Chair of Information Technology (150)

Research output

Research output per year 1989 1998 2002 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2016 2017 2018 2019 2021 2021

• 5405 Citations
• 23 h-index
• 81 Conference contribution
• 47 Article
• 18 Poster
• 14 Master's Thesis
• 28 More
  • 6 Chapter
  • 4 Commissioned report
  • 4 Paper
  • 4 Software
  • 2 Editorial
  • 2 Doctoral Thesis
  • 1 Anthology
  • 1 Book
  • 1 Entry for encyclopedia/dictionary
  • 1 Abstract
  • 1 Special issue
  • 1 Web publication/site

Research output per year

Research output per year

Search results

• 2021

  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., 2021, In: Central European Journal of Operations Research. 29.2021, September, p. 1079-1113 35 p.

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

  Open Access
  1 Citation (Scopus)

• Gambler Bandits and the Regret of Being Ruined

  Perotto, F., Vakili, S., Gajane, P., Faghan, Y. & Bourgais, M., 17 Mar 2021, (Submitted).

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

• Online Anticipatory Algorithms for Scheduling Problems

  Erler, S., 2021

  Research output: Thesis › Master's Thesis

  Open Access

  File
  67 Downloads (Pure)

• 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

• Regret Bounds for Reinforcement Learning via Markov Chain Concentration

  Ortner, R., 26 Aug 2021.

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

• Vorhersage der Verpackungsgröße einer Lieferung in einem E-Commerce-Unternehmen mittels Machine Learning

  Translated title of the contribution: Prediction of the packaging size of a delivery in an e-commerce company using machine learningHeininger, M., 2021

  Research output: Thesis › Master's Thesis

  Open Access

  File
  12 Downloads (Pure)
• 2020

  A fast video compression algorithm for online exams

  Antenreiter, M., 11 Sept 2020

  Research output: Non-textual form › Software › Research

• Clusteranalyse für die Bildung von Produktgruppen zur Unterstützung der Lagerdimensionierung

  Translated title of the contribution: Identification of product groups through clustering for warehouse planningKohlhofer, J. B., 2020

  Research output: Thesis › Master's Thesis

• Maschinelles Lernen in der Nachschubsteuerung - Verbesserung der Nachschubsteuerung durch den Einsatz von maschinellem Lernen in der Bedarfsprognose

  Translated title of the contribution: Machine Learning in Replenishment Control - Improvement of Replenishment Control using Machine Learning for Demand ForecastingLabner, J., 2020

  Research output: Thesis › Master's Thesis

• Online exam proctoring system

  Antenreiter, M., 16 Oct 2020

  Research output: Non-textual form › Software › Education

• Regret Bounds for Reinforcement Learning via Markov Chain Concentration

  Ortner, R., 23 Jan 2020, In: The journal of artificial intelligence research. 67.2020, 1, p. 115-128 14 p.

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

  Open Access
  3 Citations (Scopus)
• 2019

  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

  Open Access

• 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

  Open Access

• 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

• 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

  Open Access

• Regret Bounds for Learning State Representations in Reinforcement Learning

  Ortner, R., Pirotta, M., Lazaric, A., Fruit, R. & Maillard, O-A., 2019, (E-pub ahead of print) Advances in Neural Information Processing Systems. Vol. 32. p. 12717 12727 p.

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

• Regret Bounds for Learning State Representations in Reinforcement Learning

  Ortner, R., Pirotta, M., Lazaric, A., Fruit, R. & Maillard, O-A., Dec 2019.

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

• 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

  Open Access

• Variational Regret Bounds for Reinforcement Learning

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

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

  7 Citations (Scopus)
• 2018

  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

  Open Access

• 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

• Application of Regression Analysis for Throughput Prediction in the Order Picking Process

  Lahovnik, J., 2018

  Research output: Thesis › Master's Thesis

  Open Access

  File
  52 Downloads (Pure)

• 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

  Open Access

• Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

  Fruit, R., Pirotta, M., Lazaric, A. & Ortner, R., 2018, Proceedings of the 35th International Conference on Machine Learning, ICML 2018. Vol. PMLR 80. p. 1578-1586

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

  Open Access
  13 Citations (Scopus)

• Guest Editors' Foreword

  Ortner, R. & Ulrich Simon, H., 2018, In: THEORETICAL COMPUTER SCIENCE. 742

  Research output: Contribution to journal › Article › Research

• 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
  7 Citations (Scopus)
• 2017

  Automatic Scene Interpretation with Totally Occluded Objects

  Antenreiter, M., 2017

  Research output: Thesis › Doctoral Thesis

  Open Access

  File
  92 Downloads (Pure)

• Machine learning concepts in predictive analytics - A case study on wind turbine data

  Steiner, E., 2017

  Research output: Thesis › Master's Thesis

  Open Access

  File
  61 Downloads (Pure)

• Monte Carlo Tree Search for Job Shop Scheduling Problems

  Reichenhauser, C., 2017

  Research output: Thesis › Master's Thesis

  Open Access

  File
  143 Downloads (Pure)

• Online Learning

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

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

• PSE-AP V1.0: software for predicting the segregation energy based on atom positions

  Antenreiter, M., 6 Oct 2017

  Research output: Non-textual form › Software › Research

• Software for binary classification of uneven geochemical da­tasets V1.0

  Antenreiter, M., 10 Jan 2017

  Research output: Non-textual form › Software › Research
• 2016

  Algorithmic Learning Theory: 27th International Conference, ALT 2016, Proceedings

  Ortner, R., Ulrich Simon, H. & Zilles, S., 2016, Springer.

  Research output: Book/Report › Anthology › Research

• 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

• 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

  Open Access
  12 Citations (Scopus)

• Guest editors' foreword

  Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: THEORETICAL COMPUTER SCIENCE. 650, p. 1-3 3 p.

  Research output: Contribution to journal › Editorial › peer-review
  1 Citation (Scopus)

• Improved Learning Complexity in Combinatorial Pure Exploration Bandits

  Gabillon, V., Lazaric, A., Ghavamzadeh, M., Ortner, R. & Bartlett, P., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 1004-1012 (JMLR Workshop and Conference Proceedings).

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

• Improved Learning Complexity in Combinatorial Pure Exploration Bandits

  Gabillon, V., Lazaric, A., Ghavamzadeh, M., Ortner, R. & Bartlett, P., 10 May 2016.

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

  13 Citations (Scopus)

• 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

• Optimal Behavior is Easier to Learn than the Truth

  Ortner, R., 2016, In: Minds and Machines. 26, 3, p. 243-252

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

  1 Citation (Scopus)

• 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
• 2015

  Forcing Subarrangements in Complete Arrangements of Pseudocircles

  Ortner, R., 2015, In: Journal of Computational Geometry. 6, 1, p. 235-248

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

• Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

  Kailasam, L., Ortner, R. & Ryabko, D., 2015, Proceedings of The 32nd International Conference on Machine Learning.

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

• Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

  Kailasam, L., Ortner, R. & Ryabko, D., 7 Jul 2015.

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

  14 Citations (Scopus)

• Integration von Informationssystemen: Datenaustausch zwischen Teamcenter und Enterprise Applikationen

  Translated title of the contribution: Integration of information systems: Data exchange between teamcenter and enterprise applicationsWötzl, K., 2015

  Research output: Thesis › Master's Thesis

  Open Access

  File
  11 Downloads (Pure)
• 2014

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

  Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 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

• Autonome Roboter in der Intralogistik: Möglichkeiten zur Optimierung der Auftragsverteilung

  Translated title of the contribution: Optimization of Task Assignments for Autonomous Transportation RobotsHimmelsbach, E. S., 2014

  Research output: Thesis › Master's Thesis

  Open Access

  File
  173 Downloads (Pure)

• 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

• Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions

  Chiang, C-K., 2014, Asian Conference on Machine Learning. p. 0-0

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

  1 Citation (Scopus)

• 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
  11 Citations (Scopus)