Wojciech Kotłowski
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My research area is machine learning. I am mainly interested in online learning and sequential prediction, but I also work
on other theoretical aspects of learning from data.
I am a faculty member at
the Institute of Computing Science, Poznań University of Technology.
In 2018, I received a habilitation degree in Computer Science.
In 2009-2012, I was a postdoctoral fellow at Centrum Wiskunde & Informatica (CWI), in the group of Peter Grünwald. I received my Ph.D. in Computer Science (2009) from Poznań University of Technology under supervision of prof. Roman Słowiński.
More information in my CV.
Some recent publications (see all)
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Comparison of machine learning algorithms used to classify the asteroids observed by all-sky surveys
H. Klimczak, D. Oszkiewicz, B. Carry, A. Penttilä, W. Kotlowski, A. Kryszczyńska, E. Wilawer
Astronomy & Astrophysics, 2022
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Robust online convex optimization in the presence of outliers
Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotłowski
Conference on Learning Theory (COLT), 2021
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A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer
Manfred K. Warmuth, Wojciech Kotłowski, Ehsan Amid
Algorithmic Learning Theory (ALT), 2021
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Learning to crawl
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotłowski, Dávid Pál, Balázs Szörényi
AAAI Conference on Artificial Intelligence, 2020
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Scale-invariant unconstrained online learning
Wojciech Kotłowski
Theoretical Computer Science, 2020
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Bandit Principal Component Analysis
Wojciech Kotłowski, Gergely Neu
Conference on Learning Theory (COLT), 2019
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Adaptive scale-invariant online algorithms for learning linear models
Michał Kempka, Wojciech Kotłowski, Manfred K. Warmuth
International Conference on Machine Learning (ICML), 2019
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On minimaxity of Follow the Leader strategy
in the stochastic setting
Wojciech Kotłowski
Theoretical Computer Science, 2018
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The Many Faces of Exponential Weights in Online Learning
Dirk van der Hoeven, Tim van Erven, Wojciech Kotłowski
Conference on Learning Theory (COLT), 2018
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Random Permutation Online Isotonic Regression
Wojciech Kotłowski, Wouter Koolen, Alan Malek
Neural Information Processing Systems (NIPS), 2017
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Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
International Conference on Machine Learning (ICML), 2017
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Surrogate regret bounds for
generalized classification performance metrics
Wojciech Kotłowski, Krzysztof Dembczyński
Machine Learning, 2017