Peter Auer
Publications / Theses
- Published
PAC Subset Selection in Stochastic Multi-armed Bandits
Kalyanakrishnan, S., Tewari, A., Auer, P. & Stone, P., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning
Kittiworapanya, P., Pasupa, K. & Auer, P., 2021, IAIT2021: The 12th International Conference on Advances in Information Technology.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
An efficient search algorithm for content-based image retrieval with user feedback
Leung, P. & Auer, P., 2008, An efficient search algorithm for content-based image retrieval with user feedback. p. 0-0Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- Published
Weak hypotheses and boosting for generic object detection and recognition
Opelt, A., Fussenegger, M., Pinz, A. & Auer, P., 2004, Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. p. 71-84Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Generic object recognition with Boosting
Opelt, A., Pinz, A., Fussenegger, M. & Auer, P., 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, p. 416-431Research output: Contribution to journal › Article › Research › peer-review
- Published
Regret Bounds for Restless Markov Bandits
Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2012, Algorithmic Learning Theory 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings. p. 214-228Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- Published
Variational Regret Bounds for Reinforcement Learning
Ortner, R., Gajane, P. & Auer, P., 2019.Research output: Contribution to conference › Paper › peer-review
- Published
Variational Regret Bounds for Reinforcement Learning
Ortner, R., Gajane, P. & Auer, P., 2019, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, UAI 2019. p. 81-90Research output: Chapter in Book/Report/Conference proceeding › Conference contribution