Wojciech Kotlowski

86 papers A* 21A 1B 9C 1Misc 2Journal 34Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Small molecule retrieval from tandem mass spectrometry: what are we optimizing for?
CoRR
Gaetan De Waele, Marek Wydmuch, Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman
2025 J jnl
Confidence Sequences for Generalized Linear Models via Regret Analysis.
CoRR
Eugenio Clerico, Hamish Flynn, Wojciech Kotlowski, Gergely Neu
2025 J jnl
Efficient annotation bootstrapping for cell identification in follicular lymphoma.
Comput. Methods Programs Biomed.
Adam Krawczyk, Aleksandra Maria Osowska-Kurczab, Slawomir Pakulo, Wojciech Kotlowski, Zaneta Swiderska-Chadaj
2025 B conf
How rotation invariant algorithms are fooled by noise on sparse targets.
ALT
Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid
2025 J jnl
Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guarantees.
Eur. J. Oper. Res.
Marco Grillo, Wojciech Kotlowski, Milosz Kadzinski
2025 — conf
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CLeaR
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
2024 A* conf
A General Online Algorithm for Optimizing Complex Performance Metrics.
ICML
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski
2024 J jnl
A General Online Algorithm for Optimizing Complex Performance Metrics.
CoRR
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski
2024 A* conf
Consistent algorithms for multi-label classification with macro-at-k metrics.
ICLR
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
2024 J jnl
Consistent algorithms for multi-label classification with macro-at-k metrics.
CoRR
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
2024 J jnl
Noise misleads rotation invariant algorithms on sparse targets.
CoRR
Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid
2023 A* conf
Generalized test utilities for long-tail performance in extreme multi-label classification.
NeurIPS
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
2023 J jnl
Generalized test utilities for long-tail performance in extreme multi-label classification.
CoRR
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
2023 J jnl
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CoRR
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab
2022 J jnl
Learning from Randomly Initialized Neural Network Features.
CoRR
Ehsan Amid, Rohan Anil, Wojciech Kotlowski, Manfred K. Warmuth
2021 B conf
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer.
ALT
Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid
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 J jnl
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer.
CoRR
Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid
2020 A* conf
Learning to Crawl.
AAAI
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
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
Scale-invariant unconstrained online learning.
Theor. Comput. Sci.
Wojciech Kotlowski
2019 A* conf
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models.
ICML
Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth
2019 J jnl
Adaptive scale-invariant online algorithms for learning linear models.
CoRR
Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth
2019 A* conf
Bandit Principal Component Analysis.
COLT
Wojciech Kotlowski, Gergely Neu
2019 J jnl
Bandit Principal Component Analysis.
CoRR
Wojciech Kotlowski, Gergely Neu
2019 J jnl
Learning to Crawl.
CoRR
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2018 J jnl
On minimaxity of Follow the Leader strategy in the stochastic setting.
Theor. Comput. Sci.
Wojciech Kotlowski
2018 — conf
Online Principal Component Analysis for Evolving Data Streams.
ISCIS
Monika Grabowska, Wojciech Kotlowski
2018 A* conf
The Many Faces of Exponential Weights in Online Learning.
COLT
Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski
2018 J jnl
The Many Faces of Exponential Weights in Online Learning.
CoRR
Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski
2017 A* conf
Consistency Analysis for Binary Classification Revisited.
ICML
Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 — conf
Random Permutation Online Isotonic Regression.
NIPS
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
2017 B conf
Scale-Invariant Unconstrained Online Learning.
ALT
Wojciech Kotlowski
2017 J jnl
Scale-invariant unconstrained online learning.
CoRR
Wojciech Kotlowski
2017 J jnl
Surrogate regret bounds for generalized classification performance metrics.
Mach. Learn.
Wojciech Kotlowski, Krzysztof Dembczynski
2016 — conf
Consistency of Probabilistic Classifier Trees.
ECML/PKDD (2)
Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
2016 B conf
On Minimaxity of Follow the Leader Strategy in the Stochastic Setting.
ALT
Wojciech Kotlowski
2016 A* conf
Online Isotonic Regression.
COLT
Wojciech Kotlowski
2016 J jnl
Online Isotonic Regression.
CoRR
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
2016 J jnl
Online PCA with Optimal Regret.
J. Mach. Learn. Res.
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
2015 J jnl
PCA with Gaussian perturbations.
CoRR
Wojciech Kotlowski, Manfred K. Warmuth
2015 C conf
Surrogate regret bounds for generalized classification performance metrics.
ACML
Wojciech Kotlowski, Krzysztof Dembczynski
2015 J jnl
Surrogate regret bounds for generalized classification performance metrics.
CoRR
Wojciech Kotlowski, Krzysztof Dembczynski
2014 — conf
Consistent optimization of AMS by logistic loss minimization.
HEPML@NIPS
Wojciech Kotlowski
2014 J jnl
Consistent optimization of AMS by logistic loss minimization.
CoRR
Wojciech Kotlowski
2014 A* conf
Follow the Leader with Dropout Perturbations.
COLT
Tim van Erven, Wojciech Kotlowski
2014 J jnl
Kernelization of matrix updates, when and how?
Theor. Comput. Sci.
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
2013 J jnl
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
CoRR
Peter L. Bartlett, Peter Grunwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski
2013 A* conf
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families.
COLT
Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski
2013 — conf
Matrix Factorization for Travel Time Estimation in Large Traffic Networks.
ICAISC (2)
Krzysztof Dembczynski, Wojciech Kotlowski, Przemyslaw Gawel, Adam Szarecki, Andrzej Jaszkiewicz
2013 J jnl
On Nonparametric Ordinal Classification with Monotonicity Constraints.
IEEE Trans. Knowl. Data Eng.
Wojciech Kotlowski, Roman Slowinski
2013 J jnl
On-line PCA with Optimal Regrets.
CoRR
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
2013 B conf
Online PCA with Optimal Regrets.
ALT
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
2013 — conf
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.
ICML (3)
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Hüllermeier
2012 — conf
Community Traffic: A Technology for the Next Generation Car Navigation.
ADBIS Workshops
Przemyslaw Gawel, Krzysztof Dembczynski, Wojciech Kotlowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz
2012 A* conf
Consistent Multilabel Ranking through Univariate Losses.
ICML
Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier
2012 B conf
Kernelization of Matrix Updates, When and How?
ALT
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
2012 B conf
Sequential normalized maximum likelihood in log-loss prediction.
ITW
Wojciech Kotlowski, Peter Grünwald
2011 A* conf
Bipartite Ranking through Minimization of Univariate Loss.
ICML
Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier
2011 A* conf
Bounds on Individual Risk for Log-loss Predictors.
COLT
Peter D. Grünwald, Wojciech Kotlowski
2011 — conf
Learning Eigenvectors for Free.
NIPS
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
2011 A* conf
Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation.
COLT
Wojciech Kotlowski, Peter Grünwald
2011 A* conf
Minimax Algorithm for Learning Rotations.
COLT
Wojciech Kotlowski, Manfred K. Warmuth
2010 — ch.
Beyond Sequential Covering - Boosted Decision Rules.
Advances in Machine Learning I
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2010 J jnl
ENDER: a statistical framework for boosting decision rules.
Data Min. Knowl. Discov.
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2010 A* conf
Following the Flattened Leader.
COLT
Wojciech Kotlowski, Peter Grünwald, Steven de Rooij
2010 — ch.
Learning of Rule Ensembles for Multiple Attribute Ranking Problems.
Preference Learning
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag
2010 J jnl
Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong
CoRR
Peter Grünwald, Wojciech Kotlowski
2010 B conf
Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong.
ISIT
Peter Grunwald, Wojciech Kotlowski
2009 J jnl
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints.
Fundam. Informaticae
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2009 A* conf
Rule learning with monotonicity constraints.
ICML
Wojciech Kotlowski, Roman Slowinski
2008 J jnl
Effective Prediction of Web User Behaviour with User-Level Models.
Fundam. Informaticae
Krzysztof Dembczynski, Wojciech Kotlowski, Marcin Sydow
2008 — conf
Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints.
RSKT
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2008 A* conf
Maximum likelihood rule ensembles.
ICML
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2008 A conf
On selecting the best individual in noisy environments.
GECCO
Wojciech Jaskowski, Wojciech Kotlowski
2008 Misc conf
Solving Regression by Learning an Ensemble of Decision Rules.
ICAISC
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2008 J jnl
Stochastic dominance-based rough set model for ordinal classification.
Inf. Sci.
Wojciech Kotlowski, Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski
2007 — conf
Optimized Generalized Decision in Dominance-Based Rough Set Approach.
RSKT
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
2007 — conf
Ordinal Classification with Decision Rules.
MCD
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2007 — conf
Relationship Between Loss Functions and Confirmation Measures.
RSFDGrC
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
2007 — conf
Statistical Model for Rough Set Approach to Multicriteria Classification.
PKDD
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
2006 Misc conf
Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations.
ICAISC
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2006 — conf
Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values.
RSCTC
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag
2006 B conf
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods.
DaWaK
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski
2006 — conf
Quality of Rough Approximation in Multi-criteria Classification Problems.
RSCTC
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski