Krzysztof Dembczynski

85 papers A* 15A 5B 1C 1Misc 3Journal 32Unranked 26
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
2026 J jnl
tensorFM: Low-Rank Approximations of Cross-Order Feature Interactions.
CoRR
Alessio Mazzetto, Mohammad Mahdi Khalili, Laura Fee Nern, Michael Viderman, Alex Shtoff, Krzysztof Dembczynski
2025 A conf
Optimal downsampling for Imbalanced Classification with Generalized Linear Models.
AISTATS
Yan Chen, Jose H. Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron E. Flores
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
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models.
CoRR
Yan Chen, Jose H. Blanchet, Krzysztof Dembczynski, Laura Fee Nern, Aaron Flores
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
2022 A* conf
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
KDD
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski
2022 J jnl
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
CoRR
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski
2022 A* conf
Regret Bounds for Multilabel Classification in Sparse Label Regimes.
NeurIPS
Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi
2022 A conf
Set-valued prediction in hierarchical classification with constrained representation complexity.
UAI
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2022 J jnl
Set-valued prediction in hierarchical classification with constrained representation complexity.
CoRR
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2021 J jnl
Efficient set-valued prediction in multi-class classification.
Data Min. Knowl. Discov.
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
2021 A conf
Online probabilistic label trees.
AISTATS
Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
2021 A* conf
Propensity-scored Probabilistic Label Trees.
SIGIR
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
2021 J jnl
Propensity-scored Probabilistic Label Trees.
CoRR
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
2020 J jnl
Online probabilistic label trees.
CoRR
Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
2020 J jnl
Probabilistic Label Trees for Extreme Multi-label Classification.
CoRR
Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete
2019 J jnl
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.
CoRR
Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2019 J jnl
Multi-target prediction: a unifying view on problems and methods.
Data Min. Knowl. Discov.
Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier
2019 J jnl
On the computational complexity of the probabilistic label tree algorithms.
CoRR
Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu
2019 — conf
Set-Valued Prediction in Multi-Class Classification.
BNAIC/BENELEARN
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
2018 A* conf
A no-regret generalization of hierarchical softmax to extreme multi-label classification.
NeurIPS
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 J jnl
A no-regret generalization of hierarchical softmax to extreme multi-label classification.
CoRR
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 — conf
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study.
ECML/PKDD (1)
Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman
2018 J jnl
Extreme Classification (Dagstuhl Seminar 18291).
Dagstuhl Reports
Samy Bengio, Krzysztof Dembczynski, Thorsten Joachims, Marius Kloft, Manik Varma
2018 — conf
Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization.
WWW (Companion Volume)
Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 J jnl
Multi-Target Prediction: A Unifying View on Problems and Methods.
CoRR
Willem Waegeman, Krzysztof Dembczynski, Eyke Hüllermeier
2017 A* conf
Consistency Analysis for Binary Classification Revisited.
ICML
Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 A conf
Estimating relative depth in single images via rankboost.
ICME
Ralph Ewerth, Matthias Springstein, Eric Müller, Alexander Balz, Jan Gehlhaar, Tolga Naziyok, Krzysztof Dembczynski, Eyke Hüllermeier
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 J jnl
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.
CoRR
Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
2016 J jnl
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.
Data Min. Knowl. Discov.
Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
2016 A* conf
Extreme F-measure Maximization using Sparse Probability Estimates.
ICML
Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier
2015 — conf
Online F-Measure Optimization.
NIPS
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier
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 J jnl
On the bayes-optimality of F-measure maximizers.
J. Mach. Learn. Res.
Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier
2014 J jnl
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty.
Inf. Sci.
Robin Senge, Stefan Bösner, Krzysztof Dembczynski, Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier
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 the Bayes-optimality of F-measure maximizers.
CoRR
Willem Waegeman, Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier
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
Adapting Travel Time Estimates to Current Traffic Conditions.
ADBIS Workshops
Przemyslaw Gawel, Krzysztof Dembczynski, Robert Susmaga, Przemyslaw Wesolek, Piotr Zielniewicz, Andrzej Jaszkiewicz
2012 A conf
An Analysis of Chaining in Multi-Label Classification.
ECAI
Krzysztof Dembczynski, 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 — conf
F-Measure Maximization in Topical Classification.
RSCTC
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman
2012 J jnl
Learning monotone nonlinear models using the Choquet integral.
Mach. Learn.
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2012 J jnl
On label dependence and loss minimization in multi-label classification.
Mach. Learn.
Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
2011 — conf
An Exact Algorithm for F-Measure Maximization.
NIPS
Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
2011 A* conf
Bipartite Ranking through Minimization of Univariate Loss.
ICML
Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier
2011 — conf
Learning Monotone Nonlinear Models Using the Choquet Integral.
ECML/PKDD (3)
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2011 — conf
Learning Monotone Nonlinear Models using the Choquet Integral.
LWA
Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2010 A* conf
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.
ICML
Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier
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
Graded Multilabel Classification: The Ordinal Case.
ICML
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2010 — conf
Graded Multilabel Classification: The Ordinal Case.
LWA
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2010 A* conf
Label Ranking Methods based on the Plackett-Luce Model.
ICML
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2010 — ch.
Learning of Rule Ensembles for Multiple Attribute Ranking Problems.
Preference Learning
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag
2010 — conf
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.
ECML/PKDD (1)
Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
2009 J jnl
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints.
Fundam. Informaticae
Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski
2009 J jnl
Rough set approach to multiple criteria classification with imprecise evaluations and assignments.
Eur. J. Oper. Res.
Krzysztof Dembczynski, Salvatore Greco, 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 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 Misc conf
Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach.
ICAISC
Jerzy Blaszczynski, Krzysztof Dembczynski, Roman Slowinski
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
2005 — conf
Flexible Querying with Fuzzy Projection.
AWIC
Krzysztof Dembczynski, Maciej Hapke, Dominik Przybyl
2005 — conf
Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.
RSFDGrC (1)
Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski
2003 — conf
Dominance-based Rough Set Classifier without Induction of Decision Rules.
RSKD
Krzysztof Dembczynski, Roman Pindur, Robert Susmaga
2003 — conf
Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach.
RSKD
Krzysztof Dembczynski, Roman Pindur, Robert Susmaga