Dembczynski, Krzysztof

26 publications

AISTATS 2025 Optimal Downsampling for Imbalanced Classification with Generalized Linear Models Yan Chen, Jose Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron Eliasib Flores

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

ICLR 2024 Consistent Algorithms for Multi-Label Classification with Macro-at-$k$ Metrics Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski

UAI 2022 Set-Valued Prediction in Hierarchical Classification with Constrained Representation Complexity Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczyński, Willem Waegeman

AISTATS 2021 Online Probabilistic Label Trees Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski

NeurIPS 2018 A No-Regret Generalization of Hierarchical SoftMax to Extreme Multi-Label Classification Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski

ECML-PKDD 2018 Deep F-Measure Maximization in Multi-Label Classification: A Comparative Study Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman

ICML 2017 Consistency Analysis for Binary Classification Revisited Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan

MLJ 2017 Surrogate Regret Bounds for Generalized Classification Performance Metrics Wojciech Kotlowski, Krzysztof Dembczynski

ECML-PKDD 2016 Consistency of Probabilistic Classifier Trees Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier

ICML 2016 Extreme F-Measure Maximization Using Sparse Probability Estimates Kalina Jasinska, Krzysztof Dembczynski, Robert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hullermeier

NeurIPS 2015 Online F-Measure Optimization Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier

ACML 2015 Surrogate Regret Bounds for Generalized Classification Performance Metrics Wojciech Kotlowski, Krzysztof Dembczyński

JMLR 2014 On the Bayes-Optimality of F-Measure Maximizers Willem Waegeman, Krzysztof Dembczyński, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier

ICML 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 Huellermeier

ICML 2012 Consistent Multilabel Ranking Through Univariate Losses Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier

MLJ 2012 Learning Monotone Nonlinear Models Using the Choquet Integral Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

MLJ 2012 On Label Dependence and Loss Minimization in Multi-Label Classification Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier

ICML 2011 Bipartite Ranking Through Minimization of Univariate Loss Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier

ECML-PKDD 2011 Learning Monotone Nonlinear Models Using the Choquet Integral Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

ICML 2010 Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier

ICML 2010 Graded Multilabel Classification: The Ordinal Case Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

ICML 2010 Label Ranking Methods Based on the Plackett-Luce Model Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier

ECML-PKDD 2010 Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier

ICML 2008 Maximum Likelihood Rule Ensembles Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

ECML-PKDD 2007 Ordinal Classification with Decision Rules Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski