Busa-Fekete, Robert

29 publications

NeurIPS 2023 Easy Learning from Label Proportions Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andres Munoz Medina

NeurIPS 2022 Private and Communication-Efficient Algorithms for Entropy Estimation Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Munoz Medina, Umar Syed

NeurIPS 2022 Regret Bounds for Multilabel Classification in Sparse Label Regimes Róbert Busa-Fekete, Heejin Choi, Krzysztof J. Dembczynski, Claudio Gentile, Henry Reeve, Balazs Szorenyi

NeurIPS 2021 Identity Testing for Mallows Model Róbert Busa-Fekete, Dimitris Fotakis, Balazs Szorenyi, Emmanouil Zampetakis

JMLR 2021 Preference-Based Online Learning with Dueling Bandits: A Survey Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier

NeurIPS 2021 Private and Non-Private Uniformity Testing for Ranking Data Róbert Busa-Fekete, Dimitris Fotakis, Emmanouil Zampetakis

AAAI 2020 Learning to Crawl Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi

COLT 2019 Optimal Learning of Mallows Block Model Robert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis

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

NeurIPS 2018 Distributed Stochastic Optimization via Adaptive SGD Ashok Cutkosky, Róbert Busa-Fekete

ICML 2018 Ranking Distributions Based on Noisy Sorting Adil El Mesaoudi-Paul, Eyke Hüllermeier, Robert Busa-Fekete

ICML 2017 Multi-Objective Bandits: Optimizing the Generalized Gini Index Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor

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

NeurIPS 2015 Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach Balázs Szörényi, Róbert Busa-Fekete, Adil Paul, Eyke Hüllermeier

ICML 2015 Qualitative Multi-Armed Bandits: A Quantile-Based Approach Balazs Szorenyi, Robert Busa-Fekete, Paul Weng, Eyke Hüllermeier

ALT 2014 A Survey of Preference-Based Online Learning with Bandit Algorithms Róbert Busa-Fekete, Eyke Hüllermeier

AAAI 2014 PAC Rank Elicitation Through Adaptive Sampling of Stochastic Pairwise Preferences Róbert Busa-Fekete, Balázs Szörényi, Eyke Hüllermeier

ICML 2014 Preference-Based Rank Elicitation Using Statistical Models: The Case of Mallows Robert Busa-Fekete, Eyke Huellermeier, Balázs Szörényi

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

ICML 2013 Gossip-Based Distributed Stochastic Bandit Algorithms Balazs Szorenyi, Robert Busa-Fekete, Istvan Hegedus, Robert Ormandi, Mark Jelasity, Balazs Kegl

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

MLJ 2013 Tune and Mix: Learning to Rank Using Ensembles of Calibrated Multi-Class Classifiers Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas

ICML 2012 Fast Classification Using Sparse Decision DAGs Róbert Busa-Fekete, Djalel Benbouzid, Balázs Kégl

MLOSS 2012 MULTIBOOST: A Multi-Purpose Boosting Package Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl

ECML-PKDD 2011 A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas

ICML 2010 Fast Boosting Using Adversarial Bandits Róbert Busa-Fekete, Balázs Kégl

ICML 2009 Boosting Products of Base Classifiers Balázs Kégl, Róbert Busa-Fekete