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 2022 2023 2024 2025

• 5650 Citations
• 24 h-index
• 90 Conference contribution
• 56 Article
• 23 Master's Thesis
• 22 Poster
• 30 More
  • 6 Chapter
  • 5 Software
  • 4 Commissioned report
  • 4 Paper
  • 2 Book
  • 2 Doctoral Thesis
  • 1 Anthology
  • 1 Entry for encyclopedia/dictionary
  • 1 Abstract
  • 1 Editorial
  • 1 Letter
  • 1 Special issue
  • 1 Web publication/site

Research output per year

Research output per year

Search results

• 2025

  Online Regret Bounds for Satisficing in MDPs

  Hajiabolhassan, H. & Ortner, R., 2025, (Accepted/In press) In: Mathematics of Operations Research. ??? Stand: 25. April 2025, ??? Stand: 25. April 2025

  Research output: Contribution to journal › Article › Research › peer-review
• 2024

  Automatic and time-resolved determination of fracture characteristics from in situ experiments

  Schmuck, K. S., Antenreiter, M., Alfreider, M. & Kiener, D., Jul 2024, In: Materials & design. 243.2024, July, 12 p., 113038.

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

  Open Access

  File
  72 Downloads (Pure)

• 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
• 2023

  Adaptive Algorithms for Meta-Induction

  Ortner, R., 7 Oct 2023, In: Journal for general philosophy of science = Zeitschrift für allgemeine Wissenschaftstheorie. 54.2023, 3, p. 433–450 18 p.

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

  Open Access

• 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

  Open Access

• FunQG: Molecular Representation Learning Via Quotient Graphs

  Hajiabolhassan, H., Taheri, Z., Hojatnia, A. & Taheri Yeganeh, Y., 15 May 2023, In: Journal of chemical information and modeling. 63.2023, 11, p. 3275-3287 13 p.

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

• Regret Bounds for Satisficing in Multi-Armed Bandit Problems

  Michel, T., Hajiabolhassan, H. & Ortner, R., 7 Jun 2023, In: Transactions on machine learning research. 2023, August, 19 p.

  Research output: Contribution to journal › Article › Research › peer-review
• 2022

  Predicting Packaging Sizes Using Machine Learning

  Heininger, M. & Ortner, R., 22 Aug 2022, In: Operations research forum. 43.2022, 3, 14 p., 43.

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

  Open Access

• 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

  Open Access
• 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., 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

  Open Access
  1 Citation (Scopus)
• 2020

  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

  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
  1 Citation (Scopus)
• 2018

  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
  9 Citations (Scopus)
• 2016

  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)
• 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
• 2014

  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
  13 Citations (Scopus)
• 2013

  Adaptive Aggregation for Reinforcement Learning in Average Reward Markov Decision Processes

  Ortner, R., 2013, In: Annals of operations research. 208, p. 321-336

  Research output: Contribution to journal › Article › Research › peer-review
  11 Citations (Scopus)

• Linear regression with random projections.

  Maillard, O.-A., 2013, In: Journal of machine learning research (JMLR). 13, p. 1-1

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

  Open Access

  File
  28 Downloads (Pure)

• Reinforcement Learning (Dagstuhl Seminar 13321)

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

  Research output: Contribution to journal › Article › Research › peer-review
• 2012

  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

  30 Citations (Scopus)
• 2010

  Near-optimal Regret Bounds for Reinforcement Learning

  Translated title of the contribution: Near-optimal Regret Bounds for Reinforcement LearningJaksch, 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
  282 Citations (Scopus)

• Online Regret Bounds for Markov Decision Processes with Deterministic Transitions

  Ortner, R., 2010, In: Theoretical Computer Science. 411, p. 2684-2695

  Research output: Contribution to journal › Article › Research › peer-review
  8 Citations (Scopus)

• UCB Revisited: Improved Regret Bounds for the Stochastic Multi-Armed Bandit Problem

  Auer, P. & Ortner, R., 2010, In: Periodica Mathematica Hungarica. 61, p. 55-65

  Research output: Contribution to journal › Article › Research › peer-review
  109 Citations (Scopus)
• 2008

  A learning rule for very simple universal approximators consisting of a single layer of perceptrons

  Auer, P., Burgsteiner, H. & Maass, W., 2008, In: Neural networks. 21, p. 786-795

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

  102 Citations (Scopus)

• A Note on Convex Realizability of Arrangements of Pseudocircles

  Linhart, J. & Ortner, R., 2008, In: Geombinatorics. XVIII, p. 66-71

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

• Embeddability of arrangements of pseudocircles into the sphere

  Ortner, R., 2008, In: European journal of combinatorics. 29, p. 457-469

  Research output: Contribution to journal › Article › Research › peer-review
  2 Citations (Scopus)

• Joining Two Paradigms of Machine Learning

  Ortner, R., 2008, In: ÖGAI-Journal. 27, p. 3-6

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

• Optimism in the Face of Uncertainty Should be Refutable

  Ortner, R., 2008, In: Minds and Machines. 18, p. 521-526

  Research output: Contribution to journal › Article › Research › peer-review
  4 Citations (Scopus)
• 2007

  A new PAC bound for intersection-closed concept classes

  Auer, P. & Ortner, R., 2007, In: Machine learning. 66, p. 151-163

  Research output: Contribution to journal › Article › Research › peer-review
  8 Citations (Scopus)

• Linear dependence of stationary distributions in ergodic Markov decision processes

  Ortner, R., 2007, In: Operations Research Letters. 35, p. 619-626

  Research output: Contribution to journal › Article › Research › peer-review
  4 Citations (Scopus)

• Non-backtracking random walks and cogrowth of graphs

  Ortner, R. & Woess, W., 2007, In: Canadian journal of mathematics : Journal canadien de mathématiques. 59, p. 828-844

  Research output: Contribution to journal › Article › Research › peer-review
  20 Citations (Scopus)
• 2006

  A distributed voting scheme to maximize preferences

  Auer, P. & Cesa-Bianchi, N., 2006, In: Theoretical Informatics and Applications = Informatique théorique et applications. p. 389-403

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

• 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. 416-431

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

  297 Citations (Scopus)
• 2005

  An Arrangement of Pseudocircles not Realizable with Circles

  Translated title of the contribution: An Arrangement of Pseudocircles not Realizable with CirclesLinhart, J. & Ortner, R., 2005, In: Beiträge zur Algebra und Geometrie = Contributions to algebra and geometry. 46, p. 351-356

  Research output: Contribution to journal › Article › Research › peer-review
  5 Citations (Scopus)
• 2004

  On the Combinatorial Structure of Arrangements of Oriented Pseudocircles

  Linhart, J. & Ortner, R., 2004, In: The journal of combinatorics. 11, p. R30-R30

  Research output: Contribution to journal › Article › Research › peer-review
  4 Citations (Scopus)
• 2002

  Adaptive and self-confident online learning algorithms

  Auer, P., Cesa-Bianchi, N. & Gentile, C., 2002, In: Journal of computer and system sciences (JCSS). 64, p. 48-78

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

  120 Citations (Scopus)

• Finite Time Analysis of the Multiarmed Bandit Problem

  Auer, P., Cesa-Bianchi, N. & Fischer, P., 2002, In: Machine learning. 47, p. 235-256

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

  3032 Citations (Scopus)

• The InfoSky viusal explorer: Exploiting Hierarchical Structure and Document Similarities

  Andrews, K., Kienreich, W., Sabol, V., Becker, J., Droschl, G., Kappe, F., Granitzer, M., Auer, P. & Tochtermann, K., 2002, In: Information Visualization. 1.2002, 3-4, p. 166-181 16 p.

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

• The nonstochastic multiarmed bandit problem

  Auer, P., Cesa-Bianchi, N., Freund, N. & Schapire, R. E., 2002, In: SIAM Journal on Computing. 32 (1), p. 48-77

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

• Using confidence bounds for exploitation-exploration trade-offs

  Auer, P., 2002, In: Journal of machine learning research (JMLR). p. 397-422

  Research output: Contribution to journal › Article › Research › peer-review
• 1999

  Structural Results About On-Line Learning Models With and Without Queries

  Auer, P. & Long, P. M., 1999, In: Machine learning. 36, p. 147-181

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

  10 Citations (Scopus)
• 1998

  Approximating Hyper-Rechtangles: Learning and Pseudorandon Sets

  Auer, P., Long, P. M. & Srinivasan, A., 1998, In: Journal of computer and system sciences (JCSS). 57, p. 376-388

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

  32 Citations (Scopus)

• Introduction to the Special Issue on Computational Learning Theory

  Auer, P. & Maas, W., 1998, In: Algorithmica. 22, p. 1-2

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

• On Learning from Ambiguous Information

  Auer, P., 1998, In: Periodica polytechnica / Electrical engineering. 1, p. 115-122

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

• On-line Learning with Malicious Noise and the Closure Algorithm

  Auer, P. & Cesa-Bianchi, N., 1998, In: Annals of mathematics and artificial intelligence. 23, p. 83-99

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

  29 Citations (Scopus)

• Tracking the Best Disjunction

  Auer, P. & Warmuth, M. K., 1998, In: Machine learning. 32, p. 127-150

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

  51 Citations (Scopus)
• 1997

  Learning Nested Differences in the Presence of Malicious Noise

  Auer, P., 1997, In: Theoretical Computer Science. 185, p. 159-175

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

  10 Citations (Scopus)

• The Perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant

  Auer, P., Kivinen, J. & Warmuth, M. K., 1997, In: Artificial intelligence. p. 325-343

  Research output: Contribution to journal › Article › Research › peer-review
• 1996

  Limit Laws for the Maximal and Minimal Increments of the Poisson Process

  Auer, P. & Hornik, K., 1996, In: Studia Scientiarum Mathematicarum Hungarica. 31, p. 1-13

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