Department Mathematics and Information Technology
Organisational unit: Departments and Institutes
Research output
- 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. 48-77Research output: Contribution to journal › Article › Research › peer-review
- 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. 408-414Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Generic object recognition with boosting
Auer, P., Opelt, A., Fussenegger, M. & Pinz, A., 2004Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
Learning of Depth Two Neurals Nets with Constant Fan-in at the Hidden Nodes
Auer, P., Kwek, S., Maass, W. & Warmuth, M. K., 1996, Proc. of the Ninth Annual ACM Conference on Computational Learning Theory. p. 333-343Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Near-optimal Regret Bounds for Reinforcement Learning
Auer, P., Jaksch, T. & Ortner, R., 2009Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
On Learning from Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach
Auer, P., 1997, On Learning from Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. p. 21-29Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Introduction to the Special Issue on Computational Learning Theory
Auer, P. & Maas, W., 1998, In: Algorithmica. 22, p. 1-2Research output: Contribution to journal › Article › Research › peer-review
- Published
Learning with Malicious Noise
Auer, P., 2008, Encyclopedia of Algorithms. p. 1-99Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- Published
Improved Rates for the Stochastic Continuum-Armed Bandit Problem
Auer, P., Ortner, R. & Szepesvári, C., 2007, Proceedings of the 20th Annual Conference on Learning Theory. Springer, p. 454-468Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Using confidence bounds for exploitation-exploration trade-offs
Auer, P., 2002, In: Journal of machine learning research (JMLR). p. 397-422Research output: Contribution to journal › Article › Research › peer-review
