Departments and Chairs

Organisational unit: Departments and Institutes

Research output

  1. Published

    Tight Bounds on the Cumulative Profit of Distributed Voters

    Auer, P., Caianiello, P. & Cesa-Bianchi, N., 1996, Proc. of the 15th Annual ACM Symposium on Principles of Distributed Computing. p. 312-312

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

  2. Published

    Limit Laws for the Maximal and Minimal Increments of the Poisson Process

    Auer, P. & Hornik, K., 1996, In: Studia Scientiarum Mathematicarum Hungarica. 31, p. 1-13

    Research output: Contribution to journalArticleResearchpeer-review

  3. Published

    Empirical evaluation of a new online reinforcement learning algorithm

    Auer, P., Jaksch, T. & Ortner, R., 2006

    Research output: Book/ReportCommissioned reportTransferpeer-review

  4. Published

    Pinview: Implicit Feedback in Content-Based Image Retrieval

    Auer, P., Hussain, Z., Kaski, S., Klami, A., Kujala, J., Laaksonen, J., Leung, P., Pasupa, K. & Shawe-Taylor, J., 2010, Pinview: Implicit Feedback in Content-Based Image Retrieval. p. 0-0

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

  5. Published

    Object recognition using geometric properties and a variant of boosting

    Auer, P. & Antenreiter, M., 2005, 1st Austrian Cognitive Vision Workshop, 2005. Österr. Computer-Ges., p. 43-50

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

  6. Published

    Reducing communication for distributed learning in neural networks

    Auer, P., Burgsteiner, H. & Maass, W., 2002, Proc. of the International Conference on Artificial Neural Networks - ICANN 2002. p. 123-128

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

  7. Published

    A boosting approach to multiple-instance learning

    Auer, P. & Ortner, R., 2005

    Research output: Book/ReportCommissioned reportTransferpeer-review

  8. Published

    Reinforcement Learning (Dagstuhl Seminar 13321)

    Auer, P., 2013, In: Dagstuhl Reports. 3, p. 1-26

    Research output: Contribution to journalArticleResearchpeer-review

  9. Published

    The nonstochastic multiarmed bandit problem

    Auer, P., Cesa-Bianchi, N., Freund, N. & Schapire, R. E., 2002, In: SIAM Journal on Computing. 32 (1), p. 48-77

    Research output: Contribution to journalArticleResearchpeer-review

  10. Published

    A New PAC-bound for Intersection-closed Concept Classes

    Auer, P. & Ortner, R., 2004, Learning Theory, 17th Annual Conference on Learning Theory. Springer, p. 408-414

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