Peter Auer

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Research output

  1. 2024
  2. Published

    Machine learning assisted calibration of PVT simulations for SiC crystal growth

    Taucher, L., Ramadan, Z., Hammer, R., Obermüller, T., Auer, P. & Romaner, L., 10 Oct 2024, In: CrystEngComm. 44.2024, 26, p. 6322-6335 14 p.

    Research output: Contribution to journal › Article › Research › peer-review

  3. Published

    Multi-Armed Bandits in IEEE 802.11ac: Efficient Algorithms and Testbed Experiments

    Le, M., Bile, P., Pawar, S. P., Auer, P., Thapa, P. D., Hühn, T. & Jorswieck, E. A., 2024, 2024 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. Published

    Understanding the Gaps in Satisficing Bandits

    Rouyer, C., Ortner, R. & Auer, P., 2024.

    Research output: Contribution to conference › Poster › Research › peer-review

  5. 2023
  6. Published

    Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning

    Terbuch, A., O'Leary, P., Khalilimotlaghkasmaei, N., Auer, P., Zöhrer, A. & Winter, V., 12 Jan 2023, In: IEEE transactions on instrumentation and measurement. 72.2023, 13 p., 2503711.

    Research output: Contribution to journal › Article › Research › peer-review

  7. Published

    Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms

    Gajane, P., Auer, P. & Ortner, R., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23). p. 3714-3722

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  8. 2022
  9. E-pub ahead of print

    The bin covering with delivery problem, extended investigations for the online case

    Abraham, G., Auer, P., Dosa, G., Dulai, T., Tuza, Z. & Werner-Stark, Á., 30 Apr 2022, (E-pub ahead of print) In: Central European Journal of Operations Research. 31.2023, March, p. 21-47 27 p.

    Research output: Contribution to journal › Article › Research › peer-review

  10. 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

  11. 2021
  12. Published

    A new heuristic and an exact approach for a production planning problem

    Auer, P., Dósa, G., Dulai, T., Fügenschuh, A., Näser, P., Ortner, R. & Werner-Starkne, A., Sept 2021, In: Central European Journal of Operations Research. 29, 3, p. 1079-1113 35 p.

    Research output: Contribution to journal › Article › Research › peer-review

  13. 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

  14. 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

  15. Published

    Grid Load Mitigation in EV Fast Charging Stations Through Integration of a High-Performance Flywheel Energy Storage System with CFRP Rotor

    Buchroithner, A., Presmair, R., Haidl, P., Wegleiter, H., Thormann, B., Kienberger, T., Auer, P. & Domitner, J., 2021, 2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021. Institute of Electrical and Electronics Engineers, (2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  16. 2019
  17. Published

    A Reinforcement Learning Motivated Algorithm for Process Optimization

    Ábrahám, Á., Auer, P., Dósa, G., Dulai, T. & Werner-Stark, Á., 18 Dec 2019, In: Periodica Polytechnica Civil Engineering. 63.2019, 4, p. 961-970 10 p.

    Research output: Contribution to journal › Article › Research › peer-review

  18. 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

  19. Published

    Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information

    Auer, P., Chen, Y., Gajane, P., Lee, C.-W., Luo, H., Ortner, R. & Wei, C.-Y., 2019.

    Research output: Contribution to conference › Abstract › peer-review

  20. 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. 138-158

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  21. Published

    Variational Regret Bounds for Reinforcement Learning

    Ortner, R., Gajane, P. & Auer, P., 2019.

    Research output: Contribution to conference › Paper › peer-review

  22. 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. 81-90

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  23. 2018
  24. Published

    Online learning with randomized feedback graphs for optimal PUE attacks in cognitive radio networks

    Dabaghchian, M., Alipour-Fanid, A., Zeng, K., Wang, Q. & Auer, P., 1 Oct 2018, In: IEEE ACM transactions on networking. 26, 5, p. 2268-2281 14 p., 8466108.

    Research output: Contribution to journal › Article › Research › peer-review

  25. 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

  26. 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

  27. Published

    A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.

    Gajane, P., Ortner, R. & Auer, P., 2018.

    Research output: Contribution to conference › Paper › peer-review

  28. 2017
  29. Published

    Online Learning

    Auer, P., 2017, Encyclopedia of Machine Learning and Data Mining.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

  30. 2016
  31. Published

    Algorithmic Learning Theory

    Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: Theoretical Computer Science. 650, p. 1-3

    Research output: Contribution to journal › Special issue › Research › peer-review

  32. Published

    Guest editors' foreword

    Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: Theoretical Computer Science. 650.2016, 18 October, p. 1-3 3 p.

    Research output: Contribution to journal › Letter › peer-review

  33. Published

    An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits

    Auer, P. & Chiang, C.-K., 23 Jun 2016, Proceedings of the 29th Conference on Learning Theory, COLT 2016. p. 116-120 (JMLR Workshop and Conference Proceedings; vol. 49).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  34. Published

    Learning with Malicious Noise

    Auer, P., 22 Apr 2016, Encyclopedia of Algorithms. Springer, p. 1086-1089

    Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › Research

  35. 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

  36. 2014
  37. Published

    Algorithmic Learning Theory: 25th International Conference, ALT 2014 Bled, Slovenia, October 8-10, 2014 Proceedings

    Auer, P. (Co-editor), Clark, A. (Co-editor), Zeugmann, T. (Co-editor) & Zilles, S. (Co-editor), 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Berlin, Vol. 8776. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8776).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  38. Published

    Editors’ introduction

    Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 1 Jan 2014, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8776, p. 1-7 7 p.

    Research output: Contribution to journal › Editorial › peer-review

  39. Published

    Regret Bounds for Restless Markov Bandits

    Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2014, In: Theoretical Computer Science. 558, p. 62-76

    Research output: Contribution to journal › Article › Research › peer-review

  40. 2013
  41. Published

    Reinforcement Learning (Dagstuhl Seminar 13321)

    Auer, P., 2013, In: Dagstuhl Reports. 3, p. 1-26

    Research output: Contribution to journal › Article › Research › peer-review

  42. 2012
  43. Published

    Autonomous Exploration For Navigating In MDPs.

    Lim, S. H. & Auer, P., 2012, Proceedings of the 25th Annual Conference on Learning Theory. p. 40.1-40.24

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  44. Published

    Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments

    Seldin, Y., Szepesvári, C., Auer, P. & Abbasi-Yadkori, Y., 2012, Proceedings of the Tenth European Workshop on Reinforcement Learning, EWRL 2012. p. 103-116 (JMLR proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  45. Published

    PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.

    Seldin, Y., Cesa-Bianchi, N., Auer, P., Laviolette, F. & Shawe-Taylor, J., 2012, Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2. p. 98-111

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  46. Published

    PAC-Bayesian Analysis of Contextual Bandits

    Seldin, Y., Auer, P., Laviolette, F., Shawe-Taylor, J. S. & Ortner, R., 2012, Advances in Neural Information Processing Systems 24. MIT Press, p. 1683-1691

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  47. 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

  48. 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. 7086-7093

    Research output: Contribution to journal › Article › Research › peer-review

  49. 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

  50. 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. 214-228

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  51. 2011
  52. Published

    Upper-confidence-bound algorithms for active learning in multi-armed bandits

    Carpentier, A., Lazaric, A., Ghavamzadeh, M., Munos, R. & Auer, P., 20 Oct 2011, Algorithmic Learning Theory - 22nd International Conference, ALT 2011, Proceedings. p. 189-203 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6925 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  53. Published

    Exploration and Exploitation in Online Learning

    Auer, P., 2011, International Conference on Adaptive and Intelligent Symstems - ICAIS 2011. p. 2-2

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  54. 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. 177-191

    Research output: Contribution to journal › Article › Research › peer-review

  55. 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. 177-191

    Research output: Contribution to journal › Article › Research › peer-review

  56. Published

    Models for Autonomously Motivated Exploration in Reinforcement Learning

    Auer, P., Lim, S. H. & Watkins, C., 2011, The Fourteenth International Conference on Discovery Science (DS 2011). p. 29-29

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  57. Published

    Noisy Search with Comparative Feedback

    Auer, P. & Lim, S. H., 2011.

    Research output: Contribution to conference › Poster › Research › peer-review

  58. Published

    PAC-Bayesian Analysis of Contextual Bandits

    Seldin, Y., Auer, P., Laviolette, F., Shawe-Taylor, J. S. & Ortner, R., 2011.

    Research output: Contribution to conference › Poster › Research › peer-review

  59. Published

    Upper-Confidence-Bound Algorithms for Active Learning in Mulit-armed Bandits

    Auer, P., Carpentier, A., Lazaric, A., Ghavamzadeh, M. & Munos, R., 2011, The 22nd International Conference on Algorithmic Learning Theory. p. 189-203

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  60. 2010
  61. Published

    Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval

    Hussain, Z., Leung, P., Pasupa, K., Hardoon, D., Auer, P. & Shawe-Taylor, J., 2010, Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. p. 2010-2010

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  62. 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. 217-218

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  63. Published

    Near-optimal Regret Bounds for Reinforcement Learning

    Jaksch, T., Ortner, R. & Auer, P., 2010, In: Journal of machine learning research (JMLR). 11, p. 1563-1600

    Research output: Contribution to journal › Article › Research › peer-review

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