Balázs Szörényi

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 22

Top Topics

Reinforcement Learning

Markov Decision Process

Top Venues

Publications

Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi
Regret Bounds for Multilabel Classification in Sparse Label Regimes. NeurIPS (2022)
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Emmanouil Zampetakis
Identity testing for Mallows model. NeurIPS (2021)
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
Learning to Crawl. AAAI (2020)
Gal Dalal, Balázs Szörényi, Gugan Thoppe
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. AAAI (2020)
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
Learning to Crawl. CoRR (2019)
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. CoRR (2019)
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
Optimal Learning of Mallows Block Model. CoRR (2019)
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. ICML (2019)
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
Optimal Learning of Mallows Block Model. COLT (2019)
Alexander Golovnev, Dávid Pál, Balázs Szörényi
The information-theoretic value of unlabeled data in semi-supervised learning. ICML (2019)
Gal Dalal, Balázs Szörényi, Gugan Thoppe
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. CoRR (2019)
Alexander Golovnev, Dávid Pál, Balázs Szörényi
The information-theoretic value of unlabeled data in semi-supervised learning. CoRR (2019)
Yahel David, Balázs Szörényi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin
PAC Bandits with Risk Constraints. ISAIM (2018)
Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT (2018)
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
Finite Sample Analyses for TD(0) With Function Approximation. AAAI (2018)
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
Multi-objective Bandits: Optimizing the Generalized Gini Index. CoRR (2017)
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR (2017)
Balázs Szörényi, Snir Cohen, Shie Mannor
Non-parametric Online AUC Maximization. ECML/PKDD (2) (2017)
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR (2017)
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
Multi-objective Bandits: Optimizing the Generalized Gini Index. ICML (2017)
Nathan Korda, Balázs Szörényi, Shuai Li
Distributed Clustering of Linear Bandits in Peer to Peer Networks. ICML (2016)
Nathan Korda, Balázs Szörényi, Shuai Li
Distributed Clustering of Linear Bandits in Peer to Peer Networks. CoRR (2016)
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier
Online F-Measure Optimization. NIPS (2015)
Balázs Szörényi, Róbert Busa-Fekete, Adil Paul, Eyke Hüllermeier
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. NIPS (2015)
Balázs Szörényi, Róbert Busa-Fekete, Paul Weng, Eyke Hüllermeier
Qualitative Multi-Armed Bandits: A Quantile-Based Approach. ICML (2015)
Róbert Busa-Fekete, Balázs Szörényi, Eyke Hüllermeier
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. AAAI (2014)
Róbert Busa-Fekete, Eyke Hüllermeier, Balázs Szörényi
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. ICML (2014)
Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György, Balázs Szörényi, György Turán
Biclique Coverings, Rectifier Networks and the Cost of ε-Removal. DCFS (2014)
Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György, Balázs Szörényi, György Turán
Biclique coverings, rectifier networks and the cost of $\varepsilon$-removal. CoRR (2014)
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi
Supervised learning and Co-training. Theor. Comput. Sci. 519 (2014)
Balázs Szörényi, Gunnar Kedenburg, Rémi Munos
Optimistic Planning in Markov Decision Processes Using a Generative Model. NIPS (2014)
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Mach. Learn. 97 (3) (2014)
Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng, Paul Weng, Eyke Hüllermeier
Top-k Selection based on Adaptive Sampling of Noisy Preferences. ICML (3) (2013)
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi
Unlabeled Data Does Provably Help. STACS (2013)
Balázs Szörényi, Róbert Busa-Fekete, István Hegedüs, Róbert Ormándi, Márk Jelasity, Balázs Kégl
Gossip-based distributed stochastic bandit algorithms. ICML (3) (2013)
Kira V. Adaricheva, Robert H. Sloan, Balázs Szörényi, György Turán
Horn Belief Contraction: Remainders, Envelopes and Complexity. KR (2012)
Kira V. Adaricheva, Robert H. Sloan, Balázs Szörényi, György Turán
Horn Belief Contraction: Remainders, Envelopes and Complexity. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning (2011)
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi
Supervised Learning and Co-training. ALT (2011)
Hans Ulrich Simon, Balázs Szörényi
One-inclusion hypergraph density revisited. Inf. Process. Lett. 110 (8-9) (2010)
Balázs Szörényi
Characterizing Statistical Query Learning: Simplified Notions and Proofs. ALT (2009)
Robert H. Sloan, Balázs Szörényi, György Turán
Projective DNF formulae and their revision. Discret. Appl. Math. 156 (4) (2008)
Robert H. Sloan, Balázs Szörényi, György Turán
On k-Term DNF with the Largest Number of Prime Implicants. SIAM J. Discret. Math. 21 (4) (2008)
Balázs Szörényi
Disjoint DNF Tautologies with Conflict Bound Two. J. Satisf. Boolean Model. Comput. 4 (1) (2008)
Marina Langlois, Robert H. Sloan, Balázs Szörényi, György Turán
Horn Complements: Towards Horn-to-Horn Belief Revision. AAAI (2008)
Robert H. Sloan, Balázs Szörényi, György Turán
Revising threshold functions. Theor. Comput. Sci. 382 (3) (2007)
Robert H. Sloan, Balázs Szörényi, György Turán
On k-term DNF with largest number of prime implicants Electron. Colloquium Comput. Complex. (023) (2005)
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
New Revision Algorithms. ALT (2004)
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
Theory revision with queries: Horn, read-once, and parity formulas. Artif. Intell. 156 (2) (2004)
Robert H. Sloan, Balázs Szörényi, György Turán
Projective DNF Formulae and Their Revision. COLT (2003)
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
Theory Revision with Queries: Horn, Read-once, and Parity Formulas Electron. Colloquium Comput. Complex. (039) (2003)
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
Improved Algorithms for Theory Revision with Queries. COLT (2000)