Wouter M. Koolen, Aaditya Ramdas
2022	J	`jnl`	Log-optimal anytime-valid E-values. Int. J. Approx. Reason. Wouter M. Koolen, Peter Grünwald
2022	A*	`conf`	Luckiness in Multiscale Online Learning. NeurIPS Wouter M. Koolen, Muriel Felipe Pérez-Ortiz
2022	J	`jnl`	Testing exchangeability: Fork-convexity, supermartingales and e-processes. Int. J. Approx. Reason. Aaditya Ramdas, Johannes Ruf, Martin Larsson, Wouter M. Koolen
2021	A*	`conf`	A/B/n Testing with Control in the Presence of Subpopulations. NeurIPS Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen
2021	J	`jnl`	A/B/n Testing with Control in the Presence of Subpopulations. CoRR Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M. Koolen
2021	J	`jnl`	How can one test if a binary sequence is exchangeable? Fork-convex hulls, supermartingales, and Snell envelopes. CoRR Aaditya Ramdas, Johannes Ruf, Martin Larsson, Wouter M. Koolen
2021	J	`jnl`	MetaGrad: Adaptation using Multiple Learning Rates in Online Learning. CoRR Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven
2021	J	`jnl`	MetaGrad: Adaptation using Multiple Learning Rates in Online Learning. J. Mach. Learn. Res. Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven
2021	J	`jnl`	Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals. J. Mach. Learn. Res. Emilie Kaufmann, Wouter M. Koolen
2021	A*	`conf`	Optimal Best-Arm Identification Methods for Tail-Risk Measures. NeurIPS Shubhada Agrawal, Wouter M. Koolen, Sandeep Juneja
2021	A*	`conf`	Regret Minimization in Heavy-Tailed Bandits. COLT Shubhada Agrawal, Sandeep Juneja, Wouter M. Koolen
2021	J	`jnl`	Regret Minimization in Heavy-Tailed Bandits. CoRR Shubhada Agrawal, Sandeep Juneja, Wouter M. Koolen
2021	A*	`conf`	Robust Online Convex Optimization in the Presence of Outliers. COLT Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski
2021	J	`jnl`	Robust Online Convex Optimization in the Presence of Outliers. CoRR Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski
2020	A*	`conf`	Lipschitz and Comparator-Norm Adaptivity in Online Learning. COLT Zakaria Mhammedi, Wouter M. Koolen
2020	J	`jnl`	Lipschitz and Comparator-Norm Adaptivity in Online Learning. CoRR Zakaria Mhammedi, Wouter M. Koolen
2020	A*	`conf`	Open Problem: Fast and Optimal Online Portfolio Selection. COLT Tim van Erven, Dirk van der Hoeven, Wojciech Kotlowski, Wouter M. Koolen
2020	J	`jnl`	Optimal Best-Arm Identification Methods for Tail-Risk Measures. CoRR Shubhada Agrawal, Wouter M. Koolen, Sandeep Juneja
2020	Misc	`conf`	Safe Testing. ITA Peter Grünwald, Rianne de Heide, Wouter M. Koolen
2020	A*	`conf`	Structure Adaptive Algorithms for Stochastic Bandits. ICML Rémy Degenne, Han Shao, Wouter M. Koolen
2020	J	`jnl`	Structure Adaptive Algorithms for Stochastic Bandits. CoRR Rémy Degenne, Han Shao, Wouter M. Koolen
2019	C	`conf`	Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness. ECSQARU Thijs van Ommen, Wouter M. Koolen, Peter D. Grünwald
2019	A*	`conf`	Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. COLT Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
2019	J	`jnl`	Lipschitz Adaptivity with Multiple Learning Rates in Online Learning. CoRR Zakaria Mhammedi, Wouter M. Koolen, Tim van Erven
2019	A*	`conf`	Non-Asymptotic Pure Exploration by Solving Games. NeurIPS Rémy Degenne, Wouter M. Koolen, Pierre Ménard
2019	J	`jnl`	Non-Asymptotic Pure Exploration by Solving Games. CoRR Rémy Degenne, Wouter M. Koolen, Pierre Ménard
2019	A*	`conf`	Pure Exploration with Multiple Correct Answers. NeurIPS Rémy Degenne, Wouter M. Koolen
2019	J	`jnl`	Pure Exploration with Multiple Correct Answers. CoRR Rémy Degenne, Wouter M. Koolen
2019	J	`jnl`	Safe Testing. CoRR Peter Grünwald, Rianne de Heide, Wouter M. Koolen
2018	J	`jnl`	Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals. CoRR Emilie Kaufmann, Wouter M. Koolen
2018	A*	`conf`	Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. NeurIPS Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
2018	J	`jnl`	Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling. CoRR Emilie Kaufmann, Wouter M. Koolen, Aurélien Garivier
2017	—	`conf`	Monte-Carlo Tree Search by Best Arm Identification. NIPS Emilie Kaufmann, Wouter M. Koolen
2017	J	`jnl`	Monte-Carlo Tree Search by Best Arm Identification. CoRR Emilie Kaufmann, Wouter M. Koolen
2017	—	`conf`	Random Permutation Online Isotonic Regression. NIPS Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
2016	J	`jnl`	A Closer Look at Adaptive Regret. J. Mach. Learn. Res. Dmitry Adamskiy, Wouter M. Koolen, Alexey V. Chernov, Vladimir Vovk
2016	—	`conf`	Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning. NIPS Wouter M. Koolen, Peter Grünwald, Tim van Erven
2016	J	`jnl`	Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning. CoRR Wouter M. Koolen, Peter Grünwald, Tim van Erven
2016	A*	`conf`	Maximin Action Identification: A New Bandit Framework for Games. COLT Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen
2016	J	`jnl`	Maximin Action Identification: A New Bandit Framework for Games. CoRR Aurélien Garivier, Emilie Kaufmann, Wouter M. Koolen
2016	—	`conf`	MetaGrad: Multiple Learning Rates in Online Learning. NIPS Tim van Erven, Wouter M. Koolen
2016	J	`jnl`	MetaGrad: Multiple Learning Rates in Online Learning. CoRR Tim van Erven, Wouter M. Koolen
2016	J	`jnl`	Online Isotonic Regression. CoRR Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
2016	J	`jnl`	Robust and Adaptive Methods for Sequential Decision Making. ERCIM News Wouter M. Koolen
2016	J	`jnl`	Robust probability updating. Int. J. Approx. Reason. Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald
2015	A*	`conf`	Minimax Fixed-Design Linear Regression. COLT Peter L. Bartlett, Wouter M. Koolen, Alan Malek, Eiji Takimoto, Manfred K. Warmuth
2015	—	`conf`	Minimax Time Series Prediction. NIPS Wouter M. Koolen, Alan Malek, Peter L. Bartlett, Yasin Abbasi-Yadkori
2015	A*	`conf`	Open Problem: Online Sabotaged Shortest Path. COLT Wouter M. Koolen, Manfred K. Warmuth, Dmitry Adamskiy
2015	A*	`conf`	Second-order Quantile Methods for Experts and Combinatorial Games. COLT Wouter M. Koolen, Tim van Erven
2015	J	`jnl`	Second-order Quantile Methods for Experts and Combinatorial Games. CoRR Wouter M. Koolen, Tim van Erven
2015	J	`jnl`	Worst-case Optimal Probability Updating. CoRR Thijs van Ommen, Wouter M. Koolen, Thijs E. Feenstra, Peter D. Grünwald
2014	J	`jnl`	Buy low, sell high. Theor. Comput. Sci. Wouter M. Koolen, Vladimir Vovk
2014	J	`jnl`	Combining initial segments of lists. Theor. Comput. Sci. Manfred K. Warmuth, Wouter M. Koolen, David P. Helmbold
2014	—	`conf`	Efficient Minimax Strategies for Square Loss Games. NIPS Wouter M. Koolen, Alan Malek, Peter L. Bartlett
2014	J	`jnl`	Follow the leader if you can, hedge if you must. J. Mach. Learn. Res. Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen
2014	—	`conf`	Learning the Learning Rate for Prediction with Expert Advice. NIPS Wouter M. Koolen, Tim van Erven, Peter Grünwald
2014	A*	`conf`	Open Problem: Shifting Experts on Easy Data. COLT Manfred K. Warmuth, Wouter M. Koolen
2013	Misc	`conf`	A Long-Range Self-similarity Approach to Segmenting DJ Mixed Music Streams. AIAI Tim Scarfe, Wouter M. Koolen, Yuri Kalnishkan
2013	J	`jnl`	Follow the Leader If You Can, Hedge If You Must CoRR Steven de Rooij, Tim van Erven, Peter D. Grünwald, Wouter M. Koolen
2013	A*	`conf`	Learning a set of directions. COLT Wouter M. Koolen, Jiazhong Nie, Manfred K. Warmuth
2013	J	`jnl`	Switching investments. Theor. Comput. Sci. Wouter M. Koolen, Steven de Rooij
2013	—	`conf`	The Pareto Regret Frontier. NIPS Wouter M. Koolen
2013	J	`jnl`	Universal Codes From Switching Strategies. IEEE Trans. Inf. Theory Wouter M. Koolen, Steven de Rooij
2013	J	`jnl`	Universal Codes from Switching Strategies. CoRR Wouter M. Koolen, Steven de Rooij
2012	B	`conf`	A Closer Look at Adaptive Regret. ALT Dmitry Adamskiy, Wouter M. Koolen, Alexey V. Chernov, Vladimir Vovk
2012	B	`conf`	Buy Low, Sell High. ALT Wouter M. Koolen, Vladimir Vovk
2012	—	`conf`	Putting Bayes to sleep. NIPS Wouter M. Koolen, Dmitry Adamskiy, Manfred K. Warmuth
2011	—	`conf`	Adaptive Hedge. NIPS Tim van Erven, Peter Grunwald, Wouter M. Koolen, Steven de Rooij
2011	B	`conf`	Combining Initial Segments of Lists. ALT Manfred K. Warmuth, Wouter M. Koolen, David P. Helmbold
2011	—	`conf`	Learning Eigenvectors for Free. NIPS Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
2011	J	`jnl`	Some Mathematical Refinements Concerning Error Minimization in the Genetic Code. IEEE ACM Trans. Comput. Biol. Bioinform. Harry Buhrman, Peter T. S. van der Gulik, Steven Kelk, Wouter M. Koolen, Leen Stougie
2010	J	`jnl`	Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors CoRR Wouter M. Koolen, Tim van Erven
2010	A*	`conf`	Hedging Structured Concepts. COLT Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivinen
2010	B	`conf`	Switching Investments. ALT Wouter M. Koolen, Steven de Rooij
2010	J	`jnl`	Switching between Hidden Markov Models using Fixed Share CoRR Wouter M. Koolen, Tim van Erven
2009	J	`jnl`	Time-bounded incompressibility of compressible strings and sequences. Inf. Process. Lett. Edgar G. Daylight, Wouter M. Koolen, Paul M. B. Vitányi
2008	J	`jnl`	Combining Expert Advice Efficiently CoRR Wouter M. Koolen, Steven de Rooij
2008	A*	`conf`	Combining Expert Advice Efficiently. COLT Wouter M. Koolen, Steven de Rooij
2008	J	`jnl`	Kolmogorov Complexity Theory over the Reals CoRR Martin Ziegler, Wouter M. Koolen
2008	C	`conf`	Kolmogorov Complexity Theory over the Reals. CCA Martin Ziegler, Wouter M. Koolen
2008	J	`jnl`	On Time-Bounded Incompressibility of Compressible Strings CoRR Edgar G. Daylight, Wouter M. Koolen, Paul M. B. Vitányi