| 2020 | AAAI | A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. | Gal Dalal, Balzs Szrnyi, Gugan Thoppe |
| 2020 | AAAI | Learning to Crawl. | Utkarsh Upadhyay, Rbert Busa-Fekete, Wojciech Kotlowski, Dvid Pl, Balzs Szrnyi |
| 2019 | COLT | Optimal Learning of Mallows Block Model. | Rbert Busa-Fekete, Dimitris Fotakis, Balzs Szrnyi, Manolis Zampetakis |
| 2019 | ICML | Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. | Alina Beygelzimer, Dvid Pl, Balzs Szrnyi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang |
| 2019 | ICML | The information-theoretic value of unlabeled data in semi-supervised learning. | Alexander Golovnev, Dvid Pl, Balzs Szrnyi |
| 2018 | AAAI | Finite Sample Analyses for TD(0) With Function Approximation. | Gal Dalal, Balzs Szrnyi, Gugan Thoppe, Shie Mannor |
| 2018 | COLT | Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. | Gal Dalal, Gugan Thoppe, Balzs Szrnyi, Shie Mannor |
| 2018 | ISAIM | PAC Bandits with Risk Constraints. | Yahel David, Balzs Szrnyi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin |
| 2017 | ICML | Multi-objective Bandits: Optimizing the Generalized Gini Index. | Rbert Busa-Fekete, Balzs Szrnyi, Paul Weng, Shie Mannor |
| 2016 | ICML | Distributed Clustering of Linear Bandits in Peer to Peer Networks. | Nathan Korda, Balzs Szrnyi, Shuai Li |
| 2015 | ICML | Qualitative Multi-Armed Bandits: A Quantile-Based Approach. | Balzs Szrnyi, Rbert Busa-Fekete, Paul Weng, Eyke Hllermeier |
| 2014 | AAAI | PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. | Rbert Busa-Fekete, Balzs Szrnyi, Eyke Hllermeier |
| 2014 | ICML | Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. | Rbert Busa-Fekete, Eyke Hllermeier, Balzs Szrnyi |
| 2013 | ICML | Top-k Selection based on Adaptive Sampling of Noisy Preferences. | Rbert Busa-Fekete, Balzs Szrnyi, Weiwei Cheng, Paul Weng, Eyke Hllermeier |
| 2013 | ICML | Gossip-based distributed stochastic bandit algorithms. | Balzs Szrnyi, Rbert Busa-Fekete, Istvn Hegeds, Rbert Ormndi, Mrk Jelasity, Balzs Kgl |
| 2013 | STACS | Unlabeled Data Does Provably Help. | Malte Darnstdt, Hans Ulrich Simon, Balzs Szrnyi |
| 2012 | KR | Horn Belief Contraction: Remainders, Envelopes and Complexity. | Kira V. Adaricheva, Robert H. Sloan, Balzs Szrnyi, Gyrgy Turn |
| 2011 | ALT | Supervised Learning and Co-training. | Malte Darnstdt, Hans Ulrich Simon, Balzs Szrnyi |
| 2009 | ALT | Characterizing Statistical Query Learning: Simplified Notions and Proofs. | Balzs Szrnyi |
| 2008 | AAAI | Horn Complements: Towards Horn-to-Horn Belief Revision. | Marina Langlois, Robert H. Sloan, Balzs Szrnyi, Gyrgy Turn |
| 2004 | ALT | New Revision Algorithms. | Judy Goldsmith, Robert H. Sloan, Balzs Szrnyi, Gyrgy Turn |
| 2003 | COLT | Projective DNF Formulae and Their Revision. | Robert H. Sloan, Balzs Szrnyi, Gyrgy Turn |
| 2000 | COLT | Improved Algorithms for Theory Revision with Queries. | Judy Goldsmith, Robert H. Sloan, Balzs Szrnyi, Gyrgy Turn |