Publications of Wojciech Kotłowski

2022

• 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
  
• Optimization of future multi-filter surveys towards asteroid characterisation
  H. Klimczak, W. Kotłowski, D. Oszkiewicz, F. DeMeo, A. Kryszczyńska, E. Wilawer, T. Kwiatkowski
  European Planetary Science Congress, 2022
  

2021

• 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
  
• 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
  
• The impact of different parameter sets on the classification of asteroid types
  H. Klimczak, W. Kotłowski, D. Oszkiewicz, F. DeMeo, A. Kryszczyńska, T. Kwiatkowski, E. Wilawer
  European Planetary Science Congress, 2021
  
• Predicting Asteroid Types: Importance of Individual and Combined Features
  H. Klimczak, W. Kotłowski, D. Oszkiewicz, F. DeMeo, A. Kryszczyńska, E. Wilawer, B. Carry
  European Planetary Science Congress, 2021
  

2020

• Learning to crawl
  Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotłowski, Dávid Pál, Balázs Szörényi
  AAAI Conference on Artificial Intelligence, 2020
  
• Scale-invariant unconstrained online learning
  Wojciech Kotłowski
  Theoretical Computer Science, 2020
  
• Open problem: Fast and optimal online portfolio selection
  Tim van Erven, Dirk van der Hoeven, Wojciech Kotłowski, Wouter Koolen
  Conference on Learning Theory (COLT), 2020
  

2019

2018

• On minimaxity of Follow the Leader strategy in the stochastic setting
  Wojciech Kotłowski
  Theoretical Computer Science, 2018
  
• The Many Faces of Exponential Weights in Online Learning
  Dirk van der Hoeven, Tim van Erven, Wojciech Kotłowski
  Conference on Learning Theory (COLT), 2018
  

2017

• Random Permutation Online Isotonic Regression
  Wojciech Kotłowski, Wouter Koolen, Alan Malek
  Neural Information Processing Systems (NIPS), 2017
  
• Scale-invariant unconstrained online learning
  Wojciech Kotłowski
  Algorithmic Learning Theory (ALT), 2017
  
• Consistency Analysis for Binary Classification Revisited
  Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
  International Conference on Machine Learning (ICML), 2017
  
• Surrogate regret bounds for generalized classification performance metrics
  Wojciech Kotłowski, Krzysztof Dembczyński
  Machine Learning, 2017
  

2016

• Online PCA with Optimal Regret
  Nie Jiazhong, Wojciech Kotłowski, Manfred K. Warmuth
  Journal of Machine Learning Research, 2016
  
• On minimaxity of Follow the Leader strategy in the stochastic setting
  Wojciech Kotłowski
  Algorithmic Learning Theory (ALT), 2016
  
• Consistency of Probabilistic Classifier Trees
  Krzysztof Dembczyński, Wojciech Kotłowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
  European Conference on Machine Learning (ECML), 2016
  
• Online isotonic regression
  Wojciech Kotłowski, Wouter Koolen, Alan Malek
  Conference on Learning Theory (COLT), 2016
  

2015

• Minimax strategy for prediction with expert advice under stochastic assumptions
  Wojciech Kotłowski
  Learning from Easy Data II, NIPS, 2015
  
• Surrogate regret bounds for generalized classification performance metrics
  Wojciech Kotłowski, Krzysztof Dembczyński
  Asian Conference on Machine Learning (ACML), 2015
  
• Consistent optimization of AMS by logistic loss minimization
  Wojciech Kotłowski
  HEPML workshop, NIPS, 2014
  

2014

• Kernelization of Matrix Updates, When and How?
  Manfred Warmuth, Wojciech Kotłowski, Shuisheng Zhou
  Theoretical Computer Science, 2014
  
• Follow the Leader with Dropout Perturbations
  Tim van Erven, Wojciech Kotłowski, Manfred K. Warmuth
  Conference on Learning Theory (COLT), 2014
  

2013

• Online PCA with Optimal Regrets
  Nie Jiazhong, Wojciech Kotłowski, Manfred K. Warmuth
  Algorithmic Learning Theory (ALT), 2013
  
• Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
  Peter Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotłowski
  Conference on Learning Theory (COLT), 2013
  
• Optimizing the F-measure in Multi-label Classification: Plug-in Rule Approach versus Structured Loss Minimization
  Krzysztof Dembczyński, Arkadiusz Jachnik, Wojciech Kotłowski, Willem Waegeman, Eyke Hüllermeier
  International Conference on Machine Learning (ICML), 2013
  
• On Nonparametric Ordinal Classification with Monotonicity Constraints
  Wojciech Kotłowski, Roman Słowiński
  IEEE Transactions on Knowledge and Data Engineering, 2013
  
• Matrix Factorization for Travel Time Estimation in Large Traffic Networks
  Krzysztof Dembczyński, Wojciech Kotłowski, Przemysław Gaweł, Adam Szarecki, Andrzej Jaszkiewicz
  International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2013
  
• Real-time travel time prediction models in routing for car navigation applications
  Przemysław Gaweł, Krzysztof Dembczyński, Wojciech Kotłowski, Andrzej Jaszkiewicz
  Archives of Transport System Telematics, 2013
  

2012

• Community Traffic: A Technology for the Next Generation Car Navigation
  Przemysław Gaweł, Krzysztof Dembczyński, Wojciech Kotłowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz
  ADBIS Workshops, 2012
  
• Sequential Normalized Maximum Likelihood in Log-loss Prediction
  Wojciech Kotłowski, Peter Grünwald
  IEEE Information Theory Workshop (ITW), 2012
  
• Kernelization of Matrix Updates, When and How?
  Manfred Warmuth, Wojciech Kotłowski, Shuisheng Zhou
  Conference on Algorithmic Learning Theory (ALT), 2012
  
• Consistent Multilabel Ranking through Univariate Losses
  Krzysztof Dembczyński, Wojciech Kotłowski, Eyke Hüllermeier
  International Conference on Machine Learning (ICML), 2012
  
• Learning Eigenvectors for Free
  Wouter Koolen, Wojciech Kotłowski, Manfred Warmuth
  Information Theoretic Methods in Science and Engineering (WITMSE), 2012
  
• Community Traffic: A Technology for the Next Generation Car Navigation
  Krzysztof Dembczyński, Przemysław Gaweł, Andrzej Jaszkiewicz, Wojciech Kotłowski, Marek Kubiak, Robert Susmaga, Przemysław Wesołek, Adam Wojciechowski, Piotr Zielniewicz
  Control and Cybernetics, 2012
  

2011

• Learning Eigenvectors for Free
  Wouter Koolen, Wojciech Kotłowski, Manfred Warmuth
  Conference on Neural Information Processing Systems (NIPS), 2011
  
• Bipartite Ranking through Minimization of Univariate Loss
  Wojciech Kotłowski, Krzysztof Dembczyński, Eyke Hüllermeier
  International Conference on Machine Learning (ICML), 2011
  
• Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation
  Wojciech Kotłowski, Peter Grünwald
  Conference on Learning Theory (COLT), 2011
  
• Minimax Algorithm for Learning Rotations (open problem)
  Wojciech Kotłowski, Manfred Warmuth
  Conference on Learning Theory (COLT), 2011
  
• Bounds on Individual Risk for Log-loss Predictors (open problem)
  Wojciech Kotłowski, Peter Grünwald
  Conference on Learning Theory (COLT), 2011
  

2010

• Following the Flattened Leader
  Wojciech Kotłowski, Peter Grünwald, Steven de Rooij
  Conference on Learning Theory (COLT), 2010
  
• Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong
  Peter Grünwald, Wojciech Kotłowski
  IEEE International Symposium on Information Theory (ISIT), 2010
  
• Quantum Learning: Asymptotically Optimal Classification of Qubit States
  Mădălin Guţă, Wojciech Kotłowski
  New Journal of Physics, 2010
  
• ENDER - A Statistical Framework for Boosting Decision Rules
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  Data Mining and Knowledge Discovery, 2010
  
• Beyond Sequential Covering - Boosted Decision Rules
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  Studies in Computational Intelligence: Advances in Machine Learning, 2010
  
• Learning of Rule Ensembles for Multiple Attribute Ranking Problems
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg
  Preference Learning, 2010
  

2009

• Rule Learning with Monotonicity Constraints
  Wojciech Kotłowski, Roman Słowiński
  International Conference on Machine Learning (ICML), 2009
  
• Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  Fundamenta Informaticae, 2009.
• Decision Rule-based Algorithm for Ordinal Classification based on Rank Loss Minimization
  Krzysztof Dembczyński, Wojciech Kotłowski
  Preference Learning ECML/PKDD Workshop, 2009.
• Three Approaches to Ordinal Classification
  Krzysztof Dembczyński, Wojciech Kotłowski
  European Conference on Operational Research (EURO), 2009.
• AdRules: Improving Quality of Ads
  Krzysztof Dembczyński, Wojciech Kotłowski, Dawid Weiss
  Beyond Search: Semantic Computing and Internet Economics Workshop, 2009
  
• Improving the Travel Time Prediction by Using the Real-time Floating Car Data
  Krzysztof Dembczyński, Przemysław Gaweł, Andrzej Jaszkiewicz, Wojciech Kotłowski, Adam Szarecki
  Technical Report, Poznań University of Technology, 2009
  

2008

• Maximum Likelihood Rule Ensembles
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  International Conference on Machine Learning (ICML), 2008
  
• Stochastic Dominance-based Rough Set Model for Ordinal Classification
  Wojciech Kotłowski, Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński
  Information Sciences, 2008
  
• Effective Prediction of Web User Behaviour with User-Level Models
  Krzysztof Dembczyński, Wojciech Kotłowski, Marcin Sydow
  Fundamenta Informaticae, 2008
  
• A General Framework for Learning an Ensemble of Decision Rules
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  From Local Patterns to Global Models ECML/PKDD Workshop (LEGO), 2008
  
• Statistical Approach to Ordinal Classification with Monotonicity Constraints
  Wojciech Kotłowski, Roman Słowiński
  Preference Learning ECML/PKDD Workshop, 2008
  
• Stochastic Model for Dominance-based Rough Set Approach
  Wojciech Kotłowski, Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński
  Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Foundations, 2008
  
• Predicting Ads' Click-Through Rate with Decision Rules
  Krzysztof Dembczyński, Wojciech Kotłowski, Dawid Weiss
  WWW Workshop on Targeting and Ranking for Online Advertising (TROA), 2008
  
• On Selecting the Best Individual in Noisy Environments
  Wojciech Jaśkowski, Wojciech Kotłowski
  Conference on Genetic and Evolutionary Computation (GECCO), 2008
  
• Solving Regression by Learning an Ensemble of Decision Rules
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2008
  
• Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  Rough Sets and Knowledge Technology (RSKT), 2008
  

2007

• Ordinal Classification with Decision Rules
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  Mining Complex Data ECML/PKDD Workshop, 2007
  
• Statistical Model for Rough Set Approach to Multicriteria Classification
  Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
  European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2007
  
• Prediction of Web User Behaviour with User-Level Models
  Krzysztof Dembczyński, Wojciech Kotłowski, Marcin Sydow
  Discovery Challenge ECML/PKDD Workshop, 2007
  
• Relationship Between Loss Functions and Confirmation Measures
  Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
  Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2007
  
• Optimized Generalized Decision in Dominance-based Rough Set Approach
  Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
  Rough Sets and Knowledge Technology (RSKT), 2007
  
• Statistical Framework for Dominance-based Rough Set Approach
  Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
  Workshop on Complex Systems Modeling (CSM), 2007
  
• Qualitative Models of Climate Variations Impact on Crop Yields
  Wojciech Kotłowski
  Technical Report, International Institute of Applied System Analysis (IIASA), 2007
  

2006

• Mining Direct Marketing Data by Ensembles of Weak Learners
  Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Mariusz Pawłowski
  Data Warehousing and Knowledge Discovery (DaWaK), 2006
  
• Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values
  Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg
  Rough Sets and Current Trends in Computing (RSCTC), 2006
  
• Quality of Rough Approximation in Multi-Criteria Classification Problems
  Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
  Rough Sets and Current Trends in Computing (RSCTC), 2006
  
• Additive Preference Model with Piecewise Linear Components
  Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński
  International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2006
  
• Ensembles of Decision Rules
  Jerzy Błaszczyński, Krzysztof Dembczyński, Wojciech Kotłowski, Roman Słowiński, Marcin Szeląg
  Foundations of Computing and Decision Sciences, 2006
  
• Measures of monotone relationships using dominance-based rough set approach (DRSA)
  Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
  Workshop on Complex Systems Modeling (CSM), 2006
  

Theses

• Statistical Approach to Ordinal Classification with Monotonicity Constraints
  Wojciech Kotłowski
  Ph.D. Thesis. Poznan University of Technology, 2009>
  
• System indukcji reguł gradualnych z danych porządkowych o powiązaniach monotonicznych między częścią warunkową a decyzyjną
  Wojciech Kotłowski
  M.Sc. Thesis, Computer Science. Poznan University of Technology, 2004
  
• Splątanie w procesie generacji drugiej harmonicznej przy obecności nieliniowości Kerra
  Wojciech Kotłowski
  M.Sc. Thesis, Physics. Adam Mickiewicz University, 2006
  

Software

• MLRules (maximum likelihood rule ensembles)
• RegEnder (regression ensemble of decision rule)

BibTeX source for citation.

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