Balazs Szorenyi

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Robert Busa-FeketeResearch scientist, Google ResearchVerified email at google.com
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Gyorgy Turan University of Illinois at Chicago, and Hungarian Academy of SciencesVerified email at uic.edu
Robert SloanProfessor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
Paul WengDuke Kunshan UniversityVerified email at duke.edu
Gal DalalSr. Research Scientist, NvidiaVerified email at nvidia.com
Gugan Thoppe | गुगन थोप्पेAsst. Prof., Computer Science, Indian Institute of Science | भारतीय विज्ञान संस्थानVerified email at iisc.ac.in
Weiwei ChengSenior Principal Scientist at ZalandoVerified email at zalando.de
Judy GoldsmithUniversity of KentuckyVerified email at cs.uky.edu
Shuai LiPresident, Chairman, Professor, Cambridge University, The University of Tokyo, Tsinghua UniversityVerified email at cam.ac.uk
Hans Ulrich SimonRetired Professor, Dept. of Math., Ruhr-University BochumVerified email at rub.de
Dávid PálStaff Machine Learning Engineer, InstacartVerified email at instacart.com
Balazs KEGLResearch scientist, Paris AI leader, Noah's Ark Lab, Huawei ResearchVerified email at huawei.com
Mark JelasityFull Professor, University of SzegedVerified email at inf.u-szeged.hu
István HegedűsUniversity of SzegedVerified email at inf.u-szeged.hu
Robert OrmandiGoogleVerified email at google.com
Dimitris FotakisProfessor, Electrical & Computer Eng., NTU AthensVerified email at cs.ntua.gr
Krzysztof DembczyńskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Rémi MunosGoogle DeepMindVerified email at inria.fr

Balazs Szorenyi

Sr Research Scientist at Yahoo Research

Verified email at yahooinc.com - Homepage

Machine Learning Learning Theory Online Learning


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Finite sample analyses for TD (0) with function approximation G Dalal, B Szörényi, G Thoppe, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	191	2018
Distributed clustering of linear bandits in peer to peer networks N Korda, B Szörényi, S Li Journal of Machine Learning Research Workshop and Conference Proceedings 48 …, 2016	179	2016
Finite sample analysis of two-timescale stochastic approximation with applications to reinforcement learning G Dalal, G Thoppe, B Szörényi, S Mannor Conference On Learning Theory, 1199-1233, 2018	126	2018
Gossip-based distributed stochastic bandit algorithms B Szorenyi, R Busa-Fekete, I Hegedus, R Ormándi, M Jelasity, B Kégl International conference on machine learning, 19-27, 2013	121	2013
Online rank elicitation for plackett-luce: A dueling bandits approach B Szörényi, R Busa-Fekete, A Paul, E Hüllermeier Advances in neural information processing systems 28, 2015	100	2015
Top-k selection based on adaptive sampling of noisy preferences R Busa-Fekete, B Szorenyi, W Cheng, P Weng, E Hüllermeier International Conference on Machine Learning, 1094-1102, 2013	96	2013
Preference-based rank elicitation using statistical models: The case of mallows R Busa-Fekete, E Hüllermeier, B Szörényi International conference on machine learning, 1071-1079, 2014	78	2014
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm R Busa-Fekete, B Szörényi, P Weng, W Cheng, E Hüllermeier Machine learning 97, 327-351, 2014	73	2014
Qualitative multi-armed bandits: A quantile-based approach B Szorenyi, R Busa-Fekete, P Weng, E Hüllermeier International Conference on Machine Learning, 1660-1668, 2015	57	2015
Characterizing statistical query learning: simplified notions and proofs B Szörényi International Conference on Algorithmic Learning Theory, 186-200, 2009	54	2009
A tale of two-timescale reinforcement learning with the tightest finite-time bound G Dalal, B Szorenyi, G Thoppe Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3701-3708, 2020	52	2020
Multi-objective bandits: Optimizing the generalized gini index R Busa-Fekete, B Szörényi, P Weng, S Mannor International Conference on Machine Learning, 625-634, 2017	47	2017
Horn Complements: Towards Horn-to-Horn Belief Revision. M Langlois, RH Sloan, B Szörényi, G Turán AAAI, 466-471, 2008	46	2008
Online f-measure optimization R Busa-Fekete, B Szörényi, K Dembczynski, E Hüllermeier Advances in Neural Information Processing Systems 28, 2015	45	2015
PAC rank elicitation through adaptive sampling of stochastic pairwise preferences R Busa-Fekete, B Szörényi, E Hüllermeier Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	32	2014
Theory revision with queries: Horn, read-once, and parity formulas J Goldsmith, RH Sloan, B Szörényi, G Turán Artificial Intelligence 156 (2), 139-176, 2004	31*	2004
Optimistic planning in Markov decision processes using a generative model B Szörényi, G Kedenburg, R Munos Advances in Neural Information Processing Systems 27, 2014	28	2014
Optimal learning of mallows block model R Busa-Fekete, D Fotakis, B Szörényi, M Zampetakis Conference on learning theory, 529-532, 2019	26	2019
On k-Term DNF with the Largest Number of Prime Implicants RH Sloan, B Szörényi, G Turán SIAM Journal on Discrete Mathematics 21 (4), 987-998, 2008	24	2008
PAC Bandits with Risk Constraints. Y David, B Szörényi, M Ghavamzadeh, S Mannor, N Shimkin ISAIM, 2018	23	2018

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