Department Mathematics and Information Technology
Organisational unit: Departments and Institutes
Research output
- Published
A distributed voting scheme to maximize preferences
Auer, P. & Cesa-Bianchi, N., 2006, In: Theoretical Informatics and Applications = Informatique théorique et applications. p. 389-403Research output: Contribution to journal › Article › Research › peer-review
- Published
A Deep Neural Network Algorithm for Semilinear Elliptic PDEs with Applications in Insurance Mathematics
Kremsner, S., Steinicke, A. & Szölgyenyi, M., 9 Dec 2020, In: Risks. 8, 4, p. 1-18 18 p., 136.Research output: Contribution to journal › Article › Research › peer-review
- Published
A Decomposition Method for the Deterministic Flow Refueling Location Problem (DFRLP)
Höller, M., 2024Research output: Thesis › Master's Thesis
- Published
Additive functions for number systems in function fields
Madritsch, M. & Thuswaldner, J., 2010, In: Finite fields and their applications. 16, p. 204-229Research output: Contribution to journal › Article › Research › peer-review
- Published
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes
Auer, P., Gajane, P. & Ortner, R., 27 Jun 2019.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes
Auer, P., Gajane, P. & Ortner, R., 2019, Proceedings of the 32nd Conference on Learning Theory, COLT 2019. p. 138-158Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes
Auer, P., Gajane, P. & Ortner, R., 2018.Research output: Contribution to conference › Paper › peer-review
- Published
Adaptively Tracking the Best Arm with an Unknown Number of Distribution Changes
Auer, P., Gajane, P. & Ortner, R., 2018.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Adaptive bandits: Towards the best history-dependent strategy
Maillard, O.-A., 2011, Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. p. 570-578Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Adaptive and Self-Confident On-Line Learning Algorithms
Auer, P. & Gentile, C., 2000, Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000). Springer, p. 107-117Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
