Balázs Szörényi

52 papers A* 18A 1B 3Misc 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
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
2021 A* conf
Identity testing for Mallows model.
NeurIPS
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Emmanouil Zampetakis
2020 A* conf
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound.
AAAI
Gal Dalal, Balázs Szörényi, Gugan Thoppe
2020 A* conf
Learning to Crawl.
AAAI
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2019 J jnl
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound.
CoRR
Gal Dalal, Balázs Szörényi, Gugan Thoppe
2019 A* conf
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case.
ICML
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019 J jnl
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case.
CoRR
Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019 J jnl
Learning to Crawl.
CoRR
Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2019 A* conf
Optimal Learning of Mallows Block Model.
COLT
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
2019 J jnl
Optimal Learning of Mallows Block Model.
CoRR
Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
2019 A* conf
The information-theoretic value of unlabeled data in semi-supervised learning.
ICML
Alexander Golovnev, Dávid Pál, Balázs Szörényi
2019 J jnl
The information-theoretic value of unlabeled data in semi-supervised learning.
CoRR
Alexander Golovnev, Dávid Pál, Balázs Szörényi
2018 A* conf
Finite Sample Analyses for TD(0) With Function Approximation.
AAAI
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2018 A* conf
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning.
COLT
Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor
2018 Misc conf
PAC Bandits with Risk Constraints.
ISAIM
Yahel David, Balázs Szörényi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin
2017 J jnl
Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning.
CoRR
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017 J jnl
Finite Sample Analysis for TD(0) with Linear Function Approximation.
CoRR
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017 A* conf
Multi-objective Bandits: Optimizing the Generalized Gini Index.
ICML
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017 J jnl
Multi-objective Bandits: Optimizing the Generalized Gini Index.
CoRR
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017 — conf
Non-parametric Online AUC Maximization.
ECML/PKDD (2)
Balázs Szörényi, Snir Cohen, Shie Mannor
2016 A* conf
Distributed Clustering of Linear Bandits in Peer to Peer Networks.
ICML
Nathan Korda, Balázs Szörényi, Shuai Li
2016 J jnl
Distributed Clustering of Linear Bandits in Peer to Peer Networks.
CoRR
Nathan Korda, Balázs Szörényi, Shuai Li
2015 — conf
Online F-Measure Optimization.
NIPS
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier
2015 — conf
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.
NIPS
Balázs Szörényi, Róbert Busa-Fekete, Adil Paul, Eyke Hüllermeier
2015 A* conf
Qualitative Multi-Armed Bandits: A Quantile-Based Approach.
ICML
Balázs Szörényi, Róbert Busa-Fekete, Paul Weng, Eyke Hüllermeier
2014 — conf
Biclique Coverings, Rectifier Networks and the Cost of ε-Removal.
DCFS
Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György, Balázs Szörényi, György Turán
2014 J jnl
Biclique coverings, rectifier networks and the cost of $\varepsilon$-removal.
CoRR
Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György, Balázs Szörényi, György Turán
2014 — conf
Optimistic Planning in Markov Decision Processes Using a Generative Model.
NIPS
Balázs Szörényi, Gunnar Kedenburg, Rémi Munos
2014 A* conf
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.
AAAI
Róbert Busa-Fekete, Balázs Szörényi, Eyke Hüllermeier
2014 A* conf
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows.
ICML
Róbert Busa-Fekete, Eyke Hüllermeier, Balázs Szörényi
2014 J jnl
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
Mach. Learn.
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier
2014 J jnl
Supervised learning and Co-training.
Theor. Comput. Sci.
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi
2013 — conf
Gossip-based distributed stochastic bandit algorithms.
ICML (3)
Balázs Szörényi, Róbert Busa-Fekete, István Hegedüs, Róbert Ormándi, Márk Jelasity, Balázs Kégl
2013 — conf
Top-k Selection based on Adaptive Sampling of Noisy Preferences.
ICML (3)
Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng, Paul Weng, Eyke Hüllermeier
2013 A conf
Unlabeled Data Does Provably Help.
STACS
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi
2012 A* conf
Horn Belief Contraction: Remainders, Envelopes and Complexity.
KR
Kira V. Adaricheva, Robert H. Sloan, Balázs Szörényi, György Turán
2011 — conf
Horn Belief Contraction: Remainders, Envelopes and Complexity.
AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning
Kira V. Adaricheva, Robert H. Sloan, Balázs Szörényi, György Turán
2011 B conf
Supervised Learning and Co-training.
ALT
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi
2010 — ch.
Learning Boolean Functions with Queries.
Boolean Models and Methods
Robert H. Sloan, Balázs Szörényi, György Turán, Yves Crama, Peter L. Hammer
2010 J jnl
One-inclusion hypergraph density revisited.
Inf. Process. Lett.
Hans Ulrich Simon, Balázs Szörényi
2009 B conf
Characterizing Statistical Query Learning: Simplified Notions and Proofs.
ALT
Balázs Szörényi
2008 J jnl
Disjoint DNF Tautologies with Conflict Bound Two.
J. Satisf. Boolean Model. Comput.
Balázs Szörényi
2008 A* conf
Horn Complements: Towards Horn-to-Horn Belief Revision.
AAAI
Marina Langlois, Robert H. Sloan, Balázs Szörényi, György Turán
2008 J jnl
On k-Term DNF with the Largest Number of Prime Implicants.
SIAM J. Discret. Math.
Robert H. Sloan, Balázs Szörényi, György Turán
2008 J jnl
Projective DNF formulae and their revision.
Discret. Appl. Math.
Robert H. Sloan, Balázs Szörényi, György Turán
2007 J jnl
Revising threshold functions.
Theor. Comput. Sci.
Robert H. Sloan, Balázs Szörényi, György Turán
2005 J jnl
On k-term DNF with largest number of prime implicants
Electron. Colloquium Comput. Complex.
Robert H. Sloan, Balázs Szörényi, György Turán
2004 B conf
New Revision Algorithms.
ALT
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
2004 J jnl
Theory revision with queries: Horn, read-once, and parity formulas.
Artif. Intell.
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
2003 A* conf
Projective DNF Formulae and Their Revision.
COLT
Robert H. Sloan, Balázs Szörényi, György Turán
2003 J jnl
Theory Revision with Queries: Horn, Read-once, and Parity Formulas
Electron. Colloquium Comput. Complex.
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán
2000 A* conf
Improved Algorithms for Theory Revision with Queries.
COLT
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán