Peter Auer
Research output
- Published
Reinforcement Learning (Dagstuhl Seminar 13321)
Auer, P., 2013, In: Dagstuhl Reports. 3, p. 1-26Research 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
Reducing communication for distributed learning in neural networks
Auer, P., Burgsteiner, H. & Maass, W., 2002, Proc. of the International Conference on Artificial Neural Networks - ICANN 2002. p. 123-128Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Pinview: Implicit Feedback in Content-Based Image Retrieval
Auer, P., Hussain, Z., Kaski, S., Klami, A., Kujala, J., Laaksonen, J., Leung, P., Pasupa, K. & Shawe-Taylor, J., 2010, Pinview: Implicit Feedback in Content-Based Image Retrieval. p. 0-0Research 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., 29 Jun 2021, IAIT 2021 - 12th International Conference on Advances in Information Technology: Intelligence and Innovation for Digital Business and Society. Association for Computing Machinery (ACM), 3471273. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- 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
PAC-Bayesian Inequalities for Martingales.
Seldin, Y., Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, In: IEEE transactions on information theory. 58, p. 7086-7093Research output: Contribution to journal › Article › Research › peer-review
- Published
PAC-Bayesian Inequalities for Martingales
Seldin, Y., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
