Szörényi, Balázs

27 publications

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

AAAI 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound Gal Dalal, Balázs Szörényi, Gugan Thoppe

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

ICML 2019 Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case Alina Beygelzimer, David Pal, Balazs Szorenyi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang

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

ICML 2019 The Information-Theoretic Value of Unlabeled Data in Semi-Supervised Learning Alexander Golovnev, David Pal, Balazs Szorenyi

AAAI 2018 Finite Sample Analyses for TD(0) with Function Approximation Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

COLT 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor

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

ECML-PKDD 2017 Non-Parametric Online AUC Maximization Balázs Szörényi, Snir Cohen, Shie Mannor

ICML 2016 Distributed Clustering of Linear Bandits in Peer to Peer Networks Nathan Korda, Balazs Szorenyi, Shuai Li

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

NeurIPS 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model Balázs Szörényi, Gunnar Kedenburg, Remi Munos

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

ALT 2011 Supervised Learning and Co-Training Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi

ALT 2009 Characterizing Statistical Query Learning: Simplified Notions and Proofs Balázs Szörényi

AAAI 2008 Horn Complements: Towards Horn-to-Horn Belief Revision Marina Langlois, Robert H. Sloan, Balázs Szörényi, György Turán

ALT 2004 New Revision Algorithms Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán

COLT 2003 Projective DNF Formulae and Their Revision Robert H. Sloan, Balázs Szörényi, György Turán

COLT 2000 Improved Algorithms for Theory Revision with Queries Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán