Research output

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  1. 2016
  2. Published

    Guest editors' foreword

    Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: Theoretical Computer Science. 650.2016, 18 October, p. 1-3 3 p.

    Research output: Contribution to journal › Letter › peer-review

  3. Published

    An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits

    Auer, P. & Chiang, C-K., 23 Jun 2016, Proceedings of the 29th Conference on Learning Theory, COLT 2016. p. 116-120 (JMLR Workshop and Conference Proceedings; vol. 49).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. Published

    Learning with Malicious Noise

    Auer, P., 22 Apr 2016, Encyclopedia of Algorithms. Springer, p. 1086-1089

    Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › Research

  5. 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 proceeding › Conference contribution

  6. 2014
  7. Published

    Algorithmic Learning Theory: 25th International Conference, ALT 2014 Bled, Slovenia, October 8-10, 2014 Proceedings

    Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Berlin, Vol. 8776. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8776).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  8. Published

    Editors’ introduction

    Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 1 Jan 2014, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8776, p. 1-7 7 p.

    Research output: Contribution to journal › Editorial › peer-review

  9. Published

    Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions

    Chiang, C-K., 2014, Asian Conference on Machine Learning. p. 0-0

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  10. Published

    Regret Bounds for Restless Markov Bandits

    Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2014, In: Theoretical Computer Science. 558, p. 62-76

    Research output: Contribution to journal › Article › Research › peer-review

  11. 2013
  12. Published

    Beating Bandits in Gradually Evolving Worlds

    Chiang, C-K., 2013, Conference on Learning Theory. Shalev-Shwartz, S. & Steinwart, I. (eds.). p. 210-227 (JMLR Workshop and Conference Proceedings; vol. 30).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  13. Published

    Reinforcement Learning (Dagstuhl Seminar 13321)

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

    Research output: Contribution to journal › Article › Research › peer-review

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