Ronald Ortner

Research output

  1. Published

    Pareto Front Identification from Stochastic Bandit Feedback

    Auer, P., Chiang, C.-K., Ortner, R. & Drugan, M., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 939-947 (JMLR Workshop and Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Published

    Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 2018.

    Research output: Contribution to conferencePaperpeer-review

  3. Published

    Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 2018.

    Research output: Contribution to conferencePosterResearchpeer-review

  4. Published

    Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 27 Jun 2019.

    Research output: Contribution to conferencePosterResearchpeer-review

  5. Published

    Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information

    Auer, P., Chen, Y., Gajane, P., Lee, C.-W., Luo, H., Ortner, R. & Wei, C.-Y., 2019.

    Research output: Contribution to conferenceAbstractpeer-review

  6. Published

    A new heuristic and an exact approach for a production planning problem

    Auer, P., Dósa, G., Dulai, T., Fügenschuh, A., Näser, P., Ortner, R. & Werner-Starkne, A., Sept 2021, In: Central European Journal of Operations Research. 29, 3, p. 1079-1113 35 p.

    Research output: Contribution to journalArticleResearchpeer-review

  7. Published

    Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes

    Auer, P., Gajane, P. & Ortner, R., 2019, Proceedings of the 32nd Conference on Learning Theory, COLT 2019. p. 138-158

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Published

    Combining Classifiers for Improved Multilabel Image Classification

    Antenreiter, M., Ortner, R. & Auer, P., 2009, Learning from Multi-label Data, MLD Workshop at ECML 2009. p. 16-27

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Published

    Combining Classifiers for Improved Multilabel Image Classification

    Antenreiter, M., Ortner, R. & Auer, P., 2009.

    Research output: Contribution to conferencePosterResearchpeer-review

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