Peter Auer - RankMe

117 papers A* 23A 4B 8C 2Journal 53Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback. CoRR Ofir Schlisselberg, Tal Lancewicki, Peter Auer, Yishay Mansour
2025	J	`jnl`	The vowel space of multiethnolectal (Stuttgart) German. Phonetica Daniel Duran, Peter Auer
2023	A*	`conf`	Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. IJCAI Pratik Gajane, Peter Auer, Ronald Ortner
2023	J	`jnl`	Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning. IEEE Trans. Instrum. Meas. Anika Terbuch, Paul O'Leary, Negin Khalili-Motlagh-Kasmaei, Peter Auer, Alexander Zöhrer, Vincent Winter
2023	J	`jnl`	The bin covering with delivery problem, extended investigations for the online case. Central Eur. J. Oper. Res. Gyula Abraham, Peter Auer, György Dósa, Tibor Dulai, Zsolt Tuza, Agnes Werner-Stark
2022	—	`conf`	Hybrid Machine Learning for Anomaly Detection in Industrial Time-Series Measurement Data. I2MTC Anika Terbuch, Paul O'Leary, Peter Auer
2021	J	`jnl`	A new heuristic and an exact approach for a production planning problem. Central Eur. J. Oper. Res. Peter Auer, György Dósa, Tibor Dulai, Armin Fügenschuh, Peggy Näser, Ronald Ortner, Agnes Werner-Stark
2021	—	`conf`	Learning to Drive with Deep Reinforcement Learning. KST Nut Chukamphaeng, Kitsuchart Pasupa, Martin Antenreiter, Peter Auer
2021	—	`conf`	Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning. IAIT Phongsathorn Kittiworapanya, Kitsuchart Pasupa, Peter Auer
2019	A*	`conf`	Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. COLT Peter Auer, Yifang Chen, Pratik Gajane, Chung-wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei
2019	A*	`conf`	Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes. COLT Peter Auer, Pratik Gajane, Ronald Ortner
2019	J	`jnl`	Autonomous exploration for navigating in non-stationary CMPs. CoRR Pratik Gajane, Ronald Ortner, Peter Auer, Csaba Szepesvári
2019	A	`conf`	Variational Regret Bounds for Reinforcement Learning. UAI Ronald Ortner, Pratik Gajane, Peter Auer
2019	J	`jnl`	Variational Regret Bounds for Reinforcement Learning. CoRR Pratik Gajane, Ronald Ortner, Peter Auer
2018	J	`jnl`	A Sliding-Window Algorithm for Markov Decision Processes with Arbitrarily Changing Rewards and Transitions. CoRR Pratik Gajane, Ronald Ortner, Peter Auer
2018	J	`jnl`	Online Learning With Randomized Feedback Graphs for Optimal PUE Attacks in Cognitive Radio Networks. IEEE/ACM Trans. Netw. Monireh Dabaghchian, Amir Alipour-Fanid, Kai Zeng, Qingsi Wang, Peter Auer
2017	—	`ch.`	Online Learning. Encyclopedia of Machine Learning and Data Mining Peter Auer
2017	J	`jnl`	Optimal Online Learning with Randomized Feedback Graphs with Application in PUE Attacks in CRN. CoRR Monireh Dabaghchian, Amir Alipour-Fanid, Kai Zeng, Qingsi Wang, Peter Auer
2016	A*	`conf`	An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. COLT Peter Auer, Chao-Kai Chiang
2016	J	`jnl`	An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. CoRR Peter Auer, Chao-Kai Chiang
2016	J	`jnl`	Guest editors' foreword. Theor. Comput. Sci. Peter Auer, Alexander Clark, Thomas Zeugmann
2016	—	`ch.`	Learning with Malicious Noise. Encyclopedia of Algorithms Peter Auer
2016	A	`conf`	Pareto Front Identification from Stochastic Bandit Feedback. AISTATS Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan
2015	J	`jnl`	Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits. CoRR Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer, András Antos
2014	B	`ed.`	Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings ALT Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles
2014	B	`conf`	Editors' Introduction. ALT Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles
2014	J	`jnl`	PinView: Implicit Feedback in Content-Based Image Retrieval. CoRR Zakria Hussain, Arto Klami, Jussi Kujala, Alex Po Leung, Kitsuchart Pasupa, Peter Auer, Samuel Kaski, Jorma Laaksonen, John Shawe-Taylor
2014	J	`jnl`	Regret bounds for restless Markov bandits. Theor. Comput. Sci. Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2013	J	`jnl`	Reinforcement Learning (Dagstuhl Seminar 13321). Dagstuhl Reports Peter Auer, Marcus Hutter, Laurent Orseau
2012	A*	`conf`	Autonomous Exploration For Navigating In MDPs. COLT Shiau Hong Lim, Peter Auer
2012	—	`conf`	Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments. EWRL Yevgeny Seldin, Csaba Szepesvári, Peter Auer, Yasin Abbasi-Yadkori
2012	J	`jnl`	Noisy Search with Comparative Feedback CoRR Shiau Hong Lim, Peter Auer
2012	A*	`conf`	PAC Subset Selection in Stochastic Multi-armed Bandits. ICML Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone
2012	—	`conf`	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. ICML On-line Trading of Exploration and Exploitation Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
2012	A	`conf`	PAC-Bayesian Inequalities for Martingales. UAI Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2012	J	`jnl`	PAC-Bayesian Inequalities for Martingales. IEEE Trans. Inf. Theory Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2012	J	`jnl`	Regret Bounds for Restless Markov Bandits CoRR Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2012	B	`conf`	Regret Bounds for Restless Markov Bandits. ALT Ronald Ortner, Daniil Ryabko, Peter Auer, Rémi Munos
2011	—	`conf`	Exploration and Exploitation in Online Learning. ICAIS Peter Auer
2011	—	`conf`	Invited Talk: UCRL and Autonomous Exploration. EWRL Peter Auer
2011	B	`conf`	Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract). ALT Peter Auer, Shiau Hong Lim, Chris Watkins
2011	B	`conf`	Models for Autonomously Motivated Exploration in Reinforcement Learning. Discovery Science Peter Auer, Shiau Hong Lim, Chris Watkins
2011	A	`conf`	Noisy Search with Comparative Feedback. UAI Shiau Hong Lim, Peter Auer
2011	J	`jnl`	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor
2011	—	`conf`	PAC-Bayesian Analysis of Contextual Bandits. NIPS Yevgeny Seldin, Peter Auer, François Laviolette, John Shawe-Taylor, Ronald Ortner
2011	J	`jnl`	PAC-Bayesian Analysis of Martingales and Multiarmed Bandits CoRR Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer
2011	J	`jnl`	PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters
2011	J	`jnl`	PAC-Bayesian Inequalities for Martingales CoRR Yevgeny Seldin, François Laviolette, Nicolò Cesa-Bianchi, John Shawe-Taylor, Peter Auer
2011	—	`ch.`	Relevance Feedback Models for Content-Based Image Retrieval. Multimedia Analysis, Processing and Communications Peter Auer, Alex Po Leung
2011	B	`conf`	Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. ALT Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer
2010	—	`conf`	Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. ECML/PKDD (1) Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor
2010	J	`jnl`	Near-optimal Regret Bounds for Reinforcement Learning. J. Mach. Learn. Res. Thomas Jaksch, Ronald Ortner, Peter Auer
2010	—	`ch.`	Online Learning. Encyclopedia of Machine Learning Peter Auer
2010	—	`conf`	Pinview: Implicit Feedback in Content-Based Image Retrieval. WAPA Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex Po Leung, Kitsuchart Pasupa, John Shawe-Taylor
2010	J	`jnl`	UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem. Period. Math. Hung. Peter Auer, Ronald Ortner
2009	C	`conf`	Consistent Interpretation of Image Sequences to Improve Object Models on the Fly. ICVS Johann Prankl, Martin Antenreiter, Peter Auer, Markus Vincze
2009	A*	`conf`	Workshop summary: On-line learning with limited feedback. ICML Jean-Yves Audibert, Peter Auer, Alessandro Lazaric, Rémi Munos, Daniil Ryabko, Csaba Szepesvári
2008	J	`jnl`	A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks Peter Auer, Harald Burgsteiner, Wolfgang Maass
2008	—	`conf`	An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback. ICDM Workshops Alex Po Leung, Peter Auer
2008	J	`jnl`	Guest editors' introduction: Special issue on learning theory. J. Comput. Syst. Sci. Peter Auer, Philip M. Long
2008	—	`ch.`	Learning with Malicious Noise. Encyclopedia of Algorithms Peter Auer
2008	—	`conf`	Near-optimal Regret Bounds for Reinforcement Learning. NIPS Peter Auer, Thomas Jaksch, Ronald Ortner
2007	J	`jnl`	A new PAC bound for intersection-closed concept classes. Mach. Learn. Peter Auer, Ronald Ortner
2007	A*	`conf`	Improved Rates for the Stochastic Continuum-Armed Bandit Problem. COLT Peter Auer, Ronald Ortner, Csaba Szepesvári
2006	J	`jnl`	A distributed voting scheme to maximize preferences. RAIRO Theor. Informatics Appl. Peter Auer, Nicolò Cesa-Bianchi
2006	J	`jnl`	Generic Object Recognition with Boosting. IEEE Trans. Pattern Anal. Mach. Intell. Andreas Opelt, Axel Pinz, Michael Fussenegger, Peter Auer
2006	B	`conf`	Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring. ALT Chamy Allenberg, Peter Auer, László Györfi, György Ottucsák
2006	—	`conf`	Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning. NIPS Peter Auer, Ronald Ortner
2006	—	`conf`	Visual Classification of Images by Learning Geometric Appearances Through Boosting. ANNPR Martin Antenreiter, Christian Savu-Krohn, Peter Auer
2005	—	`conf`	A Simple Feature Extraction for High Dimensional Image Representations. SLSFS Christian Savu-Krohn, Peter Auer
2005	A*	`ed.`	Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings COLT Peter Auer, Ron Meir
2004	—	`conf`	A Boosting Approach to Multiple Instance Learning. ECML Peter Auer, Ronald Ortner
2004	A*	`conf`	A New PAC Bound for Intersection-Closed Concept Classes. COLT Peter Auer, Ronald Ortner
2004	—	`conf`	Object Recognition Using Segmentation for Feature Detection. ICPR (3) Michael Fussenegger, Andreas Opelt, Axel Pinz, Peter Auer
2004	—	`conf`	Weak Hypotheses and Boosting for Generic Object Detection and Recognition. ECCV (2) Andreas Opelt, Michael Fussenegger, Axel Pinz, Peter Auer
2002	J	`jnl`	Adaptive and Self-Confident On-Line Learning Algorithms. J. Comput. Syst. Sci. Peter Auer, Nicolò Cesa-Bianchi, Claudio Gentile
2002	J	`jnl`	Finite-time Analysis of the Multiarmed Bandit Problem. Mach. Learn. Peter Auer, Nicolò Cesa-Bianchi, Paul Fischer
2002	C	`conf`	Reducing Communication for Distributed Learning in Neural Networks. ICANN Peter Auer, Harald Burgsteiner, Wolfgang Maass
2002	J	`jnl`	The InfoSky visual explorer: exploiting hierarchical structure and document similarities. Inf. Vis. Keith Andrews, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Georg Droschl, Frank Kappe, Michael Granitzer, Peter Auer, Klaus Tochtermann
2002	J	`jnl`	The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
2002	J	`jnl`	Using Confidence Bounds for Exploitation-Exploration Trade-offs. J. Mach. Learn. Res. Peter Auer
2000	A*	`conf`	Adaptive and Self-Confident On-Line Learning Algorithms. COLT Peter Auer, Claudio Gentile
2000	A*	`conf`	An Improved On-line Algorithm for Learning Linear Evaluation Functions. COLT Peter Auer
2000	J	`jnl`	Approximating Hyper-Rectangles: Learning and Pseudo-random Sets Electron. Colloquium Comput. Complex. Peter Auer, Philip M. Long, Aravind Srinivasan
2000	J	`jnl`	Gambling in a rigged casino: The adversarial multi-armed bandit problem Electron. Colloquium Comput. Complex. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
2000	J	`jnl`	Learning Nested Differences in the Presence of Malicious Noise Electron. Colloquium Comput. Complex. Peter Auer
2000	J	`jnl`	Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes Electron. Colloquium Comput. Complex. Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
2000	J	`jnl`	On Learning from Ambiguous Information Electron. Colloquium Comput. Complex. Peter Auer
2000	J	`jnl`	On the Complexity of Function Learning Electron. Colloquium Comput. Complex. Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger
2000	J	`jnl`	On-line Learning of Rectangles in Noisy Environments Electron. Colloquium Comput. Complex. Peter Auer
2000	J	`jnl`	On-line Learning with Malicious Noise and the Closure Algorithm Electron. Colloquium Comput. Complex. Peter Auer, Nicolò Cesa-Bianchi
2000	J	`jnl`	Simulating Access to Hidden Information while Learning Electron. Colloquium Comput. Complex. Peter Auer, Philip M. Long
2000	J	`jnl`	Tracking the best disjunction Electron. Colloquium Comput. Complex. Peter Auer, Manfred K. Warmuth
2000	A*	`conf`	Using Upper Confidence Bounds for Online Learning. FOCS Peter Auer
1999	J	`jnl`	Structural Results About On-line Learning Models With and Without Queries. Mach. Learn. Peter Auer, Philip M. Long
1998	J	`jnl`	Approximating Hyper-Rectangles: Learning and Pseudorandom Sets. J. Comput. Syst. Sci. Peter Auer, Philip M. Long, Aravind Srinivasan
1998	J	`jnl`	On-Line Learning with Malicious Noise and the Closure Algorithm. Ann. Math. Artif. Intell. Peter Auer, Nicolò Cesa-Bianchi
1998	J	`jnl`	Tracking the Best Disjunction. Mach. Learn. Peter Auer, Manfred K. Warmuth
1997	A*	`conf`	Approximating Hyper-Rectangles: Learning and Pseudo-Random Sets. STOC Peter Auer, Philip M. Long, Aravind Srinivasan
1997	J	`jnl`	Learning Nested Differences in the Presence of Malicious Noise. Theor. Comput. Sci. Peter Auer
1997	A*	`conf`	On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. ICML Peter Auer
1997	J	`jnl`	The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note). Artif. Intell. Jyrki Kivinen, Manfred K. Warmuth, Peter Auer
1996	A*	`conf`	Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). COLT Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
1996	A*	`conf`	Tight Bounds on the Cumulative Profit of Distributed Voters (Abstract). PODC Peter Auer, Pasquale Caianiello, Nicolò Cesa-Bianchi
1995	—	`conf`	Exponentially many local minima for single neurons. NIPS Peter Auer, Mark Herbster, Manfred K. Warmuth
1995	A*	`conf`	Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. FOCS Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
1995	B	`conf`	Learning Nested Differences in the Presence of Malicious Noise. ALT Peter Auer
1995	J	`jnl`	On the Complexity of Function Learning. Mach. Learn. Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger
1995	A*	`conf`	Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. ICML Peter Auer, Robert C. Holte, Wolfgang Maass
1995	A*	`conf`	Tracking the Best Disjunction. FOCS Peter Auer, Manfred K. Warmuth
1994	J	`jnl`	Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Comput. Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer
1994	—	`conf`	On-line Learning with Malicious Noise and the Closure Algorithm. AII/ALT Peter Auer, Nicolò Cesa-Bianchi
1994	A*	`conf`	Simulating access to hidden information while learning. STOC Peter Auer, Philip M. Long
1993	A*	`conf`	On the Complexity of Function Learning. COLT Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger
1993	A*	`conf`	On-Line Learning of Rectangles in Noisy Environments. COLT Peter Auer
1991	—	`conf`	Solving String Equations with Constant Restrictions. IWWERT Peter Auer
1991	—	`conf`	Unification in the Combination of Disjoint Theories. IWWERT Peter Auer