Cheng, Weiwei

21 publications

ECML-PKDD 2015 Superset Learning Based on Generalized Loss Minimization Eyke Hüllermeier, Weiwei Cheng

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

MLJ 2014 Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier

IJCAI 2013 Preference-Based CBR: General Ideas and Basic Principles Eyke Hüllermeier, Weiwei Cheng

ICML 2013 Top-K Selection Based on Adaptive Sampling of Noisy Preferences Robert Busa-Fekete, Balazs Szorenyi, Weiwei Cheng, Paul Weng, Eyke Huellermeier

NeurIPS 2012 Label Ranking with Partial Abstention Based on Thresholded Probabilistic Models Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman, Volkmar Welker

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

MLJ 2012 Preference-Based Reinforcement Learning: A Formal Framework and a Policy Iteration Algorithm Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park

ECML-PKDD 2012 Probability Estimation for Multi-Class Classification Based on Label Ranking Weiwei Cheng, Eyke Hüllermeier

NeurIPS 2011 An Exact Algorithm for F-Measure Maximization Krzysztof J. Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier

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

ECML-PKDD 2011 Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park

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 Predicting Partial Orders: Ranking with Abstention Weiwei Cheng, Michaël Rademaker, Bernard De Baets, 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

ECML-PKDD 2009 Combining Instance-Based Learning and Logistic Regression for Multilabel Classification Weiwei Cheng, Eyke Hüllermeier

MLJ 2009 Combining Instance-Based Learning and Logistic Regression for Multilabel Classification Weiwei Cheng, Eyke Hüllermeier

ICML 2009 Decision Tree and Instance-Based Learning for Label Ranking Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier