Yevgeny Seldin
Yevgeny Seldin
Associate Professor, Department of Computer Science, University of Copenhagen
Verified email at di.ku.dk - Homepage
TitleCited byYear
Enhanced electronic program guides
M Goldenberg, Y Seldin, A Sterkin
US Patent 8,181,201, 2012
1582012
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
692012
One practical algorithm for both stochastic and adversarial bandits
Y Seldin, A Slivkins
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
662014
PAC-Bayesian analysis of co-clustering and beyond
Y Seldin, N Tishby
Journal of Machine Learning Research 11 (Dec), 3595-3646, 2010
622010
Unsupervised clustering of images using their joint segmentation
Y Seldin, S Starik, M Werman
Proceedings of the 3rd International Workshop on Statistical and …, 2003
442003
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
402011
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
392013
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
322014
Markovian domain fingerprinting: statistical segmentation of protein sequences
G Bejerano, Y Seldin, H Margalit, N Tishby
Bioinformatics 17 (10), 927-934, 2001
292001
PAC-Bayes-Empirical-Bernstein Inequality
IO Tolstikhin, Y Seldin
Advances in Neural Information Processing Systems, 109-117, 2013
282013
Method for content presentation
Y Seldin, A Sterkin
US Patent 8,220,023, 2012
282012
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits
Y Seldin, G Lugosi
Conference on Learning Theory (COLT), 2017
262017
PAC-Bayesian generalization bound for density estimation with application to co-clustering
Y Seldin, N Tishby
International Conference on Artificial Intelligence and Statistics, 472-479, 2009
212009
Information bottleneck for non co-occurrence data
Y Seldin, N Slonim, N Tishby
Advances in Neural Information Processing Systems, 1241-1248, 2006
212006
Unsupervised sequence segmentation by a mixture of switching variable memory Markov sources
Y Seldin, G Bejerano, N Tishby
ICML, 513-520, 2001
202001
Multi-classification by categorical features via clustering
Y Seldin, N Tishby
Proceedings of the 25th international conference on Machine learning, 920-927, 2008
172008
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
142016
An Optimal Algorithm for Stochastic and Adversarial Bandits
J Zimmert, Y Seldin
arXiv preprint arXiv:1807.07623, 2018
132018
An Improved Multileaving Algorithm for Online Ranker Evaluation
B Brost, IJ Cox, Y Seldin, C Lioma
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
102016
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments
Y Seldin, C Szepesvári, P Auer, Y Abbasi-Yadkori
102013
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