Wojciech Kotlowski

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 34

Top Topics

Principal Component Analysis

Online Convex Optimization

Top Venues

Theor. Comput. Sci.

Publications

Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
Consistent algorithms for multi-label classification with macro-at-k metrics. ICLR (2024)
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
Consistent algorithms for multi-label classification with macro-at-k metrics. CoRR (2024)
Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid
Noise misleads rotation invariant algorithms on sparse targets. CoRR (2024)
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski
A General Online Algorithm for Optimizing Complex Performance Metrics. CoRR (2024)
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
Generalized test utilities for long-tail performance in extreme multi-label classification. CoRR (2023)
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
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR (2023)
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
Generalized test utilities for long-tail performance in extreme multi-label classification. NeurIPS (2023)
Ehsan Amid, Rohan Anil, Wojciech Kotlowski, Manfred K. Warmuth
Learning from Randomly Initialized Neural Network Features. CoRR (2022)
Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski
Robust Online Convex Optimization in the Presence of Outliers. CoRR (2021)
Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski
Robust Online Convex Optimization in the Presence of Outliers. COLT (2021)
Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer. ALT (2021)
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
Learning to Crawl. AAAI (2020)
Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer. CoRR (2020)
Tim van Erven, Dirk van der Hoeven, Wojciech Kotlowski, Wouter M. Koolen
Open Problem: Fast and Optimal Online Portfolio Selection. COLT (2020)
Wojciech Kotlowski
Scale-invariant unconstrained online learning. Theor. Comput. Sci. 808 (2020)
Wojciech Kotlowski, Gergely Neu
Bandit Principal Component Analysis. COLT (2019)
Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth
Adaptive scale-invariant online algorithms for learning linear models. CoRR (2019)
Wojciech Kotlowski, Gergely Neu
Bandit Principal Component Analysis. CoRR (2019)
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
Learning to Crawl. CoRR (2019)
Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models. ICML (2019)
Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski
The Many Faces of Exponential Weights in Online Learning. COLT (2018)
Wojciech Kotlowski
On minimaxity of Follow the Leader strategy in the stochastic setting. Theor. Comput. Sci. 742 (2018)
Monika Grabowska, Wojciech Kotlowski
Online Principal Component Analysis for Evolving Data Streams. ISCIS (2018)
Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski
The Many Faces of Exponential Weights in Online Learning. CoRR (2018)
Wojciech Kotlowski, Krzysztof Dembczynski
Surrogate regret bounds for generalized classification performance metrics. Mach. Learn. 106 (4) (2017)
Wojciech Kotlowski
Scale-invariant unconstrained online learning. CoRR (2017)
Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
Consistency Analysis for Binary Classification Revisited. ICML (2017)
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
Random Permutation Online Isotonic Regression. NIPS (2017)
Wojciech Kotlowski
Scale-Invariant Unconstrained Online Learning. ALT (2017)
Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
Consistency of Probabilistic Classifier Trees. ECML/PKDD (2) (2016)
Wojciech Kotlowski
Online Isotonic Regression. COLT (2016)
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
Online PCA with Optimal Regret. J. Mach. Learn. Res. 17 (2016)
Wojciech Kotlowski
On Minimaxity of Follow the Leader Strategy in the Stochastic Setting. ALT (2016)
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
Online Isotonic Regression. CoRR (2016)
Wojciech Kotlowski, Manfred K. Warmuth
PCA with Gaussian perturbations. CoRR (2015)
Wojciech Kotlowski, Krzysztof Dembczynski
Surrogate regret bounds for generalized classification performance metrics. CoRR (2015)
Wojciech Kotlowski, Krzysztof Dembczynski
Surrogate regret bounds for generalized classification performance metrics. ACML (2015)
Tim van Erven, Wojciech Kotlowski
Follow the Leader with Dropout Perturbations. COLT (2014)
Wojciech Kotlowski
Consistent optimization of AMS by logistic loss minimization. HEPML@NIPS (2014)
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
Kernelization of matrix updates, when and how? Theor. Comput. Sci. 558 (2014)
Wojciech Kotlowski
Consistent optimization of AMS by logistic loss minimization. CoRR (2014)
Krzysztof Dembczynski, Wojciech Kotlowski, Przemyslaw Gawel, Adam Szarecki, Andrzej Jaszkiewicz
Matrix Factorization for Travel Time Estimation in Large Traffic Networks. ICAISC (2) (2013)
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Hüllermeier
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. ICML (3) (2013)
Peter L. Bartlett, Peter Grunwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families CoRR (2013)
Wojciech Kotlowski, Roman Slowinski
On Nonparametric Ordinal Classification with Monotonicity Constraints. IEEE Trans. Knowl. Data Eng. 25 (11) (2013)
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
Online PCA with Optimal Regrets. ALT (2013)
Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families. COLT (2013)
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
On-line PCA with Optimal Regrets. CoRR (2013)
Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier
Consistent Multilabel Ranking through Univariate Losses. ICML (2012)
Wojciech Kotlowski, Peter Grünwald
Sequential normalized maximum likelihood in log-loss prediction. ITW (2012)
Przemyslaw Gawel, Krzysztof Dembczynski, Wojciech Kotlowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz
Community Traffic: A Technology for the Next Generation Car Navigation. ADBIS Workshops (2012)
Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou
Kernelization of Matrix Updates, When and How? ALT (2012)
Wojciech Kotlowski, Peter Grünwald
Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation. COLT (2011)
Peter D. Grünwald, Wojciech Kotlowski
Bounds on Individual Risk for Log-loss Predictors. COLT (2011)
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth
Learning Eigenvectors for Free. NIPS (2011)
Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier
Bipartite Ranking through Minimization of Univariate Loss. ICML (2011)
Wojciech Kotlowski, Manfred K. Warmuth
Minimax Algorithm for Learning Rotations. COLT (2011)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
ENDER: a statistical framework for boosting decision rules. Data Min. Knowl. Discov. 21 (1) (2010)
Peter Grunwald, Wojciech Kotlowski
Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong. ISIT (2010)
Wojciech Kotlowski, Peter Grünwald, Steven de Rooij
Following the Flattened Leader. COLT (2010)
Peter Grünwald, Wojciech Kotlowski
Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong CoRR (2010)
Wojciech Kotlowski, Roman Slowinski
Rule learning with monotonicity constraints. ICML (2009)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints. Fundam. Informaticae 94 (2) (2009)
Wojciech Kotlowski, Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski
Stochastic dominance-based rough set model for ordinal classification. Inf. Sci. 178 (21) (2008)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints. RSKT (2008)
Krzysztof Dembczynski, Wojciech Kotlowski, Marcin Sydow
Effective Prediction of Web User Behaviour with User-Level Models. Fundam. Informaticae 89 (2-3) (2008)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Maximum likelihood rule ensembles. ICML (2008)
Wojciech Jaskowski, Wojciech Kotlowski
On selecting the best individual in noisy environments. GECCO (2008)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Solving Regression by Learning an Ensemble of Decision Rules. ICAISC (2008)
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
Optimized Generalized Decision in Dominance-Based Rough Set Approach. RSKT (2007)
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
Relationship Between Loss Functions and Confirmation Measures. RSFDGrC (2007)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Ordinal Classification with Decision Rules. MCD (2007)
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
Statistical Model for Rough Set Approach to Multicriteria Classification. PKDD (2007)
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag
Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values. RSCTC (2006)
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods. DaWaK (2006)
Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski
Quality of Rough Approximation in Multi-criteria Classification Problems. RSCTC (2006)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations. ICAISC (2006)