| 2023 | IJCAI | Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. | Pratik Gajane, Peter Auer, Ronald Ortner |
| 2019 | COLT | 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 |
| 2019 | COLT | Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes. | Peter Auer, Pratik Gajane, Ronald Ortner |
| 2019 | UAI | Variational Regret Bounds for Reinforcement Learning. | Ronald Ortner, Pratik Gajane, Peter Auer |
| 2016 | AISTATS | Pareto Front Identification from Stochastic Bandit Feedback. | Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan |
| 2016 | COLT | An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. | Peter Auer, Chao-Kai Chiang |
| 2014 | ALT | Editors' Introduction. | Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles |
| 2012 | ALT | Regret Bounds for Restless Markov Bandits. | Ronald Ortner, Daniil Ryabko, Peter Auer, Rmi Munos |
| 2012 | ICML | PAC Subset Selection in Stochastic Multi-armed Bandits. | Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone |
| 2012 | UAI | PAC-Bayesian Inequalities for Martingales. | Yevgeny Seldin, Franois Laviolette, Nicol Cesa-Bianchi, John Shawe-Taylor, Peter Auer |
| 2011 | ALT | Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). | Peter Auer, Shiau Hong Lim, Chris Watkins |
| 2011 | ALT | Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. | Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rmi Munos, Peter Auer |
| 2011 | DIS | Models for Autonomously Motivated Exploration in Reinforcement Learning. | Peter Auer, Shiau Hong Lim, Chris Watkins |
| 2011 | UAI | Noisy Search with Comparative Feedback. | Shiau Hong Lim, Peter Auer |
| 2009 | ICML | Workshop summary: On-line learning with limited feedback. | Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rmi Munos, Daniil Ryabko, Csaba Szepesvri |
| 2009 | ICVS | Consistent Interpretation of Image Sequences to Improve Object Models on the Fly. | Johann Prankl, Martin Antenreiter, Peter Auer, Markus Vincze |
| 2008 | ICDM | An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback. | Alex Po Leung, Peter Auer |
| 2007 | COLT | Improved Rates for the Stochastic Continuum-Armed Bandit Problem. | Peter Auer, Ronald Ortner, Csaba Szepesvri |
| 2006 | ALT | Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring. | Chamy Allenberg, Peter Auer, Lszl Gyrfi, Gyrgy Ottucsk |
| 2004 | COLT | A New PAC Bound for Intersection-Closed Concept Classes. | Peter Auer, Ronald Ortner |
| 2004 | ECCV | Weak Hypotheses and Boosting for Generic Object Detection and Recognition. | Andreas Opelt, Michael Fussenegger, Axel Pinz, Peter Auer |
| 2004 | ICPR | Object Recognition Using Segmentation for Feature Detection. | Michael Fussenegger, Andreas Opelt, Axel Pinz, Peter Auer |
| 2002 | ICANN | Reducing Communication for Distributed Learning in Neural Networks. | Peter Auer, Harald Burgsteiner, Wolfgang Maass |
| 2000 | COLT | An Improved On-line Algorithm for Learning Linear Evaluation Functions. | Peter Auer |
| 2000 | COLT | Adaptive and Self-Confident On-Line Learning Algorithms. | Peter Auer, Claudio Gentile |
| 2000 | FOCS | Using Upper Confidence Bounds for Online Learning. | Peter Auer |
| 1997 | ICML | On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. | Peter Auer |
| 1997 | STOC | Approximating Hyper-Rectangles: Learning and Pseudo-Random Sets. | Peter Auer, Philip M. Long, Aravind Srinivasan |
| 1996 | COLT | Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). | Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth |
| 1996 | PODC | Tight Bounds on the Cumulative Profit of Distributed Voters (Abstract). | Peter Auer, Pasquale Caianiello, Nicol Cesa-Bianchi |
| 1995 | ALT | Learning Nested Differences in the Presence of Malicious Noise. | Peter Auer |
| 1995 | FOCS | Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. | Peter Auer, Nicol Cesa-Bianchi, Yoav Freund, Robert E. Schapire |
| 1995 | FOCS | Tracking the Best Disjunction. | Peter Auer, Manfred K. Warmuth |
| 1995 | ICML | Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. | Peter Auer, Robert C. Holte, Wolfgang Maass |
| 1994 | ALT | On-line Learning with Malicious Noise and the Closure Algorithm. | Peter Auer, Nicol Cesa-Bianchi |
| 1994 | STOC | Simulating access to hidden information while learning. | Peter Auer, Philip M. Long |
| 1993 | COLT | On-Line Learning of Rectangles in Noisy Environments. | Peter Auer |
| 1993 | COLT | On the Complexity of Function Learning. | Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger |