Peter Auer
Research output
- Published
Geochemical fingerprinting of coltan ores by machine learning on uneven datasets
Savu-Krohn, C., Rantitsch, G., Auer, P., Melcher, F. & Graupner, T., 2011, In: Natural Resources Research. 20, 3, p. 177-191Research output: Contribution to journal › Article › Research › peer-review
- Published
Geochemical fingerprinting of coltan ores by machine learning on uneven data sets
Savu-Krohn, C., Rantitsch, G., Auer, P., Melcher, F. & Graupner, T., 2011, In: Natural Resources Research. 20, p. 177-191Research output: Contribution to journal › Article › Research › peer-review
- Published
A Simple Feature Extraction for High Dimensional Image Representations
Savu-Krohn, C. & Auer, P., 2006, Subspace, Latent Structure and Feature Selection. p. 163-172Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets
Savu-Krohn, C., Rantitsch, G., Auer, P., Melcher, F. & Graupner, T., 2010, Geochemical fingerprinting of Coltan ores by machine learning on uneven datasets. Geoaustria, p. 217-218Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Understanding the Gaps in Satisficing Bandits
Rouyer, C., Ortner, R. & Auer, P., 2024.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Consistent Interpretation of Image Sequences to Improve Object Models on the fly
Prankl, J., Antenreiter, M., Auer, P. & Vincze, M., 2009, Computer Vision Systems. p. 384-393Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
