Krzysztof Dembczynski

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 33

Top Topics

Relational Models

Binary Classification

Top Venues

Data Min. Knowl. Discov.

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)
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)
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
Generalized test utilities for long-tail performance in extreme multi-label classification. NeurIPS (2023)
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
Set-valued prediction in hierarchical classification with constrained representation complexity. UAI (2022)
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. CoRR (2022)
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
Set-valued prediction in hierarchical classification with constrained representation complexity. CoRR (2022)
Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi
Regret Bounds for Multilabel Classification in Sparse Label Regimes. NeurIPS (2022)
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification. KDD (2022)
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
Propensity-scored Probabilistic Label Trees. CoRR (2021)
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
Efficient set-valued prediction in multi-class classification. Data Min. Knowl. Discov. 35 (4) (2021)
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
Propensity-scored Probabilistic Label Trees. SIGIR (2021)
Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
Online probabilistic label trees. AISTATS (2021)
Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete
Probabilistic Label Trees for Extreme Multi-label Classification. CoRR (2020)
Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
Online probabilistic label trees. CoRR (2020)
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
Set-Valued Prediction in Multi-Class Classification. BNAIC/BENELEARN (2019)
Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu
On the computational complexity of the probabilistic label tree algorithms. CoRR (2019)
Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification. CoRR (2019)
Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier
Multi-target prediction: a unifying view on problems and methods. Data Min. Knowl. Discov. 33 (2) (2019)
Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma
Extreme Classification (Dagstuhl Seminar 18291). Dagstuhl Reports 8 (7) (2018)
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
A no-regret generalization of hierarchical softmax to extreme multi-label classification. CoRR (2018)
Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski
Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. WWW (Companion Volume) (2018)
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
A no-regret generalization of hierarchical softmax to extreme multi-label classification. NeurIPS (2018)
Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study. ECML/PKDD (1) (2018)
Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier
Multi-Target Prediction: A Unifying View on Problems and Methods. CoRR (2018)
Wojciech Kotlowski, Krzysztof Dembczynski
Surrogate regret bounds for generalized classification performance metrics. Mach. Learn. 106 (4) (2017)
Ralph Ewerth, Matthias Springstein, Eric Müller, Alexander Balz, Jan Gehlhaar, Tolga Naziyok, Krzysztof Dembczynski, Eyke Hüllermeier
Estimating relative depth in single images via rankboost. ICME (2017)
Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
Consistency Analysis for Binary Classification Revisited. ICML (2017)
Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models. Data Min. Knowl. Discov. 30 (5) (2016)
Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
Consistency of Probabilistic Classifier Trees. ECML/PKDD (2) (2016)
Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier
Extreme F-measure Maximization using Sparse Probability Estimates. ICML (2016)
Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models. CoRR (2016)
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier
Online F-Measure Optimization. NIPS (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)
Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier
On the bayes-optimality of F-measure maximizers. J. Mach. Learn. Res. 15 (1) (2014)
Robin Senge, Stefan Bösner, Krzysztof Dembczynski, Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Inf. Sci. 255 (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)
Willem Waegeman, Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier
On the Bayes-optimality of F-measure maximizers. CoRR (2013)
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman
F-Measure Maximization in Topical Classification. RSCTC (2012)
Krzysztof Dembczynski, Willem Waegeman, Eyke Hüllermeier
An Analysis of Chaining in Multi-Label Classification. ECAI (2012)
Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier
Consistent Multilabel Ranking through Univariate Losses. ICML (2012)
Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
On label dependence and loss minimization in multi-label classification. Mach. Learn. 88 (1-2) (2012)
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
Learning monotone nonlinear models using the Choquet integral. Mach. Learn. 89 (1-2) (2012)
Przemyslaw Gawel, Krzysztof Dembczynski, Robert Susmaga, Przemyslaw Wesolek, Piotr Zielniewicz, Andrzej Jaszkiewicz
Adapting Travel Time Estimates to Current Traffic Conditions. ADBIS Workshops (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)
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD (3) (2011)
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
Learning Monotone Nonlinear Models using the Choquet Integral. LWA (2011)
Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier
Bipartite Ranking through Minimization of Univariate Loss. ICML (2011)
Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
An Exact Algorithm for F-Measure Maximization. NIPS (2011)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
ENDER: a statistical framework for boosting decision rules. Data Min. Knowl. Discov. 21 (1) (2010)
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
Graded Multilabel Classification: The Ordinal Case. ICML (2010)
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
Graded Multilabel Classification: The Ordinal Case. LWA (2010)
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
Label Ranking Methods based on the Plackett-Luce Model. ICML (2010)
Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. ECML/PKDD (1) (2010)
Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML (2010)
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints. Fundam. Informaticae 94 (2) (2009)
Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski
Rough set approach to multiple criteria classification with imprecise evaluations and assignments. Eur. J. Oper. Res. 198 (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)
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, Roman Slowinski
Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach. ICAISC (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)
Krzysztof Dembczynski, Maciej Hapke, Dominik Przybyl
Flexible Querying with Fuzzy Projection. AWIC (2005)
Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski
Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments. RSFDGrC (1) (2005)
Krzysztof Dembczynski, Roman Pindur, Robert Susmaga
Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach. Electron. Notes Theor. Comput. Sci. 82 (4) (2003)
Krzysztof Dembczynski, Roman Pindur, Robert Susmaga
Dominance-based Rough Set Classifier without Induction of Decision Rules. Electron. Notes Theor. Comput. Sci. 82 (4) (2003)