Peter Auer
Research output
- 2017
- Published
Online Learning
Auer, P. 2017 Encyclopedia of Machine Learning and Data Mining.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- 2016
- Published
Algorithmic Learning Theory
Auer, P., Clark, A. & Zeugmann, T. 18 Oct 2016 In : THEORETICAL COMPUTER SCIENCE. 650, p. 1-3Research output: Contribution to journal › Special issue › Research › peer-review
- 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 › Research
- Published
Learning with Malicious Noise
Auer, P. 22 Apr 2016 Encyclopedia of Algorithms. Springer, p. 1086-1089Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › Research
- 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 › Research
- 2014
- 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 Verlag, 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 › Research
- Published
Regret Bounds for Restless Markov Bandits
Ortner, R., Ryabko, D., Auer, P. & Munos, R. 2014 In : Theoretical computer science. 558, p. 62-76Research output: Contribution to journal › Article › Research › peer-review
- 2013
- Published
Reinforcement Learning (Dagstuhl Seminar 13321)
Auer, P. 2013 In : Dagstuhl Reports. 3, p. 1-26Research output: Contribution to journal › Article › Research › peer-review
- 2012
- Published
Autonomous Exploration For Navigating In MDPs.
Lim, S. H. & Auer, P. 2012 Proceedings of the 25th Annual Conference on Learning Theory. p. 40.1-40.24Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
- Published
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments
Seldin, Y., Szepesvári, C., Auer, P. & Abbasi-Yadkori, Y. 2012 Proceedings of the Tenth European Workshop on Reinforcement Learning, EWRL 2012. p. 103-116 (JMLR proceedings)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
