Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods. - Jerzy Blaszczynski; Krzysztof Dembczynski; Wojciech Kotlowski; Mariusz Pawlowski (DaWaK, 2006)

Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (ICAISC, 2006)

Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values. - Jerzy Blaszczynski; Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski; Marcin Szelag (RSCTC, 2006)

Quality of Rough Approximation in Multi-criteria Classification Problems. - Krzysztof Dembczynski; Salvatore Greco; Wojciech Kotlowski; Roman Slowinski (RSCTC, 2006)

Ordinal Classification with Decision Rules. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (MCD, 2007)

Statistical Model for Rough Set Approach to Multicriteria Classification. - Krzysztof Dembczynski; Salvatore Greco; Wojciech Kotlowski; Roman Slowinski (PKDD, 2007)

Relationship Between Loss Functions and Confirmation Measures. - Krzysztof Dembczynski; Salvatore Greco; Wojciech Kotlowski; Roman Slowinski (RSFDGrC, 2007)

Optimized Generalized Decision in Dominance-Based Rough Set Approach. - Krzysztof Dembczynski; Salvatore Greco; Wojciech Kotlowski; Roman Slowinski (RSKT, 2007)

On selecting the best individual in noisy environments. - Wojciech Jaskowski; Wojciech Kotlowski (GECCO, 2008)

Solving Regression by Learning an Ensemble of Decision Rules. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (ICAISC, 2008)

Maximum likelihood rule ensembles. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (ICML, 2008)

Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (RSKT, 2008)

Effective Prediction of Web User Behaviour with User-Level Models. - Krzysztof Dembczynski; Wojciech Kotlowski; Marcin Sydow (Fundam. Informaticae, 2008)

Stochastic dominance-based rough set model for ordinal classification. - Wojciech Kotlowski; Krzysztof Dembczynski; Salvatore Greco; Roman Slowinski (Inf. Sci., 2008)

Rule learning with monotonicity constraints. - Wojciech Kotlowski; Roman Slowinski (ICML, 2009)

Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (Fundam. Informaticae, 2009)

Learning of Rule Ensembles for Multiple Attribute Ranking Problems. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski; Marcin Szelag (Preference Learning, 2010)

Following the Flattened Leader. - Wojciech Kotlowski; Peter Grünwald; Steven de Rooij (COLT, 2010)

Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong. - Peter Grunwald; Wojciech Kotlowski (ISIT, 2010)

ENDER: a statistical framework for boosting decision rules. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (Data Min. Knowl. Discov., 2010)

Beyond Sequential Covering - Boosted Decision Rules. - Krzysztof Dembczynski; Wojciech Kotlowski; Roman Slowinski (Advances in Machine Learning I, 2010)

Bipartite Ranking through Minimization of Univariate Loss. - Wojciech Kotlowski; Krzysztof Dembczynski; Eyke Hüllermeier (ICML, 2011)

Learning Eigenvectors for Free. - Wouter M. Koolen; Wojciech Kotlowski; Manfred K. Warmuth (NIPS, 2011)

Bounds on Individual Risk for Log-loss Predictors. - Peter D. Grünwald; Wojciech Kotlowski (COLT, 2011)

Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation. - Wojciech Kotlowski; Peter Grünwald (COLT, 2011)

Minimax Algorithm for Learning Rotations. - Wojciech Kotlowski; Manfred K. Warmuth (COLT, 2011)

Community Traffic: A Technology for the Next Generation Car Navigation. - Przemyslaw Gawel; Krzysztof Dembczynski; Wojciech Kotlowski; Marek Kubiak; Robert Susmaga; Piotr Zielniewicz; Andrzej Jaszkiewicz (ADBIS Workshops, 2012)

Consistent Multilabel Ranking through Univariate Losses. - Krzysztof Dembczynski; Wojciech Kotlowski; Eyke Hüllermeier (ICML, 2012)

Sequential normalized maximum likelihood in log-loss prediction. - Wojciech Kotlowski; Peter Grünwald (ITW, 2012)

Online PCA with Optimal Regrets. - Jiazhong Nie; Wojciech Kotlowski; Manfred K. Warmuth (ALT, 2013)

Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families. - Peter L. Bartlett; Peter Grünwald; Peter Harremoës; Fares Hedayati; Wojciech Kotlowski (COLT, 2013)

Matrix Factorization for Travel Time Estimation in Large Traffic Networks. - Krzysztof Dembczynski; Wojciech Kotlowski; Przemyslaw Gawel; Adam Szarecki; Andrzej Jaszkiewicz (ICAISC (2), 2013)

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. - Krzysztof Dembczynski; Arkadiusz Jachnik; Wojciech Kotlowski; Willem Waegeman; Eyke Hüllermeier (ICML (3), 2013)

On-line PCA with Optimal Regrets. - Jiazhong Nie; Wojciech Kotlowski; Manfred K. Warmuth (CoRR, 2013)

On Nonparametric Ordinal Classification with Monotonicity Constraints. - Wojciech Kotlowski; Roman Slowinski (IEEE Trans. Knowl. Data Eng., 2013)

Follow the Leader with Dropout Perturbations. - Tim van Erven; Wojciech Kotlowski (COLT, 2014)

Consistent optimization of AMS by logistic loss minimization. - Wojciech Kotlowski (HEPML@NIPS, 2014)

Kernelization of matrix updates, when and how? - Manfred K. Warmuth; Wojciech Kotlowski; Shuisheng Zhou (Theor. Comput. Sci., 2014)

PCA with Gaussian perturbations. - Wojciech Kotlowski; Manfred K. Warmuth (CoRR, 2015)

Online Isotonic Regression. - Wojciech Kotlowski (COLT, 2016)

Consistency of Probabilistic Classifier Trees. - Krzysztof Dembczynski; Wojciech Kotlowski; Willem Waegeman; Róbert Busa-Fekete; Eyke Hüllermeier (ECML/PKDD (2), 2016)

Online Isotonic Regression. - Wojciech Kotlowski; Wouter M. Koolen; Alan Malek (CoRR, 2016)

Online PCA with Optimal Regret. - Jiazhong Nie; Wojciech Kotlowski; Manfred K. Warmuth (J. Mach. Learn. Res., 2016)

Consistency Analysis for Binary Classification Revisited. - Krzysztof Dembczynski; Wojciech Kotlowski; Oluwasanmi Koyejo; Nagarajan Natarajan (ICML, 2017)

Random Permutation Online Isotonic Regression. - Wojciech Kotlowski; Wouter M. Koolen; Alan Malek (NIPS, 2017)

Surrogate regret bounds for generalized classification performance metrics. - Wojciech Kotlowski; Krzysztof Dembczynski (Mach. Learn., 2017)

The Many Faces of Exponential Weights in Online Learning. - Dirk van der Hoeven; Tim van Erven; Wojciech Kotlowski (COLT, 2018)

Online Principal Component Analysis for Evolving Data Streams. - Monika Grabowska; Wojciech Kotlowski (ISCIS, 2018)

On minimaxity of Follow the Leader strategy in the stochastic setting. - Wojciech Kotlowski (Theor. Comput. Sci., 2018)

Bandit Principal Component Analysis. - Wojciech Kotlowski; Gergely Neu (COLT, 2019)

Adaptive Scale-Invariant Online Algorithms for Learning Linear Models. - Michal Kempka; Wojciech Kotlowski; Manfred K. Warmuth (ICML, 2019)

Learning to Crawl. - Utkarsh Upadhyay; Róbert Busa-Fekete; Wojciech Kotlowski; Dávid Pál; Balázs Szörényi (AAAI, 2020)

Open Problem: Fast and Optimal Online Portfolio Selection. - Tim van Erven; Dirk van der Hoeven; Wojciech Kotlowski; Wouter M. Koolen (COLT, 2020)

A case where a spindly two-layer linear network whips any neural network with a fully connected input layer. - Manfred K. Warmuth; Wojciech Kotlowski; Ehsan Amid (CoRR, 2020)

Scale-invariant unconstrained online learning. - Wojciech Kotlowski (Theor. Comput. Sci., 2020)

A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer. - Manfred K. Warmuth; Wojciech Kotlowski; Ehsan Amid (ALT, 2021)

Robust Online Convex Optimization in the Presence of Outliers. - Tim van Erven; Sarah Sachs; Wouter M. Koolen; Wojciech Kotlowski (COLT, 2021)

Learning from Randomly Initialized Neural Network Features. - Ehsan Amid; Rohan Anil; Wojciech Kotlowski; Manfred K. Warmuth (CoRR, 2022)

Generalized test utilities for long-tail performance in extreme multi-label classification. - Erik Schultheis; Marek Wydmuch; Wojciech Kotlowski; Rohit Babbar; Krzysztof Dembczynski (NeurIPS, 2023)

Consistent algorithms for multi-label classification with macro-at-k metrics. - Erik Schultheis; Wojciech Kotlowski; Marek Wydmuch; Rohit Babbar; Strom Borman; Krzysztof Dembczynski (ICLR, 2024)

A General Online Algorithm for Optimizing Complex Performance Metrics. - Wojciech Kotlowski; Marek Wydmuch; Erik Schultheis; Rohit Babbar; Krzysztof Dembczynski (ICML, 2024)

Noise misleads rotation invariant algorithms on sparse targets. - Manfred K. Warmuth; Wojciech Kotlowski; Matt Jones 002; Ehsan Amid (CoRR, 2024)

How rotation invariant algorithms are fooled by noise on sparse targets. - Manfred K. Warmuth; Wojciech Kotlowski; Matt Jones 002; Ehsan Amid (ALT, 2025)

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. - Mathieu Chevalley; Jacob Sackett-Sanders; Yusuf H. Roohani; Pascal Notin; Artemy Bakulin; Dariusz Brzezinski; Kaiwen Deng; Yuanfang Guan; Justin Hong; Michael Ibrahim 003; Wojciech Kotlowski; Marcin Kowiel; et al. (CLeaR, 2025)

Efficient annotation bootstrapping for cell identification in follicular lymphoma. - Adam Krawczyk; Aleksandra Maria Osowska-Kurczab; Slawomir Pakulo; Wojciech Kotlowski; Zaneta Swiderska-Chadaj (Comput. Methods Programs Biomed., 2025)

Confidence Sequences for Generalized Linear Models via Regret Analysis. - Eugenio Clerico; Hamish Flynn; Wojciech Kotlowski; Gergely Neu (CoRR, 2025)