Peter Auer
Research output
- 2024
- 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
- 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
- Published
Understanding the Gaps in Satisficing Bandits
Rouyer, C., Ortner, R. & Auer, P., 2024.Research output: Contribution to conference › Poster › Research › peer-review
- 2023
- 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
- 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. 3714-3722Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2022
- 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
- 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
- 2021
- 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
- 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
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
- 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
- 2019
- 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
- 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
- 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
- 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. 138-158Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- 2018
- 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
- 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
- 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
- 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
- 2017
- Published
Online Learning
Auer, P., 2017, Encyclopedia of Machine Learning and Data Mining.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- 2016
- Published
Algorithmic Learning Theory
Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: Theoretical Computer Science. 650, p. 1-3Research output: Contribution to journal › Special issue › Research › peer-review
- 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
- 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
- Published
Learning with Malicious Noise
Auer, P., 22 Apr 2016, Encyclopedia of Algorithms. Springer, p. 1086-1089Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › Research
- 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
- 2014
- 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
- 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
- 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
- 2013
- Published
Reinforcement Learning (Dagstuhl Seminar 13321)
Auer, P., 2013, In: Dagstuhl Reports. 3, p. 1-26Research output: Contribution to journal › Article › Research › peer-review
- 2012
- Published
Autonomous Exploration For Navigating In MDPs.
Lim, S. H. & Auer, P., 2012, Proceedings of the 25th Annual Conference on Learning Theory. p. 40.1-40.24Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- 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. 98-111Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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. 1683-1691Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
- 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 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
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
- 2011
- 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
- Published
Exploration and Exploitation in Online Learning
Auer, P., 2011, International Conference on Adaptive and Intelligent Symstems - ICAIS 2011. p. 2-2Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
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
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. 29-29Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Noisy Search with Comparative Feedback
Auer, P. & Lim, S. H., 2011.Research output: Contribution to conference › Poster › Research › peer-review
- 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
- 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. 189-203Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2010
- 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. 2010-2010Research 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
Near-optimal Regret Bounds for Reinforcement Learning
Jaksch, T., Ortner, R. & Auer, P., 2010, In: Journal of machine learning research (JMLR). 11, p. 1563-1600Research output: Contribution to journal › Article › Research › peer-review
- 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
UCB Revisited: Improved Regret Bounds for the Stochastic Multi-Armed Bandit Problem
Auer, P. & Ortner, R., 2010, In: Periodica Mathematica Hungarica. 61, p. 55-65Research output: Contribution to journal › Article › Research › peer-review
- 2009
- Published
Combining Classifiers for Improved Multilabel Image Classification
Antenreiter, M., Ortner, R. & Auer, P., 2009, Learning from Multi-label Data, MLD Workshop at ECML 2009. p. 16-27Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Combining Classifiers for Improved Multilabel Image Classification
Antenreiter, M., Ortner, R. & Auer, P., 2009.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
Near-optimal Regret Bounds for Reinforcement Learning
Auer, P., Jaksch, T. & Ortner, R., 2009Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
Near-optimal Regret Bounds for Reinforcement Learning
Auer, P., Jaksch, T. & Ortner, R., 2009, Advances in neural information processing systems 21. MIT Press, p. 89-96Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Relevance Feedback Models for Content-Based Image Retrieval
Auer, P. & Leung, P., 2009, Multimedia Analysis, Processing and Communications.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- Published
Using a spatio-temporal reasoning system to improve object models on the fly
Antenreiter, M., Prankl, J., Vincze, M. & Auer, P., 2009, 33rd Workshop of the Austrian Association for Pattern Recognition - Visual Learning. p. 25-36Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2008
- Published
Guest editors' introduction: Special issue on learning theory
Auer, P. & Long, P. M., 1 Dec 2008, In: Journal of Computer and System Sciences. 74, 8, 1 p.Research output: Contribution to journal › Editorial › peer-review
- Published
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. 786-795Research output: Contribution to journal › Article › Research › peer-review
- Published
An efficient search algorithm for content-based image retrieval with user feedback
Leung, P. & Auer, P., 2008, An efficient search algorithm for content-based image retrieval with user feedback. p. 0-0Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning with Malicious Noise
Auer, P., 2008, Encyclopedia of Algorithms. p. 1-99Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- Published
Near-optimal Regret Bounds for Reinforcement Learning
Auer, P., Jaksch, T. & Ortner, R., 2008.Research output: Contribution to conference › Poster › Research › peer-review
- 2007
- Published
A new PAC bound for intersection-closed concept classes
Auer, P. & Ortner, R., 2007, In: Machine learning. 66, p. 151-163Research output: Contribution to journal › Article › Research › peer-review
- Published
Improved Rates for the Stochastic Continuum-Armed Bandit Problem
Auer, P., Ortner, R. & Szepesvári, C., 2007, Proceedings of the 20th Annual Conference on Learning Theory. Springer, p. 454-468Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2007, Advances in Neural Information Processing Systems 19. MIT Press, p. 49-56Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2006
- Published
Hannan consistency in on-line learning in case of unbounded losses under partial monitoring
Allenberg, C., Auer, P., Györfi, L. & Ottucsák, G., 1 Jan 2006, Algorithmic Learning Theory - 17th International Conference, ALT 2006, Proceedings. Springer Berlin, p. 229-243 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4264 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A distributed voting scheme to maximize preferences
Auer, P. & Cesa-Bianchi, N., 2006, In: Theoretical Informatics and Applications = Informatique théorique et applications. p. 389-403Research output: Contribution to journal › Article › Research › peer-review
- Published
A reasoning system to track movements of totally occluded objects
Antenreiter, M. & Auer, P., 2006, International Cognitive Vision Workshop. Österr. Computer-Ges., p. 1-6Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
Empirical evaluation of a new online reinforcement learning algorithm
Auer, P., Jaksch, T. & Ortner, R., 2006Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
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. 416-431Research output: Contribution to journal › Article › Research › peer-review
- Published
Hannan consistency in online learning in case of unbounded losses under partial monitoring
Auer, P., Allenberg, C., Györfi, L. & Ottucsák, G., 2006, Algorithmic Learning Theory. Springer, p. 229-243Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2006.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Visual Classification of Images by Learning Geometric Appearances Through Boosting
Antenreiter, M., Savu-Krohn, C. & Auer, P., 2006, IAPR Workshop, ANNPR. Springer, p. 233-243Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2005
- Published
Experiments with hierarchical text classification
Granitzer, M. & Auer, P., 1 Dec 2005, Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005. p. 177-182 6 p. (Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A boosting approach to multiple-instance learning
Auer, P. & Ortner, R., 2005Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
A Simple Feature Extraction for High Dimensional Image Representations (preliminary version)
Savu-Krohn, C. & Auer, P., 2005, 1st Austrian Cognitive Vision Workshop. Österr. Computer-Ges., p. 27-32Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings 2005
Auer, P. (Co-editor), 2005, Springer. (LNCS; vol. 3559)Research output: Book/Report › Book › Research
- Published
Object recognition using geometric properties and a variant of boosting
Auer, P. & Antenreiter, M., 2005, 1st Austrian Cognitive Vision Workshop, 2005. Österr. Computer-Ges., p. 43-50Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Online Regret Bounds for a New Reinforcement Learning Algorithm
Auer, P. & Ortner, R., 2005, 1st Austrian Cognitive Vision Workshop. Österr. Computer-Ges., p. 35-42Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2004
- Published
A Boosting Approach to Multiple Instance Learning
Auer, P. & Ortner, R., 2004, Machine Learning, 15th European Conference on Machine Learning, ECML 2004. Springer, p. 63-74Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A New PAC-bound for Intersection-closed Concept Classes
Auer, P. & Ortner, R., 2004, Learning Theory, 17th Annual Conference on Learning Theory. Springer, p. 408-414Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Generic object recognition with boosting
Auer, P., Opelt, A., Fussenegger, M. & Pinz, A., 2004Research output: Book/Report › Commissioned report › Transfer › peer-review
- Published
Object recognition using segmentation for feature detection
Fussenegger, M., Opelt, A., Pinz, A. & Auer, P., 2004, 17th International Conference on Pattern Recognition (ICPR 2004). p. 41-44Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Object recognition using segmentation for feature detection
Fussenegger, M., Opelt, A., Pinz, A. & Auer, P., 2004, Digital Imaging in Media and Education, Proc. of the 28th OEAGM/AAPR Conference; OCG 2004 (179 Schriftenreihe). p. 103-110Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Weak hypotheses and boosting for generic object detection and recognition
Opelt, A., Fussenegger, M., Pinz, A. & Auer, P., 2004, Computer Vision - ECCV 2004, 8th European Conference on Computer Vision. p. 71-84Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2002
- Published
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. 48-78Research output: Contribution to journal › Article › Research › peer-review
- Published
Finite Time Analysis of the Multiarmed Bandit Problem
Auer, P., Cesa-Bianchi, N. & Fischer, P., 2002, In: Machine learning. 47, p. 235-256Research 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
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
- Published
The nonstochastic multiarmed bandit problem
Auer, P., Cesa-Bianchi, N., Freund, N. & Schapire, R. E., 2002, In: SIAM Journal on Computing. 32 (1), p. 48-77Research output: Contribution to journal › Article › Research › peer-review
- Published
Using confidence bounds for exploitation-exploration trade-offs
Auer, P., 2002, In: Journal of machine learning research (JMLR). p. 397-422Research output: Contribution to journal › Article › Research › peer-review
- 2000
- Published
Adaptive and Self-Confident On-Line Learning Algorithms
Auer, P. & Gentile, C., 2000, Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000). Springer, p. 107-117Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
An Improved On-line Algorithm for Learning Linear Evaluation Functions
Auer, P., 2000, Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000). Springer, p. 118-125Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Using Upper Confidence Bounds for Online Learning
Auer, P., 2000, 41th Annual Symposium on Foundations of Computer Science. p. 270-293Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 1999
- Published
Finite Time Analysis of the Multiarmed Bandit Problem
Auer, P., Cesa-Bianchi, N. & Fischer, P., 1999, IT Workshop on Decision, Estimation, Classification and Imaging. p. ---Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Structural Results About On-Line Learning Models With and Without Queries
Auer, P. & Long, P. M., 1999, In: Machine learning. 36, p. 147-181Research output: Contribution to journal › Article › Research › peer-review
- 1998
- Published
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. 376-388Research output: Contribution to journal › Article › Research › peer-review