Wojciech Kotlowski

According to our database, Wojciech Kotlowski authored at least 62 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Noise misleads rotation invariant algorithms on sparse targets.

Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid

CoRR, 2024

Consistent algorithms for multi-label classification with macro-at-k metrics.

Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski

CoRR, 2024

2023

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf 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

CoRR, 2023

Generalized test utilities for long-tail performance in extreme multi-label classification.

Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning from Randomly Initialized Neural Network Features.

Ehsan Amid, Rohan Anil, Wojciech Kotlowski, Manfred K. Warmuth

CoRR, 2022

2021

Robust Online Convex Optimization in the Presence of Outliers.

Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski

Proceedings of the Conference on Learning Theory, 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 Kotlowski, Ehsan Amid

Proceedings of the Algorithmic Learning Theory, 2021

2020

Scale-invariant unconstrained online learning.

Wojciech Kotlowski

Theor. Comput. Sci., 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

Open Problem: Fast and Optimal Online Portfolio Selection.

Tim van Erven, Dirk van der Hoeven, Wojciech Kotlowski, Wouter M. Koolen

Proceedings of the Conference on Learning Theory, 2020

Learning to Crawl.

Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adaptive Scale-Invariant Online Algorithms for Learning Linear Models.

Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth

Proceedings of the 36th International Conference on Machine Learning, 2019

Bandit Principal Component Analysis.

Wojciech Kotlowski, Gergely Neu

Proceedings of the Conference on Learning Theory, 2019

2018

On minimaxity of Follow the Leader strategy in the stochastic setting.

Wojciech Kotlowski

Theor. Comput. Sci., 2018

Online Principal Component Analysis for Evolving Data Streams.

Monika Grabowska, Wojciech Kotlowski

Proceedings of the Computer and Information Sciences - 32nd International Symposium, 2018

The Many Faces of Exponential Weights in Online Learning.

Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski

Proceedings of the Conference On Learning Theory, 2018

2017

Surrogate regret bounds for generalized classification performance metrics.

Wojciech Kotlowski, Krzysztof Dembczynski

Mach. Learn., 2017

Random Permutation Online Isotonic Regression.

Wojciech Kotlowski, Wouter M. Koolen, Alan Malek

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Consistency Analysis for Binary Classification Revisited.

Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Online PCA with Optimal Regret.

Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth

J. Mach. Learn. Res., 2016

Online Isotonic Regression.

Wojciech Kotlowski, Wouter M. Koolen, Alan Malek

CoRR, 2016

Consistency of Probabilistic Classifier Trees.

Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Isotonic Regression.

Wojciech Kotlowski

Proceedings of the 29th Conference on Learning Theory, 2016

2015

PCA with Gaussian perturbations.

Wojciech Kotlowski, Manfred K. Warmuth

CoRR, 2015

2014

Kernelization of matrix updates, when and how?

Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou

Theor. Comput. Sci., 2014

Consistent optimization of AMS by logistic loss minimization.

Wojciech Kotlowski

Proceedings of the Workshop on High-energy Physics and Machine Learning, 2014

Follow the Leader with Dropout Perturbations.

Tim van Erven, Wojciech Kotlowski

Proceedings of The 27th Conference on Learning Theory, 2014

2013

On Nonparametric Ordinal Classification with Monotonicity Constraints.

Wojciech Kotlowski, Roman Slowinski

IEEE Trans. Knowl. Data Eng., 2013

On-line PCA with Optimal Regrets.

Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth

CoRR, 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

Proceedings of the 30th International Conference on Machine Learning, 2013

Matrix Factorization for Travel Time Estimation in Large Traffic Networks.

Krzysztof Dembczynski, Wojciech Kotlowski, Przemyslaw Gawel, Adam Szarecki, Andrzej Jaszkiewicz

Proceedings of the Artificial Intelligence and Soft Computing, 2013

Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families.

Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski

Proceedings of the COLT 2013, 2013

Online PCA with Optimal Regrets.

Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth

Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

2012

Sequential normalized maximum likelihood in log-loss prediction.

Wojciech Kotlowski, Peter Grünwald

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Consistent Multilabel Ranking through Univariate Losses.

Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier

Proceedings of the 29th International Conference on Machine Learning, 2012

Community Traffic: A Technology for the Next Generation Car Navigation.

Przemyslaw Gawel, Krzysztof Dembczynski, Wojciech Kotlowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz

Proceedings of the New Trends in Databases and Information Systems, 2012

2011

Minimax Algorithm for Learning Rotations.

Wojciech Kotlowski, Manfred K. Warmuth

Proceedings of the COLT 2011, 2011

Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation.

Wojciech Kotlowski, Peter Grünwald

Proceedings of the COLT 2011, 2011

Bounds on Individual Risk for Log-loss Predictors.

Peter D. Grünwald, Wojciech Kotlowski

Proceedings of the COLT 2011, 2011

Learning Eigenvectors for Free.

Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Bipartite Ranking through Minimization of Univariate Loss.

Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Beyond Sequential Covering - Boosted Decision Rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

ENDER: a statistical framework for boosting decision rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Data Min. Knowl. Discov., 2010

Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong.

Peter Grunwald, Wojciech Kotlowski

Proceedings of the IEEE International Symposium on Information Theory, 2010

Following the Flattened Leader.

Wojciech Kotlowski, Peter Grünwald, Steven de Rooij

Proceedings of the COLT 2010, 2010

Learning of Rule Ensembles for Multiple Attribute Ranking Problems.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag

Proceedings of the Preference Learning., 2010

2009

Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Fundam. Informaticae, 2009

Rule learning with monotonicity constraints.

Wojciech Kotlowski, Roman Slowinski

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Stochastic dominance-based rough set model for ordinal classification.

Wojciech Kotlowski, Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski

Inf. Sci., 2008

Effective Prediction of Web User Behaviour with User-Level Models.

Krzysztof Dembczynski, Wojciech Kotlowski, Marcin Sydow

Fundam. Informaticae, 2008

Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Maximum likelihood rule ensembles.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Machine Learning, 2008

Solving Regression by Learning an Ensemble of Decision Rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Artificial Intelligence and Soft Computing, 2008

On selecting the best individual in noisy environments.

Wojciech Jaskowski, Wojciech Kotlowski

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Optimized Generalized Decision in Dominance-Based Rough Set Approach.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Relationship Between Loss Functions and Confirmation Measures.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets, 2007

Statistical Model for Rough Set Approach to Multicriteria Classification.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Ordinal Classification with Decision Rules.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

2006

Quality of Rough Approximation in Multi-criteria Classification Problems.

Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Rough Sets and Current Trends in Computing, 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

Proceedings of the Rough Sets and Current Trends in Computing, 2006

Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations.

Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods.

Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski

Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006