Solving String Equations with Constant Restrictions. - Peter Auer (IWWERT, 1991)

Unification in the Combination of Disjoint Theories. - Peter Auer (IWWERT, 1991)

Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. - Kurt Hornik; Maxwell B. Stinchcombe; Halbert White; Peter Auer (Neural Comput., 1994)

Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. - Peter Auer; Nicolò Cesa-Bianchi; Yoav Freund; Robert E. Schapire (FOCS, 1995)

Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. - Peter Auer; Robert C. Holte; Wolfgang Maass 001 (ICML, 1995)

Exponentially many local minima for single neurons. - Peter Auer; Mark Herbster; Manfred K. Warmuth (NIPS, 1995)

On the Complexity of Function Learning. - Peter Auer; Philip M. Long; Wolfgang Maass 001; Gerhard J. Woeginger (Mach. Learn., 1995)

Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). - Peter Auer; Stephen Kwek; Wolfgang Maass 001; Manfred K. Warmuth (COLT, 1996)

Tight Bounds on the Cumulative Profit of Distributed Voters (Abstract). - Peter Auer; Pasquale Caianiello; Nicolò Cesa-Bianchi (PODC, 1996)

On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. - Peter Auer (ICML, 1997)

The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note). - Jyrki Kivinen; Manfred K. Warmuth; Peter Auer (Artif. Intell., 1997)

Learning Nested Differences in the Presence of Malicious Noise. - Peter Auer (Theor. Comput. Sci., 1997)

Approximating Hyper-Rectangles: Learning and Pseudorandom Sets. - Peter Auer; Philip M. Long; Aravind Srinivasan (J. Comput. Syst. Sci., 1998)

Tracking the Best Disjunction. - Peter Auer; Manfred K. Warmuth (Mach. Learn., 1998)

Structural Results About On-line Learning Models With and Without Queries. - Peter Auer; Philip M. Long (Mach. Learn., 1999)

An Improved On-line Algorithm for Learning Linear Evaluation Functions. - Peter Auer (COLT, 2000)

Adaptive and Self-Confident On-Line Learning Algorithms. - Peter Auer; Claudio Gentile (COLT, 2000)

Using Upper Confidence Bounds for Online Learning. - Peter Auer (FOCS, 2000)

Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes - Peter Auer; Stephen Kwek; Wolfgang Maass 001; Manfred K. Warmuth (Electron. Colloquium Comput. Complex., 2000)

On-line Learning of Rectangles in Noisy Environments - Peter Auer (Electron. Colloquium Comput. Complex., 2000)

On Learning from Ambiguous Information - Peter Auer (Electron. Colloquium Comput. Complex., 2000)

Simulating Access to Hidden Information while Learning - Peter Auer; Philip M. Long (Electron. Colloquium Comput. Complex., 2000)

Gambling in a rigged casino: The adversarial multi-armed bandit problem - Peter Auer; Nicolò Cesa-Bianchi; Yoav Freund; Robert E. Schapire (Electron. Colloquium Comput. Complex., 2000)

On-line Learning with Malicious Noise and the Closure Algorithm - Peter Auer; Nicolò Cesa-Bianchi (Electron. Colloquium Comput. Complex., 2000)

Approximating Hyper-Rectangles: Learning and Pseudo-random Sets - Peter Auer; Philip M. Long; Aravind Srinivasan (Electron. Colloquium Comput. Complex., 2000)

Reducing Communication for Distributed Learning in Neural Networks. - Peter Auer; Harald Burgsteiner; Wolfgang Maass 001 (ICANN, 2002)

The InfoSky visual explorer: exploiting hierarchical structure and document similarities. - Keith Andrews; Wolfgang Kienreich; Vedran Sabol; Jutta Becker; Georg Droschl; Frank Kappe; Michael Granitzer; Peter Auer; Klaus Tochtermann (Inf. Vis., 2002)

Adaptive and Self-Confident On-Line Learning Algorithms. - Peter Auer; Nicolò Cesa-Bianchi; Claudio Gentile (J. Comput. Syst. Sci., 2002)

Using Confidence Bounds for Exploitation-Exploration Trade-offs. - Peter Auer (J. Mach. Learn. Res., 2002)

Finite-time Analysis of the Multiarmed Bandit Problem. - Peter Auer; Nicolò Cesa-Bianchi; Paul Fischer (Mach. Learn., 2002)

The Nonstochastic Multiarmed Bandit Problem. - Peter Auer; Nicolò Cesa-Bianchi; Yoav Freund; Robert E. Schapire (SIAM J. Comput., 2002)

Weak Hypotheses and Boosting for Generic Object Detection and Recognition. - Andreas Opelt; Michael Fussenegger; Axel Pinz; Peter Auer (ECCV (2), 2004)

A Boosting Approach to Multiple Instance Learning. - Peter Auer; Ronald Ortner (ECML, 2004)

Object Recognition Using Segmentation for Feature Detection. - Michael Fussenegger; Andreas Opelt; Axel Pinz; Peter Auer (ICPR (3), 2004)

A Simple Feature Extraction for High Dimensional Image Representations. - Christian Savu-Krohn; Peter Auer (SLSFS, 2005)

Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring. - Chamy Allenberg; Peter Auer; László Györfi; György Ottucsák (ALT, 2006)

Visual Classification of Images by Learning Geometric Appearances Through Boosting. - Martin Antenreiter; Christian Savu-Krohn; Peter Auer (ANNPR, 2006)

Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning. - Peter Auer; Ronald Ortner (NIPS, 2006)

A distributed voting scheme to maximize preferences. - Peter Auer; Nicolò Cesa-Bianchi (RAIRO Theor. Informatics Appl., 2006)

Generic Object Recognition with Boosting. - Andreas Opelt; Axel Pinz; Michael Fussenegger; Peter Auer (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Improved Rates for the Stochastic Continuum-Armed Bandit Problem. - Peter Auer; Ronald Ortner; Csaba Szepesvári (COLT, 2007)

A new PAC bound for intersection-closed concept classes. - Peter Auer; Ronald Ortner (Mach. Learn., 2007)

An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback. - Alex Po Leung; Peter Auer (ICDM Workshops, 2008)

Guest editors' introduction: Special issue on learning theory. - Peter Auer; Philip M. Long (J. Comput. Syst. Sci., 2008)

A learning rule for very simple universal approximators consisting of a single layer of perceptrons. - Peter Auer; Harald Burgsteiner; Wolfgang Maass 001 (Neural Networks, 2008)

Learning with Malicious Noise. - Peter Auer (Encyclopedia of Algorithms, 2008)

Workshop summary: On-line learning with limited feedback. - Jean-Yves Audibert; Peter Auer; Alessandro Lazaric; Rémi Munos; Daniil Ryabko; Csaba Szepesvári (ICML, 2009)

Consistent Interpretation of Image Sequences to Improve Object Models on the Fly. - Johann Prankl; Martin Antenreiter; Peter Auer; Markus Vincze (ICVS, 2009)

Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. - Zakria Hussain; Alex Po Leung; Kitsuchart Pasupa; David R. Hardoon; Peter Auer; John Shawe-Taylor (ECML/PKDD (1), 2010)

Pinview: Implicit Feedback in Content-Based Image Retrieval. - Peter Auer; Zakria Hussain; Samuel Kaski; Arto Klami; Jussi Kujala; Jorma Laaksonen; Alex Po Leung; Kitsuchart Pasupa; John Shawe-Taylor (WAPA, 2010)

Near-optimal Regret Bounds for Reinforcement Learning. - Thomas Jaksch; Ronald Ortner; Peter Auer (J. Mach. Learn. Res., 2010)

UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem. - Peter Auer; Ronald Ortner (Period. Math. Hung., 2010)

Online Learning. - Peter Auer (Encyclopedia of Machine Learning, 2010)

Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). - Peter Auer; Shiau Hong Lim; Chris Watkins (ALT, 2011)

Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. - Alexandra Carpentier; Alessandro Lazaric; Mohammad Ghavamzadeh; Rémi Munos; Peter Auer (ALT, 2011)

Models for Autonomously Motivated Exploration in Reinforcement Learning. - Peter Auer; Shiau Hong Lim; Chris Watkins (Discovery Science, 2011)

Invited Talk: UCRL and Autonomous Exploration. - Peter Auer (EWRL, 2011)

Exploration and Exploitation in Online Learning. - Peter Auer (ICAIS, 2011)

PAC-Bayesian Analysis of Contextual Bandits. - Yevgeny Seldin; Peter Auer; François Laviolette; John Shawe-Taylor; Ronald Ortner (NIPS, 2011)

Noisy Search with Comparative Feedback. - Shiau Hong Lim; Peter Auer (UAI, 2011)

PAC-Bayesian Analysis of Martingales and Multiarmed Bandits - Yevgeny Seldin; François Laviolette; John Shawe-Taylor; Jan Peters 001; Peter Auer (CoRR, 2011)

PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off - Yevgeny Seldin; Nicolò Cesa-Bianchi; François Laviolette; Peter Auer; John Shawe-Taylor; Jan Peters 001 (CoRR, 2011)

Relevance Feedback Models for Content-Based Image Retrieval. - Peter Auer; Alex Po Leung (Multimedia Analysis, Processing and Communications, 2011)

Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments. - Yevgeny Seldin; Csaba Szepesvári; Peter Auer; Yasin Abbasi-Yadkori (EWRL, 2012)

PAC Subset Selection in Stochastic Multi-armed Bandits. - Shivaram Kalyanakrishnan; Ambuj Tewari; Peter Auer; Peter Stone 001 (ICML, 2012)

Autonomous Exploration For Navigating In MDPs. - Shiau Hong Lim; Peter Auer (COLT, 2012)

PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. - Yevgeny Seldin; Nicolò Cesa-Bianchi; Peter Auer; François Laviolette; John Shawe-Taylor (ICML On-line Trading of Exploration and Exploitation, 2012)

PAC-Bayesian Inequalities for Martingales. - Yevgeny Seldin; François Laviolette; Nicolò Cesa-Bianchi; John Shawe-Taylor; Peter Auer (IEEE Trans. Inf. Theory, 2012)

Reinforcement Learning (Dagstuhl Seminar 13321). - Peter Auer; Marcus Hutter; Laurent Orseau (Dagstuhl Reports, 2013)

Editors' Introduction. - Peter Auer; Alexander Clark; Thomas Zeugmann; Sandra Zilles (ALT, 2014)

Regret bounds for restless Markov bandits. - Ronald Ortner; Daniil Ryabko; Peter Auer; Rémi Munos (Theor. Comput. Sci., 2014)

Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits. - Alexandra Carpentier; Alessandro Lazaric; Mohammad Ghavamzadeh; Rémi Munos; Peter Auer; András Antos (CoRR, 2015)

Pareto Front Identification from Stochastic Bandit Feedback. - Peter Auer; Chao-Kai Chiang; Ronald Ortner; Madalina M. Drugan (AISTATS, 2016)

An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. - Peter Auer; Chao-Kai Chiang (COLT, 2016)

Guest editors' foreword. - Peter Auer; Alexander Clark; Thomas Zeugmann (Theor. Comput. Sci., 2016)

Learning with Malicious Noise. - Peter Auer (Encyclopedia of Algorithms, 2016)

Optimal Online Learning with Randomized Feedback Graphs with Application in PUE Attacks in CRN. - Monireh Dabaghchian; Amir Alipour-Fanid; Kai Zeng 001; Qingsi Wang; Peter Auer (CoRR, 2017)

Online Learning. - Peter Auer (Encyclopedia of Machine Learning and Data Mining, 2017)

A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions. - Pratik Gajane; Ronald Ortner; Peter Auer (CoRR, 2018)

Online Learning With Randomized Feedback Graphs for Optimal PUE Attacks in Cognitive Radio Networks. - Monireh Dabaghchian; Amir Alipour-Fanid; Kai Zeng 001; Qingsi Wang; Peter Auer (IEEE/ACM Trans. Netw., 2018)

Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. - Peter Auer; Yifang Chen; Pratik Gajane; Chung-Wei Lee; Haipeng Luo; Ronald Ortner; Chen-Yu Wei (COLT, 2019)

Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes. - Peter Auer; Pratik Gajane; Ronald Ortner (COLT, 2019)

Variational Regret Bounds for Reinforcement Learning. - Ronald Ortner; Pratik Gajane; Peter Auer (UAI, 2019)

Autonomous exploration for navigating in non-stationary CMPs. - Pratik Gajane; Ronald Ortner; Peter Auer; Csaba Szepesvári (CoRR, 2019)

Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning. - Phongsathorn Kittiworapanya; Kitsuchart Pasupa; Peter Auer (IAIT, 2021)

Learning to Drive with Deep Reinforcement Learning. - Nut Chukamphaeng; Kitsuchart Pasupa; Martin Antenreiter; Peter Auer (KST, 2021)

A new heuristic and an exact approach for a production planning problem. - Peter Auer; György Dósa; Tibor Dulai; Armin Fügenschuh; Peggy Näser; Ronald Ortner; Agnes Werner-Stark (Central Eur. J. Oper. Res., 2021)

Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data. - Anika Terbuch; Paul O'Leary; Peter Auer (I2MTC, 2022)

Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. - Pratik Gajane; Peter Auer; Ronald Ortner (IJCAI, 2023)

Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning. - Anika Terbuch; Paul O'Leary; Negin Khalili-Motlagh-Kasmaei; Peter Auer; Alexander Zöhrer; Vincent Winter (IEEE Trans. Instrum. Meas., 2023)

The bin covering with delivery problem, extended investigations for the online case. - Gyula Abraham; Peter Auer; György Dósa; Tibor Dulai; Zsolt Tuza; Agnes Werner-Stark (Central Eur. J. Oper. Res., 2023)

The vowel space of multiethnolectal (Stuttgart) German. - Daniel Duran 001; Peter Auer (Phonetica, 2025)

Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback. - Ofir Schlisselberg; Tal Lancewicki; Peter Auer; Yishay Mansour (CoRR, 2025)