Yevgeny Seldin 个人学术档案

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引用	2122	1474
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Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di Milano在 unimi.it 的电子邮件经过验证
Julian ZimmertGoogle Research在 google.com 的电子邮件经过验证
John Shawe-TaylorUCL在 cs.ucl.ac.uk 的电子邮件经过验证
Peter AuerMontanuniversität Leoben在 unileoben.ac.at 的电子邮件经过验证
Christian IgelDepartment of Computer Science, University of Copenhagen在 diku.dk 的电子邮件经过验证
Peter BartlettProfessor, EECS and Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Yasin Abbasi YadkoriGoogle DeepMind在 google.com 的电子邮件经过验证
Saeed MasoudianDepartment of Computer Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of Technology在 ee.technion.ac.il 的电子邮件经过验证
Csaba SzepesvariDeepMind & University of Alberta在 cs.ualberta.ca 的电子邮件经过验证
Stephan Sloth Lorenzenph.d. student, Department of Computer Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Gabor LugosiICREA and Universitat Pompeu Fabra在 upf.edu 的电子邮件经过验证
Chloé RouyerPostdoc at Montanuniversität Leoben在 di.ku.dk 的电子邮件经过验证
Aleksandrs SlivkinsSenior Principal Researcher, Microsoft Research NYC在 microsoft.com 的电子邮件经过验证
Yi-Shan WuSouth Denmark University在 imada.sdu.dk 的电子邮件经过验证
Tobias Sommer ThunePhD fellow, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Christina LiomaProfessor in Computer Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Ingemar J. CoxDepartment of Computer Science, University College London / University of Copenhagen在 ucl.ac.uk 的电子邮件经过验证
Brian BrostChurney在 churney.io 的电子邮件经过验证
Hanah MargalitThe Hebrew University of Jerusalem在 ekmd.huji.ac.il 的电子邮件经过验证

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Yevgeny Seldin

Professor, Department of Computer Science, University of Copenhagen

在 di.ku.dk 的电子邮件经过验证 - 首页

Machine Learning Online Learning Learning Theory


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
One practical algorithm for both stochastic and adversarial bandits Y Seldin, A Slivkins Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014	184	2014
Enhanced electronic program guides M Goldenberg, Y Seldin, A Sterkin US Patent 8,181,201, 2012	184	2012
PAC-Bayesian inequalities for martingales Y Seldin, F Laviolette, N Cesa-Bianchi, J Shawe-Taylor, P Auer IEEE Transactions on Information Theory 58 (12), 7086-7093, 2012	131	2012
An Optimal Algorithm for Stochastic and Adversarial Bandits J Zimmert, Y Seldin International Conference on Artificial Intelligence and Statistics (AISTATS), 2019	123	2019
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits J Zimmert, Y Seldin Journal of Machine Learning Research 22 (28), 1-49, 2021	117	2021
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits Y Seldin, G Lugosi Conference on Learning Theory (COLT), 2017	109	2017
Online learning in Markov decision processes with adversarially chosen transition probability distributions Y Abbasi, P Bartlett, V Kanade, Y Seldin, C Szepesvári Advances in Neural Information Processing Systems, 2508-2516, 2013	102*	2013
PAC-Bayesian Analysis of Co-clustering and Beyond. Y Seldin, N Tishby Journal of Machine Learning Research 11 (12), 2010	101	2010
A Strongly Quasiconvex PAC-Bayesian Bound N Thiemann, C Igel, O Wingenberger, Y Seldin Algorithmic Learning Theory (ALT), 2017	97	2017
PAC-Bayes-Empirical-Bernstein Inequality IO Tolstikhin, Y Seldin Advances in Neural Information Processing Systems, 109-117, 2013	91	2013
Prediction with limited advice and multiarmed bandits with paid observations Y Seldin, P Bartlett, K Crammer, Y Abbasi-Yadkori Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014	74	2014
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments Y Seldin, C Szepesvári, P Auer, Y Abbasi-Yadkori	65	2013
PAC-Bayesian analysis of contextual bandits Y Seldin, P Auer, JS Shawe-Taylor, R Ortner, F Laviolette Advances in neural information processing systems, 1683-1691, 2011	57	2011
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays J Zimmert, Y Seldin International Conference on Artificial Intelligence and Statistics (AISTATS), 2020	56	2020
Nonstochastic Multiarmed Bandits with Unrestricted Delays TS Thune, N Cesa-Bianchi, Y Seldin Advances in Neural Information Processing Systems (NeurIPS), 2019	56	2019
Unsupervised clustering of images using their joint segmentation Y Seldin, S Starik, M Werman 3rd International Workshop on Statistical and Computational Theories of …, 2003	45	2003
Multi-dueling bandits and their application to online ranker evaluation B Brost, Y Seldin, IJ Cox, C Lioma Proceedings of the 25th ACM International on Conference on Information and …, 2016	44	2016
Second order PAC-Bayesian bounds for the weighted majority vote AR Masegosa, SS Lorenzen, C Igel, Y Seldin Advances in Neural Information Processing Systems (NeurIPS), 2020	43	2020
Method for content presentation Y Seldin, A Sterkin US Patent 8,220,023, 2012	38	2012
Markovian domain fingerprinting: statistical segmentation of protein sequences G Bejerano, Y Seldin, H Margalit, N Tishby Bioinformatics 17 (10), 927-934, 2001	32	2001

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