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ORCID25. ALT 2014: Bled, Slovenia
- Peter Auer
, Alexander Clark, Thomas Zeugmann, Sandra Zilles:
Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science 8776, Springer 2014, ISBN 978-3-319-11661-7 - Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles:
Editors' Introduction. 1-7
Full Invited Papers
- Gérard Biau, Luc Devroye:
Cellular Tree Classifiers. 8-17 - Róbert Busa-Fekete, Eyke Hüllermeier:
A Survey of Preference-Based Online Learning with Bandit Algorithms. 18-39
Regular Contributions
- Timo Kötzing, Raphaela Palenta:
A Map of Update Constraints in Inductive Inference. 40-54 - Sanjay Jain, Timo Kötzing, Junqi Ma, Frank Stephan:
On the Role of Update Constraints and Text-Types in Iterative Learning. 55-69 - Sanjay Jain, Efim B. Kinber:
Parallel Learning of Automatic Classes of Languages. 70-84 - Laurent Bienvenu, Benoit Monin, Alexander Shen:
Algorithmic Identification of Probabilities Is Hard. 85-95 - Hasan Abasi, Ali Z. Abdi, Nader H. Bshouty:
Learning Boolean Halfspaces with Small Weights from Membership Queries. 96-110 - Hasan Abasi, Nader H. Bshouty, Hanna Mazzawi:
On Exact Learning Monotone DNF from Membership Queries. 111-124 - Dana Angluin, Dana Fisman:
Learning Regular Omega Languages. 125-139 - Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko:
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning. 140-154 - Prashanth L. A.:
Policy Gradients for CVaR-Constrained MDPs. 155-169 - Tor Lattimore, Marcus Hutter:
Bayesian Reinforcement Learning with Exploration. 170-184 - Marcus Hutter:
Extreme State Aggregation beyond MDPs. 185-199 - Tor Lattimore, András György, Csaba Szepesvári:
On Learning the Optimal Waiting Time. 200-214 - Nir Ailon, Kohei Hatano, Eiji Takimoto:
Bandit Online Optimization over the Permutahedron. 215-229 - Marcus Hutter:
Offline to Online Conversion. 230-244 - Andreas Maurer:
A Chain Rule for the Expected Suprema of Gaussian Processes. 245-259 - Vitaly Kuznetsov, Mehryar Mohri:
Generalization Bounds for Time Series Prediction with Non-stationary Processes. 260-274 - Rahim Samei, Boting Yang, Sandra Zilles:
Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes. 275-290 - Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin I. P. Rubinstein:
Robust and Private Bayesian Inference. 291-305 - Behnam Neyshabur, Yury Makarychev, Nathan Srebro:
Clustering, Hamming Embedding, Generalized LSH and the Max Norm. 306-320 - Jan Leike, Marcus Hutter:
Indefinitely Oscillating Martingales. 321-335 - Peter Bloem, Francisco Mota, Steven de Rooij, Luis Antunes, Pieter Adriaans:
A Safe Approximation for Kolmogorov Complexity. 336-350
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