-
Nathan Korda, Balázs Szörényi, Shuai Li:
Distributed Clustering of Linear Bandits in Peer to Peer Networks.
33rd International Conference on Machine Learning (ICML 2016),
[arXiv version]
-
Róbert Busa-Fekete, Balázs Szörényi,
Krzysztof Dembczyński, Eyke Hüllermeier:
Online F-Measure Optimization.
Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS 2015),
595--603, 2015.
[download]
-
Balázs Szörényi, Róbert Busa-Fekete,
Adil Paul, Eyke Hüllermeier:
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.
Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS 2015),
604--612, 2015.
[download]
-
Balázs Szörényi, Róbert Busa-Fekete,
Paul Weng, Eyke Hüllermeier:
Qualitative Multi-Armed Bandits: A Quantile-Based Approach.
32nd International Conference on Machine Learning (ICML 2015),
JMLR, W&CP Vol. 37, 1660--1668, 2015.
[download]
-
Balázs Szörényi, Gunnar Kedenburg, Remi Munos:
Optimistic Planning in Markov Decision Processes Using a Generative Model.
Twenty-eighth Annual Conference on Neural Information Processing Systems (NIPS 2014),
1035--1043, 2014.
[download]
-
Szabolcs Iván, Ádám D. Lelkes, Judit Nagy-György,
Balázs Szörényi, György Turán:
Biclique coverings, rectifier networks and the cost of epsilon-removal.
16th International Workshop on Descriptional Complexity of Formal Systems
(DCFS 2014)
2014.
[arXiv version]
-
Róbert Busa-Fekete, Eyke Hüllermeier,
Balázs Szörényi:
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows.
31st International Conference on Machine Learning (ICML 2014),
JMLR W&CP 32 (1) : 1071--1079, 2014.
[download from JMLR]
-
Róbert Busa-Fekete, Balázs Szörényi,
Eyke Hüllermeier:
PAC Rank Elicitation through Adaptive Sampling of Noisy Preferences.
28th AAAI Conference on Artificial Intelligence (AAAI-14),
AAAI Press, 1701--1707, 2014.
[download from AAAI]
-
Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng,
Paul Weng, Eyke Hüllermeier:
Top-k Selection based on Adaptive Sampling of Noisy Preferences.
30th International Conference on Machine Learning (ICML 2013),
JMLR W&CP 28 (3): 1094--1102, 2013
[download from JMLR]
-
Balázs Szörényi, Róbert Busa-Fekete, István Hegedűs,
Róbert Ormándi, Márk Jelasity, Balázs Kégl:
Gossip-based distributed stochastic bandit algorithms.
30th International Conference on Machine Learning (ICML 2013),
JMLR W&CP 28 (3): 19--27, 2013.
[download from JMLR]
-
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi:
Unlabeled Data Does Provably Help.
Proceedings of the 30th International Symposium on Theoretical Aspects of Computer Science (STACS 2013).
Leibniz International Proceedings in Informatics (LIPIcs) 20, 185--196, 2013.
[download from Dagstuhl homepage]
-
Kira Adaricheva, Robert Sloan, Balázs Szörényi
and György Turán:
Horn Belief Contraction: Remainders, Envelopes and Complexity.
In Proceedings of the 13th International Conference on Principles of
Knowledge Representation and Reasoning,
107 -- 115, 2012.
In Proceedings of the Tenth International Symposium on Logical Formalizations
of Commonsense Reasoning (CS-11), 2011.
[download
from commonsensereasoning.org]
-
Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi:
Supervised Learning and Co-training.
Proceedings of the 22nd International Conference on Algorithmic Learning Theory (ALT 2011).
Springer LNCS 6925, 425 -- 439, 2011.
[download]
-
Balázs Szörényi:
Characterizing Statistical Query Learning: Simplified Notions and Proofs.
Proceedings of the 20th International Conference on Algorithmic Learning Theory (ALT 2009),
Springer LNAI 5809, 186 -- 200, 2009.
[download the extended version]
-
Marina Langlois, Robert H. Sloan, Balázs Szörényi, and György Turán:
Horn Complements: Towards Horn-to-Horn belief revision.
Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08),
AAAI Press, 466 -- 471, 2008.
[download]
-
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, and György Turán:
Theory revision with queries: results and problems.
Workshop on Learning with Logic and Logics for Learning (LLLL),
Japanese Society for AI, 39 -- 44, 2005.
-
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, and György Turán:
New revision algorithms.
15th Algorithmic Learning Theory (ALT 2004), Springer LNAI 3244, 395 -- 409, 2004.
-
Robert H. Sloan and Balázs Szörényi:
Revising projective DNF in the presence of noise.
In Proc. Kalmár Workshop on Logic and Computer Science, October 2003, pages 143 -- 152.
-
Robert H. Sloan, Balázs Szörényi, and György Turán:
Projective DNF formulae and their revision.
Learning Theory and Kernel Machines (16th COLT/Kernel 2003), Springer LNAI 2777, 625 -- 639, 2003.
-
Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, and György Turán:
Improved algorithms for theory revision with queries.
13th Annual Conference on Computational Learning Theory (13th COLT), 236 -- 247, 2000.
|