Yevgeny Seldin

Yevgeny Seldin

Professor

ORCID: 0000-0003-3152-4635

Udgivelsesår:
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  1. 2001
  2. Udgivet

    Markovian domain fingerprinting: statistical segmentation of protein sequences

    Bejerano, G., Seldin, Yevgeny, Tishby, N. & Margalit, H., 2001, I: Bioinformatics.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

    Unsupervised sequence segmentation by a mixture of variable memory length Markov sources

    Seldin, Yevgeny, Bejerano, G. & Tishby, N., 2001, Proceedings of the 18th International Conference on Machine Learning (ICML).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. 2003
  5. Udgivet

    Unsupervised segmentation and classification of mixtures of Markovian sources

    Seldin, Yevgeny, Starik, S. & Werman, M., 2003.

    Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

  6. 2007
  7. Udgivet

    Information bottleneck for non co-occurrence data

    Seldin, Yevgeny, Slonim, N. & Tishby, N., 2007, Advances in Neural Information Processing Systems (NIPS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. 2008
  9. Udgivet

    Multi-classification by categorical features via clustering

    Seldin, Yevgeny & Tishby, N., 2008, Proceedings of the 25th International Conference on Machine Learning (ICML).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. 2009
  11. Udgivet

    PAC-Bayesian generalization bound for density estimation with application to co-clustering

    Seldin, Yevgeny & Tishby, N., 2009, JMLR Workshop and Conference Proceedings, 5 (AISTATS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  12. 2010

  13. PAC-Bayesian analysis of co-clustering and beyond

    Seldin, Yevgeny & Tishby, N., 2010, I: Journal of Machine Learning Research. 11, s. 3595-3646 52 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  14. 2011

  15. PAC-Bayesian analysis of contextual bandits

    Seldin, Yevgeny, Auer, P., Laviolette, F., Shawe-Taylor, J. & Ortner, R., 2011, Advances in Neural Information Processing Systems (NIPS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  16. 2012

  17. PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits

    Seldin, Yevgeny, Cesa-Bianchi, N., Auer, P., Laviolette, F. & Shawe-Taylor, J., 2012, JMLR Workshop and Conference Proceedings, 26.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  18. PAC-Bayesian inequalities for martingales

    Seldin, Yevgeny, Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, I: I E E E Transactions on Information Theory. 58, 12

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  19. 2013

  20. Evaluation and analysis of the performance of the EXP3 algorithm in stochastic environments

    Seldin, Yevgeny, Szepesvári, C., Auer, P. & Abbasi-Yadkori, Y., 2013, JMLR Workshop and Conference Proceedings, 24 (EWRL).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  21. On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension

    Seldin, Yevgeny & Schölkopf, B., 2013, Festschrift in Honor of Vladimir N. Vapnik. Springer

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

  22. Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions

    Abbasi-Yadkori, Y., Bartlett, P. L., Kanade, V., Seldin, Yevgeny & Szepesvári, C., 2013, Advances in Neural Information Processing Systems (NIPS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  23. Open problem: Adversarial multiarmed bandits with limited advice

    Seldin, Yevgeny, Crammer, K. & Bartlett, P. L., 2013, JMLR Workshop and Conference Proceedings, 30 (COLT).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  24. PAC-Bayes-Empirical-Bernstein Inequality

    Tolstikhin, I. & Seldin, Yevgeny, 2013, Advances in Neural Information Processing Systems (NIPS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  25. 2014

  26. One practical algorithm for both stochastic and adversarial bandits

    Seldin, Yevgeny & Slivkins, A., 2014, JMLR Workshop and Conference Proceedings, 32 (ICML).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  27. Prediction with limited advice and multiarmed bandits with paid observations

    Seldin, Yevgeny, Bartlett, P. L., Crammer, K. & Abbasi-Yadkori, Y., 2014, JMLR Workshop and Conference Proceedings, 32 (ICML).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  28. 2016
  29. Udgivet

    An improved multileaving algorithm for online ranker evaluation

    Brost, B., Cox, Ingemar Johansson, Seldin, Yevgeny & Lioma, Christina, 2016, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval: SIGIR '16. Association for Computing Machinery, s. 745-748 4 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  30. Udgivet

    Multi-dueling bandits and their application to online ranker evaluation

    Brost, B., Seldin, Yevgeny, Cox, Ingemar Johansson & Lioma, Christina, 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2161-2166 6 s. (ACM International Conference on Information and Knowledge Management).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  31. 2017
  32. Udgivet

    A strongly quasiconvex PAC-Bayesian bound

    Thiemann, N., Igel, Christian, Wintenberger, O. & Seldin, Yevgeny, 2017, Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . Hanneke, S. & Reyzin, L. (red.). Proceedings of Machine Learning Research, s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  33. Udgivet

    An improved parametrization and analysis of the EXP3++ algorithm for stochastic and adversarial bandits

    Seldin, Yevgeny & Lugosi, G., 2017, Proceedings of Conference on Learning Theory, 7-10 July 2017, Amsterdam, Netherlands. Kale, S. & Shamir, O. (red.). Proceedings of Machine Learning Research, s. 1743-1759 (Proceedings of Machine Learning Research, Bind 65).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  34. 2018
  35. Udgivet

    Adaptation to Easy Data in Prediction with Limited Advice

    Thune, T. S. & Seldin, Yevgeny, 2018, Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. NIPS Proceedings, 10. (Advances in Neural Information Processing Systems, Bind 31).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  36. Udgivet

    Factored Bandits

    Zimmert, J. U. & Seldin, Yevgeny, 2018, Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada.. NIPS Proceedings, 10 s. (Advances in Neural Information Processing Systems, Bind 31).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  37. 2019
  38. Udgivet

    An Optimal Algorithm for Stochastic and Adversarial Bandits

    Zimmert, J. U. & Seldin, Yevgeny, 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS). Chaudhuri, K. & Sugiyama, M. (red.). PMLR, s. 467-475 (Proceedings of Machine Learning Research, Bind 89).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  39. Udgivet

    Nonstochastic multiarmed bandits with unrestricted delays

    Thune, T. S., Cesa-Bianchi, N. & Seldin, Yevgeny, 2019, Advances in Neural Information Processing Systems 32 (NeurIPS). NIPS Proceedings, 10 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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ID: 120818606