Yevgeny Seldin

Yevgeny Seldin

Professor


  1. 2021
  2. Published

    Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions

    Masoudian, Saeed & Seldin, Yevgeny, Jul 2021, Conference on Learning Theory (COLT 2021). PMLR, p. 3330-3350 (Proceedings of Machine Learning Research, Vol. 134).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    An algorithm for stochastic and adversarial bandits with switching costs

    Rouyer, Chloé, Seldin, Yevgeny & Cesa-Bianchi, N., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, p. 9127-9135 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

    Wu, Yi Shan, Masegosa, A. R., Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-12

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits

    Zimmert, J. U. & Seldin, Yevgeny, 2021, In: Journal of Machine Learning Research. 22, 49 p., 28.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2020
  7. Published

    An optimal algorithm for adversarial bandits with arbitrary delays

    Zimmert, J. U. & Seldin, Yevgeny, 2020, Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, 9 p. (Proceedings of Machine Learning Research, Vol. 108).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

    Masegosa, A. R., Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    Tsallis-INF for decoupled exploration and exploitation in multi-armed bandits

    Rouyer, Chloé & Seldin, Yevgeny, 2020, Proceedings of Thirty Third Conference on Learning Theory(COLT). PMLR, p. 3227-3249 (Proceedings of Machine Learning Research, Vol. 125).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. 2019
  11. Published

    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. (eds.). PMLR, p. 467-475 (Proceedings of Machine Learning Research, Vol. 89).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

    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 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  13. Published

    On PAC-Bayesian bounds for random forests

    Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2019, In: Machine Learning. 108, 8-9, p. 1503-1522

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. 2018
  15. Published

    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, Vol. 31).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  16. Published

    Factored Bandits

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  17. 2017
  18. Published

    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. (eds.). Proceedings of Machine Learning Research, p. 466-492 (Proceedings of Machine Learning Research, Vol. 76).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  19. Published

    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. (eds.). Proceedings of Machine Learning Research, p. 1743-1759 (Proceedings of Machine Learning Research, Vol. 65).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  20. 2016
  21. Published

    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, p. 745-748 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  22. Published

    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, p. 2161-2166 6 p. (ACM International Conference on Information and Knowledge Management).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  23. 2014
  24. One practical algorithm for both stochastic and adversarial bandits

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  25. 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).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  26. 2013
  27. 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).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  28. 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

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  29. 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).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  30. Open problem: Adversarial multiarmed bandits with limited advice

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  31. PAC-Bayes-Empirical-Bernstein Inequality

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  32. 2012
  33. 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.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  34. PAC-Bayesian inequalities for martingales

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  35. 2011
  36. 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).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  37. 2010
  38. PAC-Bayesian analysis of co-clustering and beyond

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  39. 2009
  40. Published

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

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  41. 2008
  42. Published

    Multi-classification by categorical features via clustering

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  43. 2007
  44. Published

    Information bottleneck for non co-occurrence data

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  45. 2003
  46. Published

    Unsupervised segmentation and classification of mixtures of Markovian sources

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

    Research output: Contribution to conferencePaperResearchpeer-review

  47. 2001
  48. Published

    Markovian domain fingerprinting: statistical segmentation of protein sequences

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  49. Published

    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).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 120818606