Balazs Szorenyi

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Robert Busa-FeketeResearch scientist, Google ResearchVerified email at google.com
Gyorgy Turan University of Illinois at Chicago, and Hungarian Academy of SciencesVerified email at uic.edu
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Robert SloanProfessor of Computer Science, University of Illinois at ChicagoVerified email at uic.edu
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia ResearchVerified email at technion.ac.il
Paul WengUniversity of Michigan-Shanghai Jiaotong University Joint InstituteVerified email at sjtu.edu.cn
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 LiProfessor, Cambridge, UTokyo, 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 MunosDeepMindVerified 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	165	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	160	2016
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	109	2013
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	105	2018
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	91	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	85	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	74	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	56	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	56	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	52	2015
Characterizing statistical query learning: simplified notions and proofs B Szörényi International Conference on Algorithmic Learning Theory, 186-200, 2009	48	2009
Horn Complements: Towards Horn-to-Horn Belief Revision. M Langlois, RH Sloan, B Szörényi, G Turán AAAI, 466-471, 2008	46	2008
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	44	2020
Online f-measure optimization R Busa-Fekete, B Szörényi, K Dembczynski, E Hüllermeier Advances in Neural Information Processing Systems 28, 2015	40	2015
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	37	2017
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	30*	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
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	27	2014
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
Optimal learning of Mallows block model R Busa-Fekete, D Fotakis, B Szörényi, M Zampetakis Conference on Learning Theory, 529-532, 2019	23	2019

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