Department Mathematics and Information Technology

Organisational unit: Departments and Institutes

Research output

  1. Published

    Guest Editors' Foreword

    Ortner, R. & Ulrich Simon, H., 2018, In: Theoretical Computer Science. 742

    Research output: Contribution to journalArticleResearch

  2. Published

    Variational Regret Bounds for Reinforcement Learning

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

    Research output: Contribution to conferencePaperpeer-review

  3. E-pub ahead of print

    Regret Bounds for Learning State Representations in Reinforcement Learning

    Ortner, R., Pirotta, M., Lazaric, A., Fruit, R. & Maillard, O.-A., 2019, (E-pub ahead of print) Advances in Neural Information Processing Systems. Vol. 32. p. 12717 12727 p.

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

  4. Published

    Regret Bounds for Learning State Representations in Reinforcement Learning

    Ortner, R., Pirotta, M., Lazaric, A., Fruit, R. & Maillard, O.-A., Dec 2019.

    Research output: Contribution to conferencePosterResearchpeer-review

  5. Published

    Regret Bounds for Reinforcement Learning via Markov Chain Concentration

    Ortner, R., 23 Jan 2020, In: The journal of artificial intelligence research. 67.2020, 1, p. 115-128 14 p.

    Research output: Contribution to journalArticleResearchpeer-review

  6. Published

    Variational Regret Bounds for Reinforcement Learning

    Ortner, R., Gajane, P. & Auer, P., 2019, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, UAI 2019. p. 81-90

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

  7. Published

    Regret Bounds for Reinforcement Learning via Markov Chain Concentration

    Ortner, R., 26 Aug 2021.

    Research output: Contribution to conferencePosterResearchpeer-review

  8. Published

    Adaptive Algorithms for Meta-Induction

    Ortner, R., 7 Oct 2023, In: Journal for general philosophy of science = Zeitschrift für allgemeine Wissenschaftstheorie. 54.2023, 3, p. 433–450 18 p.

    Research output: Contribution to journalArticleResearchpeer-review

  9. Published

    Generic object recognition with Boosting

    Opelt, A., Pinz, A., Fussenegger, M. & Auer, P., 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, p. 416-431

    Research output: Contribution to journalArticleResearchpeer-review

  10. Published

    Weak hypotheses and boosting for generic object detection and recognition

    Opelt, A., Fussenegger, M., Pinz, A. & Auer, P., 2004, Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. p. 71-84

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