Peter Auer
Research output
- 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
Learning to Drive with Deep Reinforcement Learning
Chukamphaeng, N., Pasupa, K., Antenreiter, M. & Auer, P., 21 Jan 2021, KST 2021 - 2021 13th International Conference Knowledge and Smart Technology. Institute of Electrical and Electronics Engineers, p. 147-152 6 p. 9415770. (KST 2021 - 2021 13th International Conference Knowledge and Smart Technology).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings 2005
Auer, P. (Co-editor), 2005, Springer. (LNCS; vol. 3559)Research output: Book/Report › Book › Research
- 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
Learning Nested Differences in the Presence of Malicious Noise
Auer, P., 1995, 6th International Workshop, ALT 95. p. 123-137Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning Nested Differences in the Presence of Malicious Noise
Auer, P., 1997, In: Theoretical Computer Science. 185, p. 159-175Research output: Contribution to journal › Article › Research › peer-review
- 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
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
Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data
Terbuch, A., O'Leary, P. & Auer, P., 2022, I2MTC 2022 - IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement under Pandemic Constraints, Proceedings. Institute of Electrical and Electronics Engineers, (Conference Record - IEEE Instrumentation and Measurement Technology Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Hannan consistency in online learning in case of unbounded losses under partial monitoring
Auer, P., Allenberg, C., Györfi, L. & Ottucsák, G., 2006, Algorithmic Learning Theory. Springer, p. 229-243Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
