Szerző: " Szörényi Balázs"

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Találatok száma: 14.

Korda Nathan; Szörényi Balázs; Shuai Li: Distributed Clustering of Linear Bandits in Peer to Peer Networks.
Journal of Machine Learning Research Workshop and Conference Proceedings, 48. pp. 1301-1309. ISSN 1938-7228 (2016)

Busa-Fekete Róbert; Szörényi Balázs; Dembczyński Krzysztof; Hüllermeier Eyke: Online F-Measure Optimization.
In: Advances in Neural Information Processing Systems 28, 2015.12.07-2015.12.12., Montreal, Kanada. pp. 595-603.

Szörényi Balázs; Busa-Fekete Róbert; Paul Adil; Hüllermeier Eyke: Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach.
In: Advances in Neural Information Processing Systems 28, 2015.12.07-2015.12.12., Montreal, Kanada. pp. 604-613.

Szörényi Balázs; Busa-Fekete Róbert; Weng Paul; Hüllermeier Eyke: Qualitative Multi-Armed Bandits: A Quantile-Based Approach.
Journal of Machine Learning Research Workshop and Conference Proceedings, 37. Azonosító: szorenyi15.pdf-Terjedelem: 15. ISSN 1938-7228 (2015)

Iván Szabolcs; Lelkes Ádám D.; Nagy-György Judit; Szörényi Balázs; Turán György: Biclique Coverings, Rectifier Networks and the Cost of ε-Removal.
Lecture Notes in Computer Science, 8614. pp. 174-185. ISSN 0302-9743 (2014)

Szörényi Balázs; Kedenburg Gunnard; Munos Remi: Optimistic Planning in Markov Decision Processes Using a Generative Model.
In: Zoubin Ghahramani; Max Welling; Corinna Cortes; Neil D Lawrence; Kilian Q Weinberger (szerk.) Advances in Neural Information Processing Systems 27 (NIPS 2014). Montreal, Kanada, 2014.12.08-2014.12.13. NIPS 2014, Terjedelem: 19 p-Azonosító: 5368. (2014)

Busa-Fekete Róbert; Szörényi Balázs; Hüllermeier Eyke: PAC rank elicitation through adaptive sampling of stochastic pairwise preferences.
In: 28th AAAI Conference on Artificial Intelligence, 26th Innovative Applications of Artificial Intelligence Conference and the 5th Symposium on Educational Advances in Artificial Intelligence. Quebec, Kanada, 2014.07.27-2014.07.31. Proceedings of the National Conference on Artificial Intelligence (3). AAAI Press, Quebec, pp. 1701-1707. (2014) ISBN 978-157735679-0

Busa-Fekete Róbert; Szörényi Balázs; Weng Paul; Cheng Weiwei; Hüllermeier Eyke: Preference-Based reinforcement learning: Evolutionary direct policy search using a Preference-Based racing algorithm.
Machine Learning, 97 (3). pp. 327-351. ISSN 0885-6125 (2014)

Busa-Fekete Róbert; Hüllermeier Eyke; Szörényi Balázs: Preference-based rank elicitation using statistical models: the case of mallows.
In: 31st International Conference on Machine Learning, ICML 2014. Beijing, Kína, 2014.06.21-2014.06.26. 31st International Conference on Machine Learning (2). International Machine Learning Society (IMLS), China, pp. 1071-1079. (2014) ISBN 9781634393973

Darnstädt Malte; Simon Hans Ulrich; Szörényi Balázs: Supervised learning and Co-training.
Theoretical Computer Science, 519. pp. 68-87. ISSN 0304-3975 (2014)

Szörényi Balázs; Busa-Fekete Róbert; Hegedűs István; Ormándi Róbert; Jelasity Márk; Kégl Balázs: Gossip-based distributed stochastic bandit algorithms.
In: 30th International Conference on Machine Learning. pp. 1056-1064.

Busa-Fekete Róbert; Szörényi Balázs; Weng Paul; Cheng Weiwei; Hüllermeier Eyke: Top-k selection based on adaptive sampling of noisy preferences.
PROCEEDINGS OF MACHINE LEARNING RESEARCH, 28 (3). pp. 1094-1102. ISSN 2640-3498 (2013)

Darnstädt Malte; Simon Hans Ulrich; Szörényi Balázs: Unlabeled data does provably help.
In: 30th International Symposium on Theoretical Aspects of Computer Science: STACS 2013. Natacha Portier, Thomas Wilke (szerk.) Kiel, Németország, 2013.02.27-2013.03.02. IBFI, Dagstuhl, Dagstuhl, pp. 185-196. (2013) ISBN 978-3-939897-50-7

Sloan Robert H.; Szörényi Balázs; Turán György: On k-term DNF with largest number of prime implicants.
ELECTRONIC COLLOQUIUM ON COMPUTATIONAL COMPLEXITY, 12. Terjedelem: 16 p.-Azonosító: 023. (2005)

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