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ORCID24. ALT 2013: Singapore
- Sanjay Jain, Rémi Munos, Frank Stephan, Thomas Zeugmann:
Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings. Lecture Notes in Computer Science 8139, Springer 2013, ISBN 978-3-642-40934-9 - Sanjay Jain, Rémi Munos, Frank Stephan
, Thomas Zeugmann:
Editors' Introduction. 1-12
Full Invited Papers
- Nir Ailon:
Learning and Optimizing with Preferences. 13-21 - Eiji Takimoto, Kohei Hatano:
Efficient Algorithms for Combinatorial Online Prediction. 22-32 - Nader H. Bshouty:
Exact Learning from Membership Queries: Some Techniques, Results and New Directions. 33-52
Regular Contributions
- Vladimir V. V'yugin:
Universal Algorithm for Trading in Stock Market Based on the Method of Calibration. 53-67 - Takahiro Fujita, Kohei Hatano, Eiji Takimoto:
Combinatorial Online Prediction via Metarounding. 68-82 - Jara Uitto, Roger Wattenhofer:
On Competitive Recommendations. 83-97 - Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth:
Online PCA with Optimal Regrets. 98-112 - Ziyuan Gao, Frank Stephan, Sandra Zilles:
Partial Learning of Recursively Enumerable Languages. 113-127 - John Case, Timo Kötzing:
Topological Separations in Inductive Inference. 128-142 - Chihiro Shibata, Ryo Yoshinaka:
PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties from Positive Data. 143-157 - Laurent Orseau, Tor Lattimore, Marcus Hutter:
Universal Knowledge-Seeking Agents for Stochastic Environments. 158-172 - Malte Darnstädt, Thorsten Doliwa, Hans Ulrich Simon, Sandra Zilles:
Order Compression Schemes. 173-187 - M. Jagadish, Anindya Sen:
Learning a Bounded-Degree Tree Using Separator Queries. 188-202 - Po-Ling Loh, Sebastian Nowozin:
Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates. 203-217 - Odalric-Ambrym Maillard:
Robust Risk-Averse Stochastic Multi-armed Bandits. 218-233 - Gergely Neu, Gábor Bartók:
An Efficient Algorithm for Learning with Semi-bandit Feedback. 234-248 - Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni:
Differentially-Private Learning of Low Dimensional Manifolds. 249-263 - Viet Cuong Nguyen, Lam Si Tung Ho, Vu C. Dinh:
Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. 264-278 - Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer:
Adaptive Metric Dimensionality Reduction. 279-293 - Ata Kabán, Robert J. Durrant:
Dimension-Adaptive Bounds on Compressive FLD Classification. 294-308 - Pierre Alquier:
Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study. 309-323 - Tor Lattimore, Marcus Hutter, Peter Sunehag:
Concentration and Confidence for Discrete Bayesian Sequence Predictors. 324-338 - Aaditya Ramdas, Aarti Singh:
Algorithmic Connections between Active Learning and Stochastic Convex Optimization. 339-353 - Daniil Ryabko:
Unsupervised Model-Free Representation Learning. 354-366 - Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni:
Fast Spectral Clustering via the Nyström Method. 367-381 - Azadeh Khaleghi, Daniil Ryabko:
Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series. 382-396
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